#how to learn salesforce cloud commerce

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What is Salesforce Cloud commerce(SFCC)?

Salesforce Cloud Commerce is an e-commerce platform that enables businesses to set up online stores for B2C, B2B, and CRM.

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ROI isn't just a metric; it's the lifeline of your business. Our latest blog dives deep into how Salesforce Commerce Cloud can be a game-changer for UK businesses. From robust architecture to B2C tools, learn how to leverage this platform for high ROI.

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What Are the Key Steps in AI Chatbot Development?

In the era of instant digital interaction, AI chatbots have become indispensable tools for businesses seeking to enhance customer experience, streamline operations, and drive engagement. From handling customer queries to automating repetitive tasks, chatbots are revolutionizing how companies communicate. But how exactly is an AI chatbot created? Let’s walk through the key steps in AI chatbot development, from concept to deployment and optimization.

1. Define the Chatbot's Purpose and Goals

Before jumping into development, it's crucial to define what the chatbot is supposed to do. Consider the following questions:

Will it answer customer service queries?

Will it guide users through a purchase journey?

Will it be used for internal tasks like IT support?

Setting a clear purpose allows for focused development and helps determine the required features, platforms, and AI sophistication. This phase also includes identifying the target audience and expected interactions.

2. Choose the Right Chatbot Type

There are mainly two types of chatbots:

Rule-based chatbots: Follow a predefined flow and can handle simple queries.

AI-powered chatbots: Use machine learning (ML) and natural language processing (NLP) to understand context, intent, and user sentiment.

For businesses looking to provide more personalized and adaptive interactions, AI chatbots are the go-to solution.

3. Select Development Tools and Platforms

Once you’ve determined the type, select the appropriate tools and platforms. Popular options include:

Development Frameworks: Microsoft Bot Framework, Google Dialogflow, Rasa, IBM Watson Assistant

Languages: Python, Node.js, Java

Hosting Platforms: AWS, Google Cloud, Azure

You also need to decide where the chatbot will be deployed—web, mobile apps, messaging platforms (like WhatsApp or Facebook Messenger), or all.

4. Design the Conversation Flow

Conversation design is one of the most creative and strategic parts of chatbot development. It includes:

Mapping out various user scenarios

Designing dialog trees for rule-based responses

Creating intents, entities, and responses for AI-based models

Considering fallback responses when the bot doesn’t understand

For AI-powered bots, the design must also factor in context retention and multi-turn conversations.

5. Train the NLP Model

If you're building an AI chatbot, you must train it to understand human language. This includes:

Defining intents (what the user wants)

Setting up entities (important data in user inputs)

Feeding sample utterances for each intent

Training the model with diverse input scenarios

The more varied the training data, the better your chatbot will perform. Using pre-trained language models like GPT or BERT can give you a strong starting point.

6. Integrate with Backend Systems

For the chatbot to be truly useful, it must integrate with databases, CRMs, ERPs, and APIs. For example:

An e-commerce chatbot might connect to inventory and order tracking systems.

A customer service bot may pull user data from a CRM like Salesforce.

An internal HR bot might integrate with employee databases and leave management tools.

This enables real-time, dynamic responses and allows the bot to perform complex tasks.

7. Test Extensively

Before deployment, thorough testing is essential:

Unit Testing: Each component (intent recognition, entity extraction, etc.)

Integration Testing: Interactions with external systems

User Testing: Real users interacting with the bot to check for errors, confusion, and gaps

Testing should focus on usability, accuracy, fallback behavior, and performance under load.

8. Deploy the Chatbot

Once the chatbot passes all tests, it’s ready for deployment. Ensure it’s launched on the desired platforms and integrated with necessary monitoring tools. Set up analytics dashboards to track:

Number of users

Engagement rate

Drop-off points

Intent success rate

Cloud-based services make deployment scalable and manageable.

9. Monitor, Analyze, and Optimize

Post-launch, the real work begins. Continuous improvement is key to chatbot success:

Collect conversation logs and analyze them for improvement areas

Use analytics to track usage trends and performance metrics

Regularly retrain the AI model with new data

Add new intents, flows, or languages based on user feedback

Optimization should be a regular process to keep the chatbot relevant and effective.

10. Ensure Security and Compliance

AI chatbots often handle sensitive data. It’s critical to:

Implement end-to-end encryption

Follow GDPR, HIPAA, or other industry-specific regulations

Use secure APIs and authentication mechanisms

Security measures must be baked in from the design phase, not added later.

Conclusion

AI chatbot development is a multi-stage journey that combines strategic planning, technical expertise, and ongoing refinement. By following these key steps—from goal setting and tool selection to testing and optimization—you can build a chatbot that not only automates tasks but also enhances user experience and delivers business value.

As businesses increasingly embrace automation, AI chatbot development is no longer optional—it’s a competitive necessity. Whether you're a startup or an enterprise, investing in a well-planned chatbot strategy can lead to smarter interactions, happier customers, and a more efficient organization.

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The Rise of Subscription-Based Business Models: A Game-Changer for Modern Commerce

In recent years, subscription-based business models have become a dominant force across multiple industries, transforming how products and services are delivered and consumed. From software and entertainment to food delivery and personal care, subscriptions are reshaping traditional sales models and enabling companies to build recurring revenue streams while forging stronger customer relationships.

This model, once primarily associated with magazines and newspapers, is now prevalent in both B2B and B2C sectors. With digital infrastructure and consumer behavior evolving rapidly, businesses are discovering that subscriptions not only offer financial predictability but also open the door to deeper engagement, loyalty, and personalization.

What Is a Subscription-Based Business Model?

A subscription-based model allows customers to pay a recurring fee—monthly, quarterly, or annually—to access a product or service. Instead of a one-time purchase, the value is delivered continuously over time. This could be access to cloud-based software (SaaS), streaming content, curated product boxes, or ongoing maintenance and support services.

The shift to this model is driven by a combination of technological enablement and consumer preference. Modern customers prefer flexibility, convenience, and personalized experiences—exactly what subscriptions are built to offer.

Benefits for Businesses

1. Predictable Revenue and Cash Flow

One of the biggest advantages for businesses is the predictability of income. Subscriptions enable consistent cash flow, making it easier to plan budgets, invest in growth initiatives, and make strategic decisions with confidence.

2. Customer Retention and Loyalty

With an ongoing relationship rather than a single transaction, businesses have the opportunity to increase customer lifetime value. Subscription models naturally encourage retention by continuously offering value and creating a habit around usage.

3. Data and Insights

Recurring interactions provide companies with a wealth of customer data. This enables tailored marketing, timely upgrades, and product improvements based on real-time feedback and behavioral trends.

4. Scalability

Most subscription models—especially digital ones—are highly scalable. Once infrastructure is in place, onboarding additional customers requires relatively low incremental cost, leading to stronger margins as the user base grows.

Popular Industries Leveraging Subscriptions

Software and Tech

Perhaps the most visible example is SaaS. Companies like Adobe, Microsoft, and Salesforce have moved from perpetual licenses to monthly and annual subscriptions, allowing users access to the latest features, updates, and cloud-based collaboration tools.

Entertainment and Media

Netflix, Spotify, and Disney+ have redefined how content is consumed. Instead of purchasing individual albums or DVDs, users now enjoy unlimited access under one flat fee.

E-commerce and Consumer Goods

Subscription boxes like Dollar Shave Club, Birchbox, and HelloFresh have revolutionized the way people shop for essentials, cosmetics, and meals—adding surprise, curation, and convenience to the equation.

Education and Learning

Online learning platforms are increasingly adopting subscriptions, offering unlimited course access, skill development paths, and certification programs under affordable monthly fees.

Challenges to Consider

Despite the clear benefits, transitioning to a subscription model isn’t without challenges. High customer acquisition costs, churn management, and maintaining consistent value delivery can be major hurdles. Moreover, businesses need to avoid the trap of overpromising and underdelivering, which can quickly erode trust and retention.

To succeed, companies must invest in seamless onboarding, exceptional customer support, and clear communication of benefits. Subscription fatigue is also a growing concern, with many users overwhelmed by the number of recurring charges in their lives. Therefore, businesses need to justify their subscription's value consistently and compellingly.

Building a Successful Subscription Strategy

For companies considering the shift to a subscription model, the following components are key:

Flexible pricing tiers to cater to different audience segments.

Free trials to let users experience value before committing.

Loyalty programs to reward long-term subscribers.

User-centric design for frictionless sign-up, usage, and cancellation.

Regular updates and communication to show ongoing improvement.

Integrating these elements can foster a sense of trust and demonstrate long-term commitment to customer satisfaction.

