#AI and automation solutions

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5 Ways Nopcommerce Will Help You Get More Business

In 1994, the first item ordered online at Amazon was a book. This $12.48 transaction made history and signaled the world that the “internet is open” for online transactions. Today, the e-commerce industry has grown into a trillion-dollar industry.

Data from Statista shows that e-commerce sales worldwide hit a staggering $4.3 trillion in 2021, and the number is growing by the day. With the shift towards digital retail moving at the speed of light, many companies plan to go online.

The common dilemma that many retailers face is which e-commerce platform to choose when starting their venture.

One platform—nopCommerce, stands tall above the competition, offering rich and transformational functionalities to small and medium-sized stores. We’ll delve into the crux of nopCommerce and explain why it’s the best platform for your business.

What Is nopCommerce? nopCommerce is a free and open-source ecommerce solution for all businesses. It powers tens of thousands of online stores worldwide, including reputable brands like Volvo, Reebok, North Face, and Hyatt Hotels.

ecommerce solutions The platform offers cutting-edge features and functionalities anyone would expect in a world-class e-commerce platform, including:

Product comparison tools

User reviews

Shipping management

Discount options

Marketing

Mobile access

Data security Unlike other solutions, nopCommerce is based on the ASP.NET framework and Microsoft SQL Server 2012 back-end database.

Since its inception in 2008, nopCommerce has won numerous prestigious awards, including CMScritic’s “Best eCommerce for SMB” award and the Packt Open-Source Award.

Online Business Problems that nopCommerce Solves From scale to sales, online businesses face many challenges at various stages due to primarily choosing an inadequate and inefficient eCommerce development platform. Traditional eCommerce development platforms were focused only on offering essential digital commerce solutions.

Meanwhile, modern platforms ensure customization, integration, scalability, security, and innovation for businesses to cut through competition and continuously improve their bottom line. Let’s evaluate how nopCommerce eliminates those challenges that online businesses face.

Problem: Limited Customization Nowadays, developing eCommerce platforms means selecting a template. Every business requires unique features to stand out in a crowded marketplace. A Salesforce study suggests that 64% of customers expect businesses to provide unique and tailored shopping experiences. When eCommerce development platforms do not offer customization, online businesses suffer due to a lack of trust and reliability.

Solution: nopCommerce Flexibility nopCommerce ensures that developers can modify codes the way they want and build plugins to support their eCommerce solution with unique features that competitors do not have. This open-source flexibility helps businesses craft unique user interfaces and, thereby, unique and tailored customer experiences. Integrating AI and automation solutions with an eCommerce platform becomes a catalyst in giving a brand a unique identity.

Problem: High Operational Costs Running an eCommerce store is expensive until a business reaches a breakeven point. In addition to its own offline and online operations costs, an eCommerce store requires many expensive add-on services. Integrating Cloud or RPA solutions automatically increases the costs. 43% of small business owners avoid going online due to the high costs of digital transformation, says a BigCommerce Study.

Solution: nopCommerce’s Cost-Effective Model The biggest relief for small and medium enterprises is that nopCommerce is a free eCommerce solution development platform that charges no recurring license fees. This self-hosted solution offers multiple in-built plugins to reduce the need to build costly plugins. Moreover, due to customization, businesses can have more control over features and functionalities to reduce the cost of features that come with templates. In many ways, nopCommerce stops eCommerce development costs from rising.

Problem: Poor Mobile Experience Smartphone penetration is an open secret worldwide. According to Statista analysis, mobile commerce is expected to grow to $710 billion by 2025. If an eCommerce store is not mobile-friendly, it won’t attract customers and increase conversions. Businesses that fail to provide a rich and effortless mobile experience will not only struggle against competitors but will struggle for survival.

Solution: Mobile-First Approach nopCommerce empowers eCommerce developers to build responsive user interfaces that fit all screen sizes and resolutions without incurring additional costs. nopCommerce’s mobile-first approach ensures that an eCommerce store maintains design continuity across the platforms. Besides, with mobile-friendliness, businesses can integrate and offer many mobile-only features to optimize conversion ratio through enhanced checkout processes.

Problem: Limited Scalability Imagine if a conversion rate drops by 4% for each additional second of load time. According to these statistics, businesses can’t even run their regular businesses if their eCommerce store is not scalable. Businesses are bound to grow, but their eCommerce store remains stagnant and inefficient in handling the increased traffic load and transactions. Consequently, the system gives up on increasing the load time and crashes during peak periods.