When presenting or pitching new subscription strategies, having access to proper terminology and business communication tools is essential. Platforms like businessphrases.net provide valuable phrases, templates, and expressions tailored for business professionals to effectively convey their ideas, especially in strategic planning and marketing contexts.

The Future of Subscriptions

As consumers increasingly seek experiences over ownership, the appeal of subscription models will only grow. We’re already witnessing hybrid approaches—like “subscribe and own” or “freemium to premium” upgrades—blending traditional and recurring models to suit different audience needs.

Emerging technologies such as AI and blockchain are also enhancing subscription services. AI helps personalize offerings, while blockchain ensures transparency and trust in digital transactions. Additionally, business-to-business subscriptions are evolving, with companies offering software, insights, and advisory services on a recurring basis—creating long-term partnerships rather than one-off contracts.

Conclusion

Subscription-based business models have fundamentally changed how companies operate and how customers interact with brands. With benefits ranging from predictable revenue and customer loyalty to data-driven personalization, it’s no surprise that this model continues to expand across industries.

However, the key to long-term success lies in delivering consistent value, adapting to customer needs, and maintaining transparency. As the digital economy continues to evolve, businesses that refine and innovate their subscription strategies will remain at the forefront of growth and customer engagement.

[spoorthizoringa]

CRM for E-Commerce: The Ultimate Tool to Boost Your Online Business Growth

Introduction to CRM E-commerce

In today’s digital marketplace, CRM E-commerce is a vital technology that helps online retailers manage customer relationships efficiently. It integrates sales, marketing, and customer service into a single platform, enabling personalized communication and improving customer retention. With fierce competition in the e-commerce space, businesses leveraging CRM E-commerce gain a significant edge through automation and data-driven strategies.

What is CRM E-commerce?

CRM E-commerce refers to customer relationship management systems specially tailored to meet the needs of online stores. It captures customer data such as browsing habits, purchase history, and feedback, then uses this information to personalize marketing efforts, automate communication, and enhance the overall shopping experience.

Key Features of CRM E-commerce

1. Customer Data Management

CRM E-commerce platforms centralize all customer information, allowing businesses to track buying behavior, preferences, and interactions seamlessly.

2. Marketing Automation

Automate workflows like email marketing, promotional campaigns, and personalized product recommendations to increase engagement and sales.

3. Abandoned Cart Recovery

Detect when customers leave without completing purchases and send timely reminders or incentives to recover lost sales.

4. Segmentation and Targeting

Divide customers into segments based on demographics, purchase frequency, or engagement level, enabling highly targeted marketing.

5. Multi-Channel Integration

Connect CRM E-commerce with social media, email, live chat, and marketplaces for consistent customer communication.

6. Customer Support

Integrate customer service tools to track queries, resolve issues faster, and improve satisfaction.

7. AI-Powered Insights

Use artificial intelligence to forecast trends, predict customer lifetime value, and optimize campaign timing.

Benefits of CRM E-commerce

Personalized Customer Experience: Tailored content and offers boost customer satisfaction and loyalty.

Improved Sales Conversion: Automated reminders and targeted upselling improve purchase rates.

Higher Customer Retention: Regular engagement nurtures long-term relationships.

Better Collaboration: Marketing, sales, and support teams work cohesively on a unified platform.

Data-Driven Decisions: Detailed analytics guide strategy adjustments and budget allocation.

Efficient Handling of Customer Queries: Faster resolution of issues enhances brand reputation.

How CRM E-commerce Boosts Your Online Business

Using CRM E-commerce allows businesses to understand customer behavior deeply and respond in real time. It enables personalized marketing, improves customer service, and automates tedious tasks, freeing resources to focus on growth. Moreover, it helps identify high-value customers and create loyalty programs that reward repeat purchases, driving revenue upwards.

Popular CRM E-commerce Platforms

Shopify CRM – Built for Shopify stores with seamless integration.

Klaviyo – Known for powerful email automation tailored to e-commerce.

HubSpot CRM – Offers a free plan with advanced marketing features.

Zoho CRM – Affordable and flexible for small to medium businesses.

Salesforce Commerce Cloud – Enterprise-grade solution for large retailers.

Future Trends in CRM E-commerce

AI and Machine Learning: Enhanced predictive analytics for better targeting.

Voice and Visual Search Integration: Supporting new shopping behaviors.

Augmented Reality (AR): Enabling virtual try-ons linked to CRM profiles.

Mobile-First CRM Systems: Optimized for smartphone management and customer engagement.

Conclusion

CRM E-commerce is no longer optional but essential for any online business aiming for sustainable growth. By centralizing customer data, automating marketing, and personalizing the shopping experience, it helps retailers build stronger relationships and increase profits. Investing in a robust CRM E-commerce solution ensures your brand stays competitive in an evolving digital landscape.

FAQs

1. What does CRM E-commerce mean? It is a system that manages customer interactions and automates marketing for online stores.

2. How does CRM E-commerce improve sales? Through personalized marketing, abandoned cart recovery, and targeted upselling.

3. Can CRM E-commerce handle customer support? Yes, it integrates with support tools for faster issue resolution.

4. Is CRM E-commerce suitable for small businesses? Absolutely, many affordable and scalable options exist.

5. What data does CRM E-commerce collect? Customer contacts, purchase history, browsing behavior, and engagement metrics.

6. How does CRM E-commerce help with marketing? By automating campaigns and segmenting customers for precise targeting.

7. Can CRM E-commerce predict customer behavior? Yes, AI features enable predictive analytics.

8. Does CRM E-commerce integrate with social media? Yes, it supports multi-channel marketing including social platforms.

9. What are common CRM E-commerce platforms? Shopify CRM, Klaviyo, HubSpot CRM, Zoho CRM, Salesforce Commerce Cloud.

10. How does CRM E-commerce support customer retention? By enabling personalized communication and loyalty program management.

[erpone]

Top 10 Features to look for in ERP and CRM Software

In today’s fast-paced digital economy, companies cannot afford inefficiency, disjointed data, or fractured customer experiences. To stay ahead, businesses are investing in intelligent systems that seamlessly integrate their internal processes and customer interactions. That’s where ERP (Enterprise Resource Planning) and CRM (Customer Relationship Management) software step in.

While ERP streamlines back-end operations such as finance, supply chain, and inventory management, CRM empowers the front-end by managing customer relationships, sales pipelines, and marketing campaigns. Integrating both offers a comprehensive view of the enterprise fueling agility, efficiency, and profitability.

Yet, the real challenge lies in choosing the right solution.

In this definitive guide, we explore the top 10 features to look for in ERP and CRM software, ensuring your business makes a choice that’s not only functional but future-proof.

1. Unified and Scalable Architectur

Why It Matters:

An integrated platform that supports both ERP and CRM functionalities under one roof offers seamless data flow, fewer silos, and enhanced collaboration.

Look for a system that offers modular scalability, allowing you to start with core features and expand as your needs grow. Whether you’re a startup aiming for rapid expansion or an enterprise optimizing multi-departmental workflows, a unified architecture ensures long-term ROI and simplified IT maintenance.

2. Real-Time Data and Advanced Analytics

Why It Matters:

In today’s data-driven world, decisions based on outdated reports can cost millions. The best ERP and CRM platforms offer real-time dashboards, predictive analytics, and customizable reporting tools to provide insights at every touchpoint.

From sales forecasting and inventory trends to financial analysis and customer behaviour, real-time intelligence fuels better strategy and faster execution.

3. Cloud-Based Deployment and Mobility

Why It Matters:

Modern enterprises demand accessibility. Cloud-based ERP and CRM solutions enable employees to access systems from anywhere — be it in the office, on the road, or while working remotely.

Look for platforms offering mobile-friendly interfaces, secure cloud hosting, and automatic updates. These features ensure business continuity, data resilience, and lower total cost of ownership (TCO).

4. Customization and Configurability

Why It Matters:

Every business is unique. Off-the-shelf software often misses the mark when it comes to aligning with specialized workflows or industry-specific compliance requirements.

Choose a solution that offers drag-and-drop tools, workflow builders, role-based configurations, and API support. A customizable ERP/CRM ensures that your technology fits your processes, not the other way around.

5. Seamless Third-Party Integration

Why It Matters:

Your ERP and CRM software should not exist in a silo. Whether you’re using an e-commerce platform, email marketing suite, HR management system, or accounting software, integration is key.

Modern solutions offer open APIs, RESTful web services, and native plug-ins for platforms like Shopify, Salesforce, QuickBooks, Outlook, and more.

6. AI-Powered Automation and Machine Learning

Why It Matters:

AI isn’t just a buzzword — it’s revolutionizing how we work. Look for ERP and CRM software with AI-powered forecasting, customer segmentation, automated invoicing, lead scoring, and chatbots.

These intelligent features reduce manual tasks, improve accuracy, and help teams focus on strategic activities.

7. Comprehensive Financial Management

Why It Matters:

Your ERP system should provide a robust financial suite covering general ledger, accounts payable and receivable, budgeting, multi-currency support, tax compliance, and audit trails.

Having CRM integration ensures you align financial data with customer activity — especially critical for quote-to-cash workflows, invoicing, and revenue recognition.

8. Customer 360° View and Relationship Intelligence

Why It Matters:

The strength of a CRM lies in its ability to provide a 360-degree view of the customer including touchpoints, purchase history, support interactions, and behavioural data.

When tightly coupled with ERP, this offers holistic insights into customer profitability, order trends, and service performance powering personalized engagement and strategic retention.

9. Strong Security and Regulatory Compliance

Why It Matters:

With growing cyber threats and evolving regulations, your ERP and CRM software must ensure enterprise-grade security and regulatory adherence.

Look for multi-factor authentication (MFA), role-based access controls, end-to-end encryption, and compliance with GDPR, HIPAA, SOX, or industry-specific standards.

10. Exceptional User Experience (UX) and Support

Why It Matters:

All the functionality in the world won’t matter if your team finds the system clunky or unintuitive. Seek platforms that offer clean UI design, task automation, personalized dashboards, and embedded tutorials.

Equally critical is post-implementation support. Choose vendors known for responsive customer service, training programs, onboarding support, and community forums.

Bonus Feature: Sales and Marketing Automation

Although not part of the core “ten,” this feature deserves honourable mention. Integrated marketing tools within CRM allow for email campaigns, social media tracking, SEO performance metrics, lead nurturing workflows, and performance attribution — all crucial in modern B2B and B2C marketing landscapes.

Conclusion

Choosing ERP and CRM software is no longer just an IT decision — it’s a strategic imperative that shapes your business’s ability to operate, scale, and compete. The right features will ensure your organization is not merely managing data but transforming it into actionable intelligence and tangible results.

When selecting a solution, evaluate more than just the brochure. Run trials, request demos, consult with stakeholders, and prioritize long-term alignment over short-term trends.

[cybersecurityict]

Digital Marketing Software Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Post-Pandemic Recovery and Future Outlook

The Digital Marketing Software Market was valued at USD 74.9 billion in 2023 and is expected to reach USD 302.7 billion by 2032, growing at a CAGR of 16.79% from 2024-2032.

The Digital Marketing Software Market is rapidly transforming how businesses engage with their customers, optimize campaigns, and drive measurable results. With the surge in online activities and digital content consumption, organizations are increasingly adopting sophisticated software solutions to streamline marketing efforts. These platforms empower marketers with data-driven insights, automation capabilities, and enhanced personalization, making marketing campaigns more effective than ever before. As companies strive to stay competitive, the demand for integrated digital marketing tools continues to escalate globally.

Digital Marketing Software Market continues to be a key enabler for businesses looking to maximize their digital footprint and ROI. The integration of AI and machine learning technologies in marketing software is pushing boundaries, offering predictive analytics, customer segmentation, and dynamic content optimization. This evolution not only simplifies complex marketing processes but also fosters better customer engagement and loyalty. The market's growth is further fueled by the rise of social media advertising, influencer marketing, and omnichannel strategies that require robust, adaptable software solutions.

Get Sample Copy of This Report: https://www.snsinsider.com/reports/digital-market-6507 

Market Keyplayers:

Adobe Inc. – Adobe Experience Cloud

Salesforce, Inc. – Marketing Cloud

Oracle Corporation – Oracle Eloqua

HubSpot, Inc. – HubSpot Marketing Hub

SAP SE – SAP Emarsys Customer Engagement

ActiveCampaign, LLC – ActiveCampaign Marketing Automation

Mailchimp (Intuit Inc.) – Mailchimp

HCL Technologies Ltd. – HCL Unica

SAS Institute Inc. – SAS Customer Intelligence

Insider – Insider Growth Management Platform

Klaviyo, Inc. – Klaviyo Email Marketing

Iterable, Inc. – Iterable Growth Marketing Platform

Zoho Corporation Pvt. Ltd. – Zoho Marketing Plus

Constant Contact, Inc. – Constant Contact Email Marketing

Campaign Monitor (Marigold) – Campaign Monitor

Market Analysis

The Digital Marketing Software Market is characterized by intense innovation and diverse applications across industries. Key players focus on enhancing user experience through cloud-based platforms, mobile-friendly interfaces, and multi-channel integration. Small and medium enterprises (SMEs) are increasingly leveraging these tools to compete with larger organizations by accessing affordable and scalable solutions. Moreover, regulatory frameworks around data privacy and security have prompted software vendors to prioritize compliance and transparency, adding layers of trust to their offerings.

Market Trends

Growing adoption of AI and machine learning for campaign automation

Increased investment in omnichannel marketing strategies

Rising demand for personalized customer experiences

Expansion of cloud-based digital marketing solutions

Enhanced focus on data privacy and GDPR compliance

Surge in influencer marketing platforms integrated with analytics

Use of predictive analytics to improve customer targeting

Market Scope

Enabling businesses of all sizes to harness digital transformation

Providing end-to-end solutions from content creation to performance measurement

Supporting real-time data analytics for agile marketing decisions

Facilitating seamless integration with CRM and e-commerce platforms

Driving innovation in customer engagement through AI-powered tools

Digital marketing software offers unparalleled potential to transform business strategies, helping brands reach wider audiences efficiently and effectively while adapting swiftly to market changes.

Market Forecast

The future of the Digital Marketing Software Market looks promising, with rapid technological advancements shaping the landscape. As digital ecosystems evolve, marketing software will become increasingly intelligent, intuitive, and integrated with emerging platforms like metaverse marketing and voice commerce. The demand for comprehensive, easy-to-use solutions that deliver actionable insights and automate routine tasks is expected to propel continuous growth. Businesses embracing these innovations will gain a distinct competitive advantage, enabling deeper customer connections and sustained success.

Access Complete Report: https://www.snsinsider.com/reports/digital-market-6507 

Conclusion

As the digital era accelerates, the Digital Marketing Software Market stands at the forefront of empowering businesses to navigate complex customer journeys with precision and creativity. The dynamic nature of this market offers endless possibilities for marketers to innovate, engage, and excel. Companies investing in cutting-edge digital marketing tools will not only enhance operational efficiency but also unlock new growth avenues in an increasingly connected world.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[techforce-services]

Salesforce AI Cloud in Action: Real-World Use Cases Transforming Industries

Artificial intelligence (AI) has gone from being something in the future; it's revolutionizing how companies operate now. One of the leading platforms that is revolutionizing this is Salesforce AI Cloud. But in what ways is Salesforce AI influencing various industries? In what ways are companies utilizing it to address practical problems and promote innovation? Let’s examine these questions and investigate transformative applications.

What does Salesforce AI Cloud refer to?

Salesforce AI Cloud is an all-inclusive collection of AI-driven tools aimed at improving customer interactions, streamlining processes, and providing valuable insights. By seamlessly incorporating Salesforce's CRM environment, the AI Cloud elevates machine learning, natural language processing, and predictive analytics within business operations.

Marc Benioff, the CEO of Salesforce, wisely states: “AI is shaping the future of business, and Salesforce serves as the bridge linking companies to this future.”

Major Applications of Salesforce AI Cloud in Various Sectors

Salesforce AI Cloud gives customer service teams Einstein AI, giving real-time suggestions and automated answers.

Retail: AI-powered chatbots enhance shopping by giving instant answers to questions, sending tailored product recommendations, and making returns easier.

Healthcare: Virtual assistants assist in scheduling appointments, updating health histories, and doing follow-up care, significantly reducing wait times.

For example, a global e-commerce company reduced its response time for customer service by 40%., leveraging Salesforce AI-powered chatbots. Not only it increased customer satisfaction, but it also freed agents to focus on more complex cases instead.

Complementing Sales and Marketing with Predictive Analytics

Salesforce AI Cloud transforms sales and marketing strategies with predictive analytics and deeper segmentation.

Finance: By analyzing client data, AI helps identify high-value customers and recommends tailored products, such as investment plans or credit products.

Tech Sector: AI algorithms forecast customer dropout rates and recommend prompt actions, leading to improved retention levels.

Were you aware? Companies leveraging Salesforce's AI features experienced a 25% increase in lead conversion rates, according to a recent user survey by Salesforce.

Optimizing Supply Chain and Logistics

Overseeing supply chains can be a logistical challenge, yet Salesforce AI Cloud makes it easier through intelligent forecasting and automation.

Manufacturing: Anticipatory maintenance plans minimize equipment inactivity and enhance production schedules.