Solution: nopCommerce’s Scalable Architecture nopCommerce is a robust, secure, and scalable architecture that empowers eCommerce developers to build genuinely scalable digital commerce solutions that can house large product catalogs, run multiple stores, have wide category ranges, and handle the increased traffic effortlessly. It supports load balancing and multiple servers to keep the system optimized for additional capabilities to reduce load time, process more data, and maintain uptime during critical hours.

Problem: Inadequate Security Measures eCommerce stores are easy targets for hacking, phishing, and various other cyber threats as they house a lot of customer data and financially sensitive information. A 2023 Cybersecurity Ventures report predicts cybercrime will cost the world $10.5 trillion annually by 2025. Inadequate security apparatus invites maximum data breaches, causing massive financial and reputational losses to eCommerce businesses.

Solution: nopCommerce’s Strong Security Features Cybersecurity is of paramount importance for nopCommerce. In addition to providing quick and adequate security updates, nopCommerce delivers built-in SSL support, data encryption, and multi-layer authentication for safe and secure access. nopCommerce strictly follows PCI DSS requirements to process payments securely. Moreover, the nopCommerce community continuously identifies and updates threat potential and vulnerabilities to quickly resolve cyber threat-related issues. It also has a robust disaster recovery mechanism to protect personal and financial data.

Advantages of Using NopCommerce for Your Project With a plethora of options, it can be challenging for any business owner to determine the best ecommerce solution for their business. Here are the top reasons to choose nopCommerce for your project.

1. It’s an Open-Source Platform NopCommerce is an open-source platform, which means it’s free.

There are no upfront fees, subscription fees, or hidden fees to set it up. Anyone can download the source code and modify it to fit their custom requirements.

There is a common fallacy in the tech world that “free solutions” don’t receive security updates and aren’t backed by support.

But this is not true for nopCommerce. The platform has an active community of supporters and skilled developers who are continually working to maintain its standards and make it faster, safer, and more reliable.

2. It Offers Multi-Store Support The multi-store environment has become the new norm in the ecommerce community.

Retailers are no longer restricting the scope of their businesses to a single storefront. Instead, many are opting for multiple storefronts.

NopCommerce online retailers can set the following features separately per store:

Products per store

Product prices per store

Payments per store

Tax rules per store

Shipment methods per store

Content (newsletter, blogs, news) per store With the multi-store feature, retailers can create a nopCommerce marketplace where small vendors can sell their products separately.

3. Ready for Mobile Commerce (M-Commerce) In an age where mobile phone usage surpasses desktop, a mobile-friendly design is a must-have. Furthermore, the current shift to online shopping fueled by the novel COVID-19 pandemic has caused a surge in mobile commerce.

Experts predict that M-commerce will account for 72.3% of all sales by the end of 2021.

In line with the changing consumer behavior, savvy retailers are leveraging mobile-ready e-commerce platforms to grow sales. The nopCommerce platform offers free, mobile-friendly features that are ready to use out of the box.

In addition, nopCommerce enables store owners to easily create mobile versions of their sites without extra development work or add-ons.

4. Comes with Pre-Built Integrations Another great thing about nopCommerce is that it comes with pre-built integrations.

These integrations can save resources while allowing store owners to launch or revamp their online stores quickly. All nopCommerce integrations come from different nopCommerce developers experienced in building integrations for payments, shipping, etc.

For example, the platform is integrated with more than 50 payment getaways and methods, including PayPal, Alipay, WorldPay, and Stripe.

5. It’s Easy to Scale One of the most significant benefits that users get with nopCommerce is on-demand scalability. NopCommerce can work with cheap Windows hosting solution providers like SmarterASP and enterprise hosting solutions like Azure Cloud.

The Final Thoughts NopCommerce makes a strong case for being the best ecommerce development platform. It’s powerful, secure, and cost-effective. Plus, it comes with a plethora of features and functionalities that are hard to find elsewhere for free.

If you want to build a feature-rich, secure, and scalable e-commerce store, contact us at +1 954-397-0800 for a consultation. We offer a wide range of nopCommerce development services tailored to your unique needs.