Transportation: Tools for route optimization examine traffic trends and weather information, guaranteeing prompt deliveries.

Consider the instance of a logistics firm that incorporated Salesforce AI Cloud. Through the analysis of shipment data, it improved routes, leading to a 20% decrease in transportation costs and a 15% reduction in delivery delays.

 Fostering Innovation in Education

Salesforce AI is advancing in education by developing customized learning paths and optimizing administrative duties.

Student Involvement: AI algorithms detect educational deficiencies and suggest resources customized to personal requirements.

Operational Efficiency: Automation tools effortlessly manage enrollment procedures, class timetables, and faculty oversight.

An educational organization utilizing Salesforce AI Cloud indicated a 30% increase in student engagement metrics, demonstrating that technology can transform conventional systems.

Revolutionizing Healthcare through Predictive Analytics

The healthcare sector is gaining significantly from Salesforce AI Cloud, especially in terms of patient care and operational effectiveness.

Diagnosis and Treatment: AI examines patient records and proposes precise diagnoses, facilitating quicker treatment strategies.

Resource Distribution: Predictive analytics guarantee ideal staffing in busy periods and effective distribution of medical tools.

How Salesforce AI Cloud Strengthens Decision-Makers' Capabilities 

Salesforce AI Cloud not only improves daily operations but also provides leaders with the resources needed to make knowledgeable, data-informed decisions. By consolidating essential information and delivering practical insights, companies are able to: 

Recognize Patterns: AI detects trends in customer actions, allowing for proactive modifications to approaches. 

Enhance Resource Use: Through predictive analytics, businesses assign resources more efficiently, minimizing waste and boosting profits. 

Foster Strategic Expansion: By utilizing AI insights, companies can identify growth prospects and optimize their expansion strategies. 

Why Salesforce AI Cloud is a Revolutionary Solution 

The strength of Salesforce AI Cloud is found in its flexibility and integration. No matter the sector, companies can leverage its potential to promote growth, boost efficiency, and remain competitive in a world dominated by AI. 

Here’s what makes it distinct: 

Scalability: Whether you are a small business or a global enterprise, Salesforce AI Cloud adjusts to fulfill your requirements. 

Integration: It smoothly connects with current Salesforce solutions, guaranteeing little disruption throughout the implementation process. 

Innovation: Ongoing updates and improvements ensure that companies remain at the forefront of AI technology. 

Conclusion: Prepared to Change Your Business? 

Therefore, what strategies can your company utilize to leverage the capabilities of Salesforce AI Cloud? The solution is found in matching its abilities with your unique objectives and obstacles. From enhancing customer interaction to streamlining processes, the opportunities are extensive and diverse. 

It’s time to make a move. Check out TechForce Services to discover customized Salesforce AI solutions and learn how they can drive your business into the AI-driven future. Keep in mind that the future is here—ensure your business stays relevant. 

[industrynewsupdates]

Investment Trends in AI Agents: What Investors Need to Know

According to a recent report published by Grand View Research, Inc., the global AI agents market is projected to reach a value of USD 50.31 billion by the year 2030, experiencing a robust compound annual growth rate (CAGR) of 45.8% between 2025 and 2030. This significant market expansion is being propelled by ongoing advancements in artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) technologies. AI agents—such as chatbots, virtual assistants, and systems capable of autonomous decision-making—are seeing increased adoption across various sectors, including healthcare, finance, e-commerce, and customer service.

Organizations are increasingly turning to these AI solutions to enhance operational efficiency, reduce operational costs, and deliver improved user experiences. The growing interest in automation, when combined with the rapid proliferation of big data and the widespread adoption of cloud computing, is acting as a catalyst for the accelerated development of the AI agents market. For example, in October 2024, Honeywell International Inc., a prominent U.S.-based technology firm, and Google Cloud announced a partnership to integrate AI agents into Honeywell Forge, the company’s Industrial Internet of Things (IIoT) platform. This collaboration is designed to improve autonomous industrial operations, enhance productivity, and support workforce upskilling. The initiative leverages Google Cloud’s Gemini AI technology to develop purpose-built industrial AI agents and introduce sophisticated cybersecurity capabilities.

A particularly notable trend within this domain is the emergence of Automated Customer Service Agents (ACSAs), which are significantly reshaping the AI agent landscape. In an effort to streamline operations, enhance customer satisfaction, and minimize expenses, many companies are implementing AI-powered customer service technologies as a key strategic focus. The rapid adoption and continuous evolution of ACSAs are fostering innovation, unlocking new growth opportunities, and redefining how businesses interact with their customers. One of the core advantages of AI agents lies in their capacity to manage multiple customer inquiries simultaneously, leading to substantially reduced wait times and improved service standards. This scalable efficiency is particularly advantageous for businesses handling high volumes of customer interactions, positioning AI agents as a cornerstone of contemporary customer service strategies.

Get a preview of the latest developments in the AI Agents Market? Download your FREE sample PDF copy today and explore key data and trends. 

Frequently Asked Questions (FAQ) About the AI Agents Market

1. What is the AI agents market size and growth forecast?

The global AI agents market was valued at USD 5.40 billion in 2024 and is projected to reach USD 50.31 billion by 2030, growing at a CAGR of 45.8% from 2025 to 2030.

2. Which industries are driving AI agent adoption?

Key sectors adopting AI agents include:

• Healthcare: Enhancing diagnostics, patient engagement, and administrative efficiency.

• Finance: Improving fraud detection, risk management, and customer onboarding.

• E-commerce: Personalizing shopping experiences and optimizing supply chains.

• Customer Service: Automating support through chatbots and virtual assistants.

3. What are the technological advancements in AI agents?

Advancements include:

• Natural Language Processing (NLP): Improving human-agent communication.

• Machine Learning (ML): Enabling agents to learn and adapt over time.

• Deep Learning: Enhancing decision-making capabilities.

4. What are some notable AI agent platforms?

• Google's Gemini AI: Integrated with Honeywell Forge for industrial automation.

• Salesforce's Einstein AI: Automates customer service processes and provides AI-driven recommendations.

• IBM's Granite AI: Enables businesses to develop custom AI agents with minimal setup .

5. Who are the major players in the AI agents market?

Key companies include:

• Google

• IBM

• Salesforce

• Microsoft

• Amazon Web Services

• Meta

• NVIDIA

• Alibaba Group

Order a free sample PDF of the AI Agents Market Intelligence Study, published by Grand View Researc

[himanshu123]

Top 10 E-commerce Platforms Compared: Which One is Right for Your Business in 2025? 

The e-commerce landscape is rapidly evolving in 2025, with new technologies, consumer behaviors, and business models shaping how products are sold and purchased online. Whether you're launching a new venture or upgrading your digital storefront, selecting the right platform is critical. Today’s e-commerce solutions range from plug-and-play systems to highly customizable frameworks designed to meet specific business needs. To help you decide, we’ve compared the top 10 e-commerce platforms of 2025 based on features, scalability, ease of use, and pricing. 

1. Shopify 

Best for beginners and small businesses.  Shopify remains a favorite in 2025 for its user-friendly interface, vast template selection, and all-in-one solution. It supports omnichannel selling, integrates with social media, and offers hundreds of apps for added functionality. However, customization can be limited compared to open-source platforms. 

Pros: Easy to set up, excellent customer support, mobile optimization  Cons: Transaction fees, limited design flexibility without coding 

2. WooCommerce 

Ideal for WordPress users.  WooCommerce is a powerful WordPress plugin that gives you full control over your online store. It’s highly customizable, supports extensions, and is great for content-driven e-commerce sites. You’ll need a bit of technical know-how or developer support. 

Pros: Open-source, scalable, SEO-friendly  Cons: Requires hosting and maintenance, plugin compatibility issues 

3. BigCommerce 

Great for growth-stage businesses.  BigCommerce is a robust, SaaS-based platform ideal for growing brands. It offers enterprise-level features like multi-channel selling, advanced analytics, and no transaction fees. It's also well-suited for B2B and B2C. 

Pros: Scalable, strong SEO tools, no additional fees  Cons: Learning curve, limited themes 

4. Wix eCommerce 

Perfect for small businesses and creatives.  Wix offers drag-and-drop simplicity and stylish templates, making it ideal for entrepreneurs who prioritize design and ease. In 2025, Wix continues to innovate with new AI features and improved e-commerce capabilities. 

Pros: Easy to use, visually appealing  Cons: Limited scalability, basic inventory management 

5. Magento (Adobe Commerce) 

Best for large enterprises.  Now part of Adobe Commerce, Magento is ideal for enterprises requiring deep customization and scalability. It’s highly flexible, supports global commerce, and offers personalized experiences at scale. 

Pros: Extremely customizable, robust for large catalogs  Cons: High development and maintenance costs 

6. Squarespace Commerce 

Stylish and intuitive.  Known for sleek templates, Squarespace now offers a solid e-commerce experience with tools for inventory, shipping, and digital downloads. It’s best for small to mid-sized businesses focused on branding and simplicity. 

Pros: Beautiful templates, all-in-one platform  Cons: Limited third-party integrations 

7. OpenCart 

Budget-friendly open-source option.  OpenCart is a free, open-source platform ideal for developers and small businesses looking to create a custom store without ongoing fees. It’s lightweight, flexible, and supports extensions. 

Pros: Free to use, wide community support  Cons: Requires technical knowledge, limited customer support 

8. Presta Shop 

Flexible and multilingual.  Another open-source platform, PrestaShop is particularly strong in multilingual and international selling. It’s free and customizable, with thousands of add-ons available. 

Pros: International focus, highly customizable  Cons: Add-ons can be expensive, needs technical setup 

9. Salesforce Commerce Cloud 

Enterprise-level power with AI-driven personalization.  Salesforce Commerce Cloud is geared toward enterprise brands seeking advanced CRM and AI integration. It offers excellent customer journey tools and omnichannel capabilities. 

Pros: Built-in AI, great for personalization and automation  Cons: Expensive, complex setup 

10. Shift4Shop (formerly 3dcart) 

Feature-rich and affordable.  Shift4Shop offers a solid balance of functionality and cost, especially for US-based businesses. It includes built-in SEO tools, no transaction fees, and good customization. 

Pros: Affordable, lots of features out of the box  Cons: UI can feel outdated, limited design templates 

Choosing the Right Platform 

With so many options, the right choice depends on your specific needs: 

Are you a beginner with a tight timeline? Try Shopify or Wix. 

Need full control and content focus? WooCommerce might be best. 

Running a large-scale operation? Magento or Salesforce could be ideal. 

Also, don’t forget the importance of mobile in 2025. Customers are shopping more via their smartphones than ever, so use a eCommerce Cost Calculator to estimate what a branded shopping app would add to your bottom line and user experience. 

Book an Appointment with Our E-Commerce Experts! 

Still not sure which platform suits your goals? Our team can help you assess your requirements, compare features in-depth, and design a roadmap that aligns with your business objectives.    Book an Appointment today for a personalized consultation! 

Final Thoughts 

Selecting the best e-commerce platform is more than a technical decision — it’s a strategic investment in your business’s future. Whether you need quick deployment or deep customization, the tools are out there to support your growth in 2025. For businesses with unique needs, investing in custom e-commerce solutions could be the key to standing out in a competitive digital marketplace. 

[differenttimemachinecrusade]

Customer Experience Analytics Market Report 2032: Size, Share, Scope, Analysis, and Growth Overview

The Customer Experience Analytics Market was valued at USD 12.43 billion in 2023 and is expected to reach USD 42.29 billion by 2032, growing at a CAGR of 14.61% over the forecast period 2024-2032.

customer experience (CX) as a key differentiator, leading to a surge in demand for customer experience analytics. These analytics tools help organizations gather, interpret, and act upon customer data to enhance satisfaction, retention, and overall engagement. As companies embrace digital transformation, the ability to capture insights across multiple customer touchpoints—from social media and mobile apps to contact centers and websites—has become essential for gaining a competitive edge.

Customer Experience Analytics Market Size, Share, Scope, Analysis, Forecast, Growth, and Industry Report 2032 reveals that the market is experiencing robust growth due to the rising need for personalized customer interactions, real-time feedback systems, and performance measurement tools. Organizations across industries, including retail, banking, healthcare, telecom, and e-commerce, are turning to advanced analytics platforms powered by AI, machine learning, and natural language processing to better understand customer sentiment, preferences, and behaviors.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5507 

Market Keyplayers:

Alteryx (Alteryx Designer, Alteryx Server)

SAS (SAS Viya, SAS Customer Intelligence)

Qlik (Qlik Sense, QlikView)

Splunk (Splunk Enterprise, Splunk Cloud)

Teradata (Teradata Vantage, Teradata IntelliCloud)

MicroStrategy (MicroStrategy Analytics, MicroStrategy Cloud)

Domo (Domo Business Cloud, Domo Data Science)

Sisense (Sisense Fusion, Sisense for Cloud Data Teams)

ThoughtSpot (ThoughtSpot Analytics, ThoughtSpot Cloud)

Tableau (Tableau Desktop, Tableau Server)

Microsoft Power BI (Power BI Desktop, Power BI Pro)

Salesforce (Salesforce Service Cloud, Salesforce Marketing Cloud)

Zendesk (Zendesk Support, Zendesk Chat)

HubSpot (HubSpot Service Hub, HubSpot Marketing Hub)

Freshworks (Freshdesk, Freshchat)

Zoho (Zoho Analytics, Zoho CRM)

Oracle (Oracle CX Cloud, Oracle Service Cloud)

Adobe (Adobe Experience Cloud, Adobe Analytics)

IBM (IBM Watson Analytics, IBM Customer Experience Analytics)

SAP (SAP Customer Experience, SAP Analytics Cloud)

Trends

Several trends are shaping the customer experience analytics market, reflecting a broader shift toward digital-first engagement and intelligent automation.

AI and Machine Learning Integration: The use of AI-powered analytics is becoming mainstream, enabling predictive modeling, customer segmentation, and automated insights that help businesses tailor experiences to individual users.

Omnichannel Experience Monitoring: Companies are moving toward a unified view of customer interactions across channels. Tools that consolidate data from email, chat, phone calls, and in-person interactions into a single dashboard are gaining traction.

Sentiment and Emotion Analysis: Advanced text and speech analytics can now detect not just what customers say, but how they feel, giving brands deeper insights into emotional drivers behind customer behavior.

Cloud-Based Solutions: The adoption of cloud-based platforms is rising due to their scalability, lower operational costs, and ability to deliver insights in real-time. This has become particularly important in remote and hybrid work environments.

Data Privacy and Compliance: With global regulations such as GDPR and CCPA, analytics platforms are focusing on privacy-first designs that ensure data is collected and used responsibly, building trust with customers.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5507 

Market Segmentation:

By Touch Point

Company Website

Branch

Call Center

Web

By Solution

Data Management

Social Media Analytical Tools

Voice Of Customer

Web Analytical Tools

Dashboard & Reporting

By Industry Vertical

BFSI

Healthcare

Manufacturing

IT Communication Service Provider

Travel & Hospitality

Market Analysis

North America currently holds the largest market share due to its early adoption of advanced digital technologies and a strong presence of leading analytics solution providers. Europe and Asia-Pacific are also witnessing significant growth, driven by increasing digital penetration, rising customer expectations, and expanding e-commerce sectors.

Key players in the market are focusing on strategic partnerships, acquisitions, and product innovations to enhance their analytics capabilities. Investments in AI and big data infrastructure are enabling companies to scale their analytics functions and improve decision-making. The market is highly competitive, with companies like Adobe, Salesforce, IBM, Oracle, and NICE Ltd. playing dominant roles by offering comprehensive CX analytics suites.

Despite the strong growth trajectory, challenges such as data integration complexities, skills shortages, and the need for real-time analysis across large data volumes remain. However, organizations are increasingly overcoming these hurdles through automation, cloud infrastructure, and vendor support.

Future Prospects

The future of the customer experience analytics market looks promising, with ongoing advancements in technology expected to unlock even deeper customer insights.

Hyper-Personalization at Scale: As analytics tools become more sophisticated, businesses will be able to deliver hyper-personalized experiences across customer journeys, significantly improving engagement and conversion rates.

Real-Time Decision Engines: Integration with CRM and marketing automation platforms will allow for on-the-fly adjustments to customer interactions based on evolving behavior and context.

Voice of the Customer (VoC) Expansion: VoC programs will evolve with more emphasis on integrating structured and unstructured data, providing a holistic view of customer sentiment across all touchpoints.

Self-Service and Democratization of Analytics: As platforms become more user-friendly, non-technical teams like marketing, customer service, and product development will be able to access and act on analytics insights directly, speeding up the response cycle.

Growing Use of Predictive and Prescriptive Analytics: Moving beyond descriptive metrics, companies will increasingly rely on analytics tools that not only tell them what happened and why, but also what to do next.

Access Complete Report: https://www.snsinsider.com/reports/customer-experience-analytics-market-5507 

Conclusion

The customer experience analytics market is entering a new phase of innovation and adoption, driven by the need for data-driven decision-making and elevated customer expectations. As businesses continue to prioritize customer-centric strategies, investment in advanced analytics solutions will be critical to delivering personalized, meaningful, and seamless experiences.