[truetechreview]

Top 5 DeepSeek AI Features Powering Industry Innovation

Table of Contents1. The Problem: Why Legacy Tools Can’t Keep Up2. What Makes DeepSeek AI Unique?3. 5 Game-Changing DeepSeek AI Features (with Real Stories)3.1 Adaptive Learning Engine3.2 Real-Time Anomaly Detection3.3 Natural Language Reports3.4 Multi-Cloud Sync3.5 Ethical AI Auditor4. How These Features Solve Everyday Challenges5. Step-by-Step: Getting Started with DeepSeek AI6. FAQs: Your…

[manojbiswas]

AI Chatbot Development Services for Seamless Customer Support

 Our AI-based chatbot development services are designed to provide businesses with an efficient

 and scalable solution to improve customer service and streamline workflows. With advanced features such as 24/7 availability, multilingual support, and seamless integration with CRM, ERP, and other business systems, our chatbot platform ensures a smooth customer experience.

We offer highly customizable chatbots tailored to your brand’s voice, enabling businesses to manage high volumes of interactions, enhance user engagement, and boost sales. Our chatbots also feature in-depth analytics that provides valuable insights into user behavior, helping you continuously optimize your customer service efforts. Whether you’re a small and medium enterprise (SME) or a large business enterprise, our chatbot services can be adapted to meet your specific needs. With support for both audio and video calls, and integration with multiple platforms like AWS, Google Cloud, and Azure, our chatbots are the smart choice for businesses looking to improve customer satisfaction and drive revenue growth.

Contact Information

Email: sales@evontech.com

Phone Numbers: +1 408 454 6110

Location: 410 E Santa Clara Street, Unit #1023, San Jose, CA 95113 

[digitaldeeptech]

Must-Have Programmatic SEO Tools for Superior Rankings

Understanding Programmatic SEO

What is programmatic SEO?

Programmatic SEO uses automated tools and scripts to scale SEO efforts. In contrast to traditional SEO, where huge manual efforts were taken, programmatic SEO extracts data and uses automation for content development, on-page SEO element optimization, and large-scale link building. This is especially effective on large websites with thousands of pages, like e-commerce platforms, travel sites, and news portals.

The Power of SEO Automation

The automation within SEO tends to consume less time, with large content levels needing optimization. Using programmatic tools, therefore, makes it easier to analyze vast volumes of data, identify opportunities, and even make changes within the least period of time available. This thus keeps you ahead in the competitive SEO game and helps drive more organic traffic to your site.

Top Programmatic SEO Tools

1. Screaming Frog SEO Spider

The Screaming Frog is a multipurpose tool that crawls websites to identify SEO issues. Amongst the things it does are everything, from broken links to duplication of content and missing metadata to other on-page SEO problems within your website. Screaming Frog shortens a procedure from thousands of hours of manual work to hours of automated work.

Example: It helped an e-commerce giant fix over 10,000 broken links and increase their organic traffic by as much as 20%.

2. Ahrefs

Ahrefs is an all-in-one SEO tool that helps you understand your website performance, backlinks, and keyword research. The site audit shows technical SEO issues, whereas its keyword research and content explorer tools help one locate new content opportunities.

Example: A travel blog that used Ahrefs for sniffing out high-potential keywords and updating its existing content for those keywords grew search visibility by 30%.

3. SEMrush

SEMrush is the next well-known, full-featured SEO tool with a lot of features related to keyword research, site audit, backlink analysis, and competitor analysis. Its position tracking and content optimization tools are very helpful in programmatic SEO.

Example: A news portal leveraged SEMrush to analyze competitor strategies, thus improving their content and hoisting themselves to the first page of rankings significantly.

4. Google Data Studio

Google Data Studio allows users to build interactive dashboards from a professional and visualized perspective regarding SEO data. It is possible to integrate data from different sources like Google Analytics, Google Search Console, and third-party tools while tracking SEO performance in real-time.

Example: Google Data Studio helped a retailer stay up-to-date on all of their SEO KPIs to drive data-driven decisions that led to a 25% organic traffic improvement.

5. Python

Python, in general, is a very powerful programming language with the ability to program almost all SEO work. You can write a script in Python to scrape data, analyze huge datasets, automate content optimization, and much more.

Example: A marketing agency used Python for thousands of product meta-description automations. This saved the manual time of resources and improved search rank.

The How for Programmatic SEO

Step 1: In-Depth Site Analysis

Before diving into programmatic SEO, one has to conduct a full site audit. Such technical SEO issues, together with on-page optimization gaps and opportunities to earn backlinks, can be found with tools like Screaming Frog, Ahrefs, and SEMrush.