With the integration of AI, cloud computing, and real-time data processing, the market is set to evolve rapidly over the next decade. Companies that embrace these tools and align them with their broader CX goals will not only enhance customer loyalty but also unlock substantial business value in an increasingly competitive digital landscape.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[bloggingexpert8]

Revolutionizing Digital Transformation with Cutting-Edge Solutions

Introduction

In today’s fast-paced digital landscape, businesses must leverage technology to stay ahead of the competition. From app development to cloud computing, organizations require seamless and scalable solutions to enhance efficiency and drive growth. Whether it's managing customer relationships, developing AI-powered products, optimizing e-commerce platforms, or engineering data for insightful decision-making, companies need robust digital solutions.

One name that stands out in this domain is Edgenroots, a leader in app development, Customer Relationship Management (CRM), data engineering, AI products development, e-commerce solutions, and cloud computing. Their expertise in these areas ensures businesses can scale operations, enhance customer experiences, and improve overall productivity. In this article, we’ll explore each of these crucial tech solutions and how they shape the future of digital business.

App Development: The Foundation of Digital Business

Mobile and web applications are at the heart of modern digital strategies. A well-developed application enhances user engagement, streamlines operations, and opens new revenue channels. App development involves designing, coding, and deploying high-performance applications that cater to both consumer and enterprise needs.

Why Invest in App Development?

Enhanced Customer Engagement – A mobile app provides businesses with a direct communication channel with customers, offering real-time updates, notifications, and promotions.

Increased Revenue – Companies can monetize apps through in-app purchases, subscriptions, or advertising.

Brand Recognition – A user-friendly and visually appealing app improves brand recall and customer loyalty.

Improved Business Operations – Apps streamline internal processes, reducing manual work and improving efficiency.

At Edgenroots, expert developers craft custom mobile applications tailored to business needs, ensuring seamless performance, intuitive design, and high security. Whether it’s Android, iOS, or cross-platform app development, businesses can trust Edgenroots to deliver robust solutions.

Customer Relationship Management (CRM): The Key to Customer Retention

In an era where customer experience determines business success, a robust Customer Relationship Management (CRM) system is non-negotiable. CRM solutions enable companies to manage interactions with customers, streamline processes, and improve profitability.

Benefits of CRM Solutions

Data-Driven Insights – CRM systems collect and analyze customer data, providing actionable insights for personalized marketing.

Enhanced Customer Satisfaction – By tracking interactions, businesses can address concerns proactively and improve support.

Automated Workflows – CRM automates follow-ups, reminders, and task assignments, reducing manual effort.

Sales Optimization – It helps in identifying high-value customers, tracking leads, and closing deals efficiently.

Edgenroots specializes in CRM solutions that integrate seamlessly with existing business processes. Whether it’s custom-built CRMs, Salesforce, or HubSpot implementations, they ensure businesses maximize customer engagement and revenue.

Data Engineering: Turning Raw Data into Actionable Insights

Data is the lifeblood of modern businesses, but raw data is of little use without proper structuring, processing, and analysis. Data engineering ensures that businesses collect, store, and transform data into meaningful insights for strategic decision-making.

Why Data Engineering Matters

Efficient Data Management – Properly structured data reduces storage costs and improves accessibility.

Scalability – As businesses grow, scalable data infrastructure ensures seamless operations.

Data Security – Advanced encryption and access controls protect sensitive business information.

AI & Analytics Readiness – Clean and structured data is crucial for machine learning and AI applications.

Edgenroots’ data engineering solutions involve designing scalable data pipelines, implementing ETL (Extract, Transform, Load) processes, and optimizing data storage for better business intelligence. Companies that leverage these solutions gain a competitive edge in data-driven decision-making.

AI Product Development: Shaping the Future with Intelligent Solutions

The AI revolution is transforming industries, automating processes, and enabling hyper-personalized experiences. Businesses that harness AI-driven products gain efficiency, cost savings, and innovation.

Key Applications of AI Product Development

Chatbots & Virtual Assistants – AI-powered chatbots enhance customer support and engagement.

Predictive Analytics – AI-driven insights help businesses anticipate trends and make data-backed decisions.

Automation – AI streamlines operations, reducing human intervention and increasing accuracy.

Image & Speech Recognition – AI is revolutionizing security, healthcare, and entertainment industries.

Edgenroots leads in AI product development, crafting intelligent solutions that drive automation, improve user experience, and transform business processes.

E-commerce Solutions: Driving Digital Sales & Growth

E-commerce is no longer an option but a necessity for businesses. A well-optimized e-commerce solution enhances the shopping experience, increases conversions, and boosts revenue.

Features of a Robust E-commerce Solution

Seamless User Experience – A well-designed platform ensures easy navigation and faster checkouts.

Mobile Responsiveness – Mobile-friendly stores cater to the growing number of smartphone shoppers.

Secure Payment Gateways – SSL encryption and multiple payment options enhance trust.

Inventory & Order Management – Automated tracking systems improve efficiency and reduce errors.

Edgenroots provides end-to-end e-commerce solutions, from platform development (Shopify, WooCommerce, Magento) to marketing automation, ensuring businesses succeed in the online marketplace.

Cloud Computing: The Backbone of Scalable Digital Solutions

The shift to the cloud is accelerating, with businesses opting for cloud computing solutions to enhance flexibility, scalability, and cost efficiency.

Advantages of Cloud Computing

Scalability – Businesses can scale resources up or down based on demand.

Cost Efficiency – No need for expensive hardware; pay only for what you use.

Security & Compliance – Cloud providers offer advanced security protocols and compliance certifications.

Remote Access & Collaboration – Cloud solutions enable teams to work from anywhere seamlessly.

Edgenroots offers robust cloud computing solutions, including cloud migration, SaaS development, DevOps, and security optimization, ensuring businesses operate efficiently in a digital-first world.

FAQs

1. Why is app development important for businesses? App development enhances customer engagement, streamlines operations, and generates new revenue streams by offering seamless digital experiences.

2. How does CRM benefit a business? CRM systems improve customer interactions, automate sales and marketing processes, and provide valuable insights into consumer behavior.

3. What is the role of data engineering? Data engineering structures and processes raw data, making it useful for analytics, AI applications, and strategic decision-making.

4. How does AI impact product development? AI-driven products improve efficiency, automate repetitive tasks, and provide predictive insights for better business outcomes.

5. What are the key features of a good e-commerce platform? A seamless user experience, mobile responsiveness, secure payments, and efficient inventory management are essential features of a successful e-commerce platform.

6. How does cloud computing benefit businesses? Cloud computing enhances scalability, reduces costs, improves security, and enables remote collaboration.

7. What industries benefit the most from AI solutions? Industries like healthcare, finance, retail, and manufacturing benefit significantly from AI-driven automation and insights.

8. How can Edgenroots help businesses with digital transformation? Edgenroots provides expert solutions in app development, CRM, data engineering, AI, e-commerce, and cloud computing, ensuring businesses thrive in the digital era.

Conclusion

In a rapidly evolving digital world, businesses need reliable technology partners to stay ahead. Edgenroots delivers top-notch app development, CRM, data engineering, AI product development, e-commerce solutions, and cloud computing services, empowering businesses to innovate and grow. Now is the time to invest in future-proof digital solutions. Are you ready to take your business to the next level?

[demodazzle02]

How Canva Makes Demo Automation Easy with Visuals

In the fast-paced digital landscape, businesses are always looking for ways to enhance their product demonstrations and improve user engagement. One of the most effective ways to achieve this is through visual storytelling, and Canva has emerged as a powerful tool in this space. Canva simplifies demo automation by providing visually appealing templates, easy-to-use design tools, and seamless integration with various platforms. If you're looking for a way to streamline your demo presentations, Canva makes it easier than ever. Learn more about how Canva enhances demo automation in our detailed article: How Canva Makes Demo Automation Easy with Visuals.

Why Visuals Matter in Demo Automation

Demo automation is all about creating engaging and interactive product experiences without requiring manual intervention each time. Adding high-quality visuals to your demos can:

Improve audience retention

Simplify complex product features

Enhance brand credibility

Make demos more shareable on social media and marketing channels

Canva provides a user-friendly and cost-effective solution to create professional-quality visuals for automated demos.

Features of Canva That Simplify Demo Automation

1. Drag-and-Drop Interface

Canva’s intuitive drag-and-drop editor allows users to create professional visuals without any prior design skills. Whether you need a demo slide, a product explainer, or a social media graphic, you can easily customize Canva’s templates.

2. Pre-Made Templates for Demos

Canva offers a wide variety of templates specifically designed for business presentations, webinars, and product demonstrations. You can simply choose a template, tweak it to match your branding, and integrate it into your demo automation software.

3. Collaboration and Cloud Storage

With Canva’s cloud-based platform, teams can collaborate on demo designs in real time. This feature is especially useful for SaaS companies that need to keep their product demos up-to-date with new features and updates.

4. Seamless Export and Integration

Canva supports multiple export formats, making it easy to integrate visuals into demo automation platforms like DemoDazzle, HubSpot, or Salesforce. Whether you need images, PDFs, or videos, Canva makes exporting a breeze.

5. Brand Kit for Consistency

For businesses that require consistent branding across all demos, Canva’s Brand Kit feature allows you to set predefined color schemes, fonts, and logos, ensuring a uniform look across all automated demos.

How to Use Canva for Demo Automation

Step 1: Choose a Template

Select a presentation or video template that aligns with your demo objectives.

Step 2: Customize the Design

Add relevant product images, text descriptions, animations, and branding elements.

Step 3: Export and Automate

Once your demo visuals are ready, export them in a compatible format and integrate them into your demo automation software.

Conclusion

Canva has revolutionized the way businesses create and automate product demos by making visual design easy, accessible, and effective. Whether you're a SaaS company or an e-commerce brand, leveraging Canva’s powerful features can significantly enhance your demo automation strategy.

To dive deeper into how Canva simplifies demo automation with visuals, check out our detailed guide: How Canva Makes Demo Automation Easy with Visuals.

[spritlesoftware1]

How to Choose the Best AI Development Company: A Complete 2025 Guide

Introduction

Artificial Intelligence (AI) is revolutionizing industries by enabling businesses to automate operations, enhance customer experiences, and drive data-driven decision-making. From AI-powered chatbots and predictive analytics to machine learning automation, organizations worldwide are investing in AI development services to stay competitive.

However, selecting the right AI development company is crucial to ensure that AI solutions are tailored, scalable, and seamlessly integrated into business processes. With numerous AI providers offering a variety of services, it’s essential to understand how to evaluate AI development services and choose the right AI partner for your business.

This comprehensive guide outlines key factors to consider, the services to look for, and essential questions to ask before hiring an AI development company.

1. Why Businesses Need AI Development Services

How AI Development is Transforming Businesses

Organizations across industries are leveraging AI development to:

✔ Automate routine tasks and improve operational efficiency ✔ Enhance customer interactions through AI-driven chatbots ✔ Leverage AI analytics for predictive insights and better decision-making ✔ Strengthen security with AI-powered fraud detection and risk assessment ✔ Optimize business workflows, marketing, and logistics

Why Work with an AI Development Company?

Instead of building an in-house AI team, many businesses rely on AI development services for:

✔ Access to top AI experts and state-of-the-art technology ✔ Lower costs compared to in-house AI teams ✔ Faster deployment of AI-driven solutions ✔ Seamless integration of AI with existing business systems ✔ Ongoing support, AI optimization, and model updates

By partnering with a trusted AI development company, businesses can maximize AI implementation success while minimizing risks and costs.

2. Key Factors to Consider When Choosing an AI Development Company

Selecting a reliable AI development company requires evaluating multiple aspects. Here’s what to consider:

a) AI Expertise and Technology Stack

Ensure your chosen AI development company has expertise in:

✔ Machine Learning (ML) & Deep Learning ✔ Natural Language Processing (NLP) & Conversational AI ✔ Computer Vision & Image Recognition ✔ Big Data Processing & Predictive Analytics ✔ Robotic Process Automation (RPA) & AI-powered Automation

📌 Example: If you need an AI chatbot for customer service, choose an AI firm specializing in NLP and virtual assistants.

b) Industry-Specific AI Experience

Different industries require customized AI solutions. Ensure your AI development services provider has experience in your sector:

✔ Healthcare – AI for diagnostics, patient data analysis, and telemedicine ✔ Finance – AI-powered fraud detection, credit risk modeling, and automated trading ✔ Retail & E-commerce – AI chatbots, personalized recommendations, and supply chain optimization ✔ Manufacturing – AI-driven predictive maintenance and quality control ✔ Marketing & Advertising – AI-powered ad targeting, customer segmentation, and sentiment analysis

📌 Example: A banking AI solution should be developed by an AI provider with experience in AI fraud detection and compliance.

c) Customization and Scalability

A reputable AI development company should offer:

✔ Tailor-made AI models that fit your business objectives ✔ Scalability for future AI expansion ✔ Flexibility to integrate emerging AI innovations

📌 Example: If your business is implementing an AI-driven recommendation system, ensure it can scale as your customer base grows.

d) AI Integration with Existing Systems

Your AI solution should be compatible with:

✔ ERP & CRM systems (Salesforce, SAP, HubSpot, etc.) ✔ Cloud platforms (AWS, Google Cloud, Microsoft Azure) ✔ Business intelligence tools (Power BI, Tableau, Looker)

📌 Example: AI-driven predictive analytics should integrate with existing customer management and sales forecasting tools.

e) AI Security, Compliance, and Ethical AI

Your AI development services provider must comply with:

✔ GDPR for AI-driven data privacy ✔ HIPAA for AI-powered healthcare applications ✔ ISO/IEC standards for AI security and ethical AI guidelines

📌 Example: A healthcare AI application should be compliant with HIPAA regulations to ensure secure patient data handling.

f) AI Maintenance & Post-Deployment Support

AI solutions require ongoing improvements. Your AI development company should offer:

✔ AI model monitoring and retraining for accuracy ✔ Regular AI updates for enhanced performance ✔ 24/7 AI support and troubleshooting

📌 Example: AI chatbots require continuous NLP model training to improve conversational accuracy and intent recognition.

3. AI Development Services Offered by Top AI Companies

A leading AI development company should offer:

✔ AI Consulting & Strategy – AI transformation planning for businesses ✔ Custom AI Model Development – AI solutions tailored to industry needs ✔ AI Chatbot Development – Conversational AI for customer interactions ✔ AI-Powered Predictive Analytics – AI-driven insights for business decision-making ✔ AI System Integration – AI deployment into enterprise ecosystems ✔ AI Security & Risk Mitigation – Ensuring compliance and secure AI practices

4. Questions to Ask Before Hiring an AI Development Company

Before finalizing your AI development services provider, ask:

1️⃣ What AI technologies and tools do you specialize in? 2️⃣ Can you share examples of AI solutions built for businesses like mine? 3️⃣ How do you ensure AI security, compliance, and ethical AI use? 4️⃣ Will the AI solution be tailored to my company’s specific needs? 5️⃣ What post-launch support do you provide for AI solutions?

These questions will help assess the capabilities, reliability, and expertise of the AI development company.

5. The Future of AI Development in 2025 and Beyond

As AI technology advances, businesses should be aware of emerging AI trends, such as:

📌 Generative AI & Large Language Models – AI-driven automation for content creation and data synthesis 📌 AI-Powered Business Process Automation – AI-driven efficiencies in HR, finance, and operations 📌 Edge AI & Real-Time AI Decision-Making – AI computing at the device level without cloud dependency 📌 AI & Blockchain Integration – AI-enhanced cybersecurity and fraud prevention 📌 Ethical AI & Transparent AI Governance – AI accountability and regulatory compliance

By partnering with a forward-thinking AI development company, businesses can integrate AI solutions that align with future industry innovations.

6. Frequently Asked Questions (FAQs)

1. What factors should I consider when choosing an AI development company?

Look for AI expertise, industry-specific experience, scalability, security compliance, and ongoing AI support before making a decision.

2. How much do AI development services cost?

Pricing depends on AI complexity, model training, and system integration. AI projects start at $10,000-$50,000, while advanced AI solutions exceed $500,000.

3. Can AI solutions integrate with my current business infrastructure?

Yes, AI seamlessly integrates with ERP, CRM, cloud, and analytics tools to enhance automation and efficiency.

4. How long does AI development take?

AI project timelines vary. AI chatbots take 3-6 months, while full-scale AI automation can take 6-12 months or more.

5. What industries benefit most from AI development services?

Industries such as finance, healthcare, e-commerce, manufacturing, and cybersecurity benefit the most from AI-driven insights, automation, and decision-making.

Conclusion

Selecting the right AI development company is crucial for successful AI adoption. A trusted AI development services provider should offer custom AI solutions, deep industry expertise, security compliance, and ongoing technical support.

🚀 Looking to implement AI? Partner with a top-tier AI development company and unlock the full potential of artificial intelligence today!

[questionplaza]

The Future of AI in CRM: How Salesforce Einstein is Changing the Game

CRM has evolved from a basic contact management tool to an intelligent system that drives sales and automates workflows. Yet, many businesses struggle with data overload, slow sales processes, and impersonal customer interactions. This is where Salesforce Einstein AI steps in. By integrating AI in CRM, it helps businesses automate tasks, improve decision-making, and deliver personalized customer experiences.