Step 2: Identify High-Impact Opportunities

Use the data collected to figure out the biggest bang-for-buck opportunities. Look at those pages with the potential for quite a high volume of traffic, but which are underperforming regarding the keywords focused on and content gaps that can be filled with new or updated content.

Step 3: Content Automation

This is one of the most vital parts of programmatic SEO. Scripts and tools such as the ones programmed in Python for the generation of content come quite in handy for producing significant, plentiful, and high-quality content in a short amount of time. Ensure no duplication of content, relevance, and optimization for all your target keywords.

Example: An e-commerce website generated unique product descriptions for thousands of its products with a Python script, gaining 15% more organic traffic.

Step 4: Optimize on-page elements

Tools like Screaming Frog and Ahrefs can also be leveraged to find loopholes for optimizing the on-page SEO elements. This includes meta titles, meta descriptions, headings, or even adding alt text for images. Make these changes in as effective a manner as possible.

Step 5: Build High-Quality Backlinks

Link building is one of the most vital components of SEO. Tools to be used in this regard include Ahrefs and SEMrush, which help identify opportunities for backlinks and automate outreach campaigns. Begin to acquire high-quality links from authoritative websites.

Example: A SaaS company automated its link-building outreach using SEMrush, landed some wonderful backlinks from industry-leading blogs, and considerably improved its domain authority. ### Step 6: Monitor and Analyze Performance

Regularly track your SEO performance on Google Data Studio. Analyze your data concerning your programmatic efforts and make data-driven decisions on the refinement of your strategy.

See Programmatic SEO in Action

50% Win in Organic Traffic for an E-Commerce Site

Remarkably, an e-commerce electronics website was undergoing an exercise in setting up programmatic SEO for its product pages with Python scripting to enable unique meta descriptions while fixing technical issues with the help of Screaming Frog. Within just six months, the experience had already driven a 50% rise in organic traffic.

A Travel Blog Boosts Search Visibility by 40%

Ahrefs and SEMrush were used to recognize high-potential keywords and optimize the content on their travel blog. By automating updates in content and link-building activities, it was able to set itself up to achieve 40% increased search visibility and more organic visitors.

User Engagement Improvement on a News Portal

A news portal had the option to use Google Data Studio to make some real-time dashboards to monitor their performance in SEO. Backed by insights from real-time dashboards, this helped them optimize the content strategy, leading to increased user engagement and organic traffic.

Challenges and Solutions in Programmatic SEO

Ensuring Content Quality

Quality may take a hit in the automated process of creating content. Therefore, ensure that your automated scripts can produce unique, high-quality, and relevant content. Make sure to review and fine-tune the content generation process periodically.

Handling Huge Amounts of Data

Dealing with huge amounts of data can become overwhelming. Use data visualization tools such as Google Data Studio to create dashboards that are interactive, easy to make sense of, and result in effective decision-making.

Keeping Current With Algorithm Changes

Search engine algorithms are always in a state of flux. Keep current on all the recent updates and calibrate your programmatic SEO strategies accordingly. Get ahead of the learning curve by following industry blogs, attending webinars, and taking part in SEO forums.

Future of Programmatic SEO

The future of programmatic SEO seems promising, as developing sectors in artificial intelligence and machine learning are taking this space to new heights. Developing AI-driven tools would allow much more sophisticated automation of tasks, thus making things easier and faster for marketers to optimize sites as well.

There are already AI-driven content creation tools that can make the content to be written highly relevant and engaging at scale, multiplying the potential of programmatic SEO.

Conclusion

Programmatic SEO is the next step for any digital marketer willing to scale up efforts in the competitive online landscape. The right tools and techniques put you in a position to automate key SEO tasks, thus optimizing your website for more organic traffic. The same goals can be reached more effectively and efficiently if one applies programmatic SEO to an e-commerce site, a travel blog, or even a news portal.

[technon899]

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[kapittx]

How Can Gen AI Revolutionize Your Accounts Receivable Process?

The advent of Generative AI (Gen AI) heralds a paradigm shift in the landscape of Finance and Accounting (F&A). Much like the introduction of spreadsheets as a product innovation decades ago, finance professionals were quick to embrace and derive immense benefits from the use of spreadsheets. 

Gen AI in Finance and Accounting emerges as a potential game-changer, poised to revolutionize traditional practices within the realm of F&A and invoice payments. However, for this potential to be realized, CFOs must demonstrate openness to experimentation, allowing themselves to explore the tangible impact of Gen AI in Finance and Accounting functions.