In this article, we will explore how Salesforce Einstein AI is transforming CRM by bringing AI-driven sales automation and smart CRM solutions into everyday business operations. 

What is Salesforce Einstein?

Salesforce Einstein AI is an advanced AI-powered platform that integrates machine learning (ML), natural language processing (NLP), and predictive analytics into CRM workflows. Unlike traditional AI tools, Einstein is built directly into Salesforce, making it accessible to businesses without requiring technical expertise.

With Einstein, companies can analyze large volumes of customer data, predict outcomes, automate routine tasks, and personalize customer interactions. Whether in Sales Cloud, Service Cloud, Marketing Cloud, or Commerce Cloud, Einstein enhances every aspect of CRM with intelligent automation.

Key Features of Salesforce Einstein AI

Let’s look at the features of Salesforce Einstein AI and how these features enhance sales, automate customer interactions, and improve decision-making.

AI-Driven Lead and Opportunity Scoring

It is often a hassle for sales teams to determine which leads are important. Lead and Opportunity Scoring from Einstein uses AI to assess historical sales patterns as well as client activity in order to give out scores that identify the best prospects. This allows sales teams to concentrate their efforts where they matter most, which means they are more likely to close deals quicker.

AI-Powered Sales and Customer Service Automation

Regardless of the target area, sales or customer service, mundane tasks lead to a drop in productivity. Bots from Einstein are able to resolve basic inquiries from customers, follow up on orders, and support them instantly, relieving the burden on human agents. For sales personnel, Einstein takes over to perform follow-ups, respond to emails, and schedule meetings so that nothing gets ignored or missed.

Predictive Analytics with Einstein Discovery

Businesses sit on huge amounts of data but often struggle to turn it into actionable insights. Einstein Discovery digs through data, finds patterns, and delivers intelligent recommendations to improve decision-making. Whether predicting customer behavior or optimizing sales strategies, it helps businesses stay ahead by making data-driven choices.

How Businesses Benefit from AI in CRM?

The integration of AI into CRM is not just a futuristic concept, it is already delivering measurable results. Here’s how businesses benefit:

Faster Sales Cycles

One of the biggest struggles for sales teams is figuring out which leads are actually worth pursuing. AI changes that by analyzing past deals, customer behavior, and engagement history to highlight the most promising prospects. Instead of wasting time on cold leads, sales teams can focus on high-value opportunities, closing deals faster and more efficiently.

Hyper-Personalized Customer Interactions

Today’s customers expect more than generic emails and scripted responses. AI makes personalization effortless by analyzing what a customer has browsed, purchased, or inquired about before. This means businesses can send targeted offers, suggest relevant products, and even time their outreach perfectly, making interactions feel more natural and tailored.

Automation & Efficiency Gains

Repetitive tasks eat up a huge chunk of time for both sales and customer service teams. AI takes over the routine work, like answering common queries, following up on leads, and scheduling tasks, so employees can focus on what actually requires human attention. This not only improves productivity but also ensures no opportunity slips through the cracks.

Overcoming AI Adoption Challenges in CRM

Some businesses hesitate to adopt AI, worrying about complexity, integration, and data security. Here’s how Salesforce Einstein makes AI adoption easy and hassle-free:

No Technical Expertise Required

You don’t need to be a data scientist to use Einstein. Its AI models are pre-built into Salesforce, so businesses can start leveraging AI insights without complex configurations.

Seamless Integration

AI should work with your existing processes, not disrupt them. Einstein integrates smoothly within Salesforce, allowing teams to access AI-driven insights without changing their workflows.

Robust Data Security

With customer data at stake, security is a top concern. Salesforce ensures that Einstein follows strict data protection protocols, keeping business and customer information secure.

Read More: https://www.manras.com/future-of-ai-in-crm/

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How Cloud Computing Enables Remote Work and Productivity

The workplace has drastically changed recently, with remote work becoming the norm across various sectors. This shift in work is thanks to the advances of cloud computing. By allowing enterprises to access on-demand databases, applications, and collaboration tools, cloud computing will enable enterprises to work seamlessly regardless of their employees' locations.

If you're looking to establish a career in the ever-expanding field of cloud computing, registering for a course in Bangalore could empower you with the knowledge and skills needed. Learn how cloud computing plays an essential part in remote working and increases efficiency, and feel confident in your ability to navigate this dynamic field.

The Role of Cloud Computing in Remote Work

1. Anywhere, Anytime Access to Data

One significant issue remote workers face is accessing essential documents and apps from various locations. Cloud computing solves this problem by allowing central storage via platforms such as Google Drive, Dropbox, and Microsoft OneDrive. Workers can log in at any time, on any device, and access all the information they require for their work.

A marketing company with staff members scattered across several cities may collaborate on a single campaign at any time by using cloud-based tools such as Trello and Asana to manage projects. This eliminates the stress of sending files in and out, which can lead to delays and misunderstandings.

2. Seamless Collaboration and Communication

A productive collaboration system is vital for remote teams. Cloud-based applications help facilitate collaboration more than ever. Platforms such as Slack, Zoom, and Microsoft Teams allow employees to communicate instantly, conduct virtual meetings, and share documents easily.

Software developers use GitHub, a cloud-based service, to create, review, edit, and combine modifications to code. It allows developers to collaborate on the same task at the same time, regardless of whether they're in different time zones.

3. Enhanced Security and Data Protection

Many companies hesitate to use remote working because of security fears. Cloud computing services, however, provide robust security options, such as data encryption, authentication with multiple factors, and automatic backups. These options protect business-sensitive information from hackers, giving you a sense of reassurance and peace of mind.

Financial institutions, for instance, use cloud-based security measures to safeguard customers' banking data. A cloud computing certificate at Bangalore will help IT experts understand how to apply these security measures efficiently within their organization.

4. Scalability and Cost-Effectiveness

Cloud computing lets companies expand their resources or scale them down according to need. Instead of investing a large amount in IT infrastructure, companies can sign up for cloud services and pay for only the amount they use. This is especially beneficial to entrepreneurs and businesses with tight budgets.

For instance, a growing e-commerce business could use cloud services such as AWS or Azure to cope with seasonal surges of traffic and ensure that its site is always responsive, even during high-sales times. Cloud computing is flexible, making it an essential tool for businesses of any size. It can help you adapt to the ever-changing demands of the digital market.

How Cloud Computing Enhances Productivity

5. Automation and Workflow Optimization

Cloud-based apps automate routine jobs, freeing workers from time-consuming tasks. CRM software, such as Salesforce, streamlines customer interaction, and HR software, such as Workday, helps streamline employee pay and management.

An HR department working remotely could use cloud-based recruiting platforms to track applications, schedule interviews, and onboard new employees without delay. Professionals who attend an online cloud computing training course in Bangalore usually gain knowledge of these automation tools, which are, therefore, valuable for any company.

6. Business Continuity and Disaster Recovery

Unexpected incidents, such as power interruptions, cyber-attacks, or hardware problems, can disrupt processes. Cloud computing provides business continuity by storing important data across multiple secure sites. In the event of a server failure, another one takes over to prevent data loss.

For example, during the COVID-19 outbreak, several companies that had already adopted cloud computing could easily transition to remote working. Cloud backups and remote access features ensured that employees worked without interruptions.

7. Rapider decision-making using real-time insights

Cloud computing enables real-time data analysis, helping businesses make informed decisions quickly. Tools such as Google Analytics and Microsoft Power BI give insight into customer behaviors, sales trends, and operational efficiency.

A website retailer can track consumer preferences in real time and adjust its marketing strategies accordingly. The best professionals trained by the top cloud computing center in Bangalore are taught how to utilize cloud-based tools for data analytics to boost business growth.

Future of Remote Work: Cloud Computing Future of Remote Work with Cloud Computing

While businesses continue to adopt hybrid and remote work models, the need for cloud-based professionals is increasing. Employers require highly skilled people capable of managing cloud infrastructures, increasing security, and improving cloud-based services.

The cloud computing course in Bangalore is an excellent method for gaining experience in the field. If you're an IT professional or someone who is looking to change careers and become a cloud computing expert, getting a certification in Bangalore gives you the advantage in the market to succeed in the digital age.

Final Thoughts

Cloud computing has transformed remote work by making it easier, more efficient, and safer. From seamless collaboration to improved productivity, the advantages are undisputed. When companies continue investing in cloud technology, experts skilled in cloud technology are in great demand.

Suppose you're thinking about the possibility of a career in this area. In that case, choosing the top cloud computing institution located in Bangalore can help you gain real-world experience and industry-recognized accreditations. Future work opportunities are cloud-driven. Are you willing to take part in it?