Embarking on this journey necessitates a focused exploration of Gen AI’s applicability, particularly within accounts receivable management and invoice payments. By delving into this domain, CFOs can gain firsthand insight into the transformative power of Gen AI in Accounts Receivable. As with any strategic business investment, it is prudent to assess the anticipated returns and the timeframe within which these benefits can be realized.

In essence, embracing Gen AI in accounts receivable and invoice payments represents not only a technological advancement but also a strategic imperative for forward-thinking finance leaders. By embracing innovation and fostering a culture of experimentation, organizations can unlock unprecedented efficiency, agility, and competitive advantage in the ever-evolving landscape of finance and accounting.

How Can Gen AI Revolutionize Your Accounts Receivable Process?

Irrespective of the organization, to ensure optimal efficiency within the accounts receivable function and to explore the potential of integrating Gen AI powered Accounts receivable, it is essential to adopt a strategic approach centered around four key building blocks. These pillars serve as the foundation for effective management and innovation in accounts receivable:

Receivable Antecedents : 

This encompasses the meticulous orchestration of all preliminary tasks necessary to establish a receivable. From the initial engagement with clients to the negotiation of terms, to the careful documentation of agreements, each step in this process demands precision and foresight. Building strong receivables antecedents lays the foundation for smooth transactions, timely invoice payments and ensures a robust financial framework

They include:

Customer Onboarding: Accurate customer data collection, credit checks, and setting credit limits.

Sales Order Processing: Efficiently converting orders into invoices.

Contractual Agreements: Clear terms and conditions regarding payment terms, discounts, and penalties.

Order Fulfillment: Ensuring timely delivery of goods or services.

Timely Invoicing: Generate invoices promptly after goods/services are delivered.

Clear and Accurate Invoices: Ensure clarity, itemization, and correct pricing.

Invoice Presentment and Reminders: 

In the dynamic landscape of revenue management, the presentation of invoices holds paramount importance. It transcends beyond mere documentation; it embodies the essence of your transactions, encapsulating the value exchanged with your clients. Your approach to invoice presentment and invoice payments is characterized by clarity, accuracy, and timeliness. Moreover, one need to recognize the strategic significance of reminders in facilitating prompt invoice payments. Through proactive communication and gentle nudges, you endeavor to uphold transparency, nurture client relationships, and optimize cash flow dynamics.

This step involves creating and delivering invoices to customers:

Multiple Channels: Offer electronic and paper-based invoice delivery to facilitate invoice payments.

Standard Payment Reminder Schedule:

o Set a consistent schedule for sending payment reminders. This helps maintain clarity and predictability for both you and your clients. o Send reminders before the due date to gently prompt clients to pay on time. o Issue reminders close to the actual due date to emphasize the urgency.

• Personalized Reminders:

      o Customize your reminders to suit each client. Address them by name and include relevant details.       o Personalization shows that you value the relationship and encourages prompt payment.

• Politeness and Professionalism:

o Maintain a polite and professional tone in your reminders. o Avoid threatening language or negativity that could harm the client relationship. o Clearly state the purpose of the reminder and the essential details, such as the invoice number, amount due, and due date.

Collaboration :

Collaboration lies at the heart of your approach, both externally with your valued customers and internally among your team members and departments. Externally, effective collaboration involves understanding your clients’ needs, communicating transparently, and working together to resolve any issues or discrepancies promptly. Internally, collaboration ensures alignment across functions, streamlines processes, and maximizes efficiency, ultimately leading to superior customer service and satisfaction.

Effective communication is crucial:

Customer Communication: Regular follow-ups, addressing queries, and resolving disputes.

Internal Coordination: Collaboration between sales, finance, and customer service teams.

Dispute Resolution: Swiftly address any discrepancies.

Payments and receipt management :

Efficient management of invoice payments and receipts is essential for maintaining cash flow and optimizing financial performance. This includes implementing secure and convenient payment channels, diligently tracking incoming payments, and promptly reconciling accounts. By prioritizing invoice payments and receipt management, you can minimize delays, mitigate risks, and ensure the stability and resilience of our financial ecosystem.

Efficient handling of incoming invoice payments:

Payment Channels: Accept various methods (credit cards, bank transfers, etc.).

Reconciliation: Match payments with outstanding invoices.

Cash Application: Apply payments accurately to the correct accounts.

What are the building blocks of Gen AI in Accounts Receivable?

Overall, Gen AI in accounts receivable encompasses a wide range of capabilities making it a versatile tool for various applications across different domains. A few of the core building blocks are –

Data Generation: Gen AI In accounts receivable, can generate synthetic data to augment existing datasets used for training predictive models. For example, it can create simulated customer invoice payments histories, including variations in payment amounts, frequencies, and timing. This synthetic data allows organizations to train their models more comprehensively, improving the accuracy of predictions regarding future payment behavior.

Data Conversion: Gen AI in accounts receivable can facilitate the conversion of data between different formats in the accounts receivable process. For instance, it can automatically convert paper-based invoices into digital formats by extracting relevant information such as invoice numbers, amounts, and due dates using optical character recognition (OCR) technology. This conversion streamlines the invoicing process, reducing manual effort and minimizing errors.

Data Categorization: Gen AI in accounts receivable, can categorize transactions based on various criteria such as invoice payment methods, customer segments, or invoice statuses. For example, it can automatically classify incoming invoice payments as cash, checks, or electronic transfers, allowing finance teams to track payment trends and reconcile accounts more efficiently. By categorizing transactions accurately, Gen AI powered accounts receivable enhances data organization and facilitates deeper insights into receivables management.

Advisor Functionality: Gen AI in accounts receivable serves as an intelligent advisor by providing actionable insights and recommendations based on analyzed data. For example, it can identify patterns of late invoice payments or discrepancies in invoicing that may indicate potential issues with specific customers or billing processes. By alerting finance teams to these anomalies, Gen AI powered accounts receivable enables proactive intervention to mitigate risks and optimize cash flow management.

Overall, Generative AI enhances the efficiency and effectiveness of accounts receivable operations by generating data, facilitating data conversion, categorizing transactions, and providing intelligent advisory support. By leveraging Gen AI capabilities, organizations can streamline receivables management processes, improve decision-making, and ultimately enhance financial performance.

[seoconsultantaustraliaa]

85% of Australian e-commerce content found to be plagiarised

Optidan Published a Report Recently

OptiDan, an Australia-based specialist in AI-driven SEO strategies & Solutions, has recently published a report offering fresh insights into the Australian e-commerce sector. It reveals a striking statistic about content across more than 780 online retailers: 85% of it is plagiarised. This raises severe questions about authenticity and quality in the e-commerce world, with possibly grave implications for both consumers and retailers.

 Coming from the founders of OptiDan, this report illuminates an issue that has largely fallen under the radar: content duplication. The report indicates that suppliers often supply identical product descriptions to several retailers, resulting in a sea of online stores harbouring the same content. This lack of uniqueness unfortunately leads to many sites being pushed down in search engine rankings, due to algorithms detecting the duplication. This results in retailers having to spend more on visibility through paid advertising to compensate.

Key Findings in Analysis

Key findings from OptiDan's research include a worrying lack of originality, with 86% of product pages not even meeting basic word count standards. Moreover, even among those that do feature sufficient word counts, Plagiarism is distressingly widespread. Notably, OptiDan's study presented clear evidence of the detrimental impacts of poor product content on consumer trust and return rates.

 Founder and former retailer JP Tucker notes, "Online retailers anticipate high product ranking by Google and expect sales without investing in necessary, quality content — an essential for both criteria." Research from 2016 by Shotfarm corroborates these findings, suggesting that 40% of customers return online purchases due to poor product content.

 Tucker's industry report reveals that Google usually accepts up to 10% of plagiarism to allow for the use of common terms. Nonetheless, OptiDan's study discovered that over 85% of audited product pages were above this limit. Further, over half of the product pages evidenced plagiarism levels of over 75%.

 "Whilst I knew the problem was there, the high levels produced in the Industry report surprised me," said Tucker, expressing the depth of the issue. He's also noted the manufactured absence of the product title in the product description, a crucial aspect of SEO, in 85% of their audited pages. "Just because it reads well, doesn't mean it indexes well."

 OptiDan has committed itself to transforming content performance for the online retail sector, aiming to make each brand's content work for them, instead of against them. Tucker guarantees the effectiveness of OptiDan's revolutionary approach: "We specialise in transforming E-commerce SEO content within the first month, paving the way for ongoing optimisation and reindexing performance."

 OptiDan has even put a money-back guarantee on its Full Content Optimisation Service for Shopify & Shopify Plus partners. This offer is expected to extend to non-Shopify customers soon. For now, all retailers can utilise a free website audit of their content through OptiDan.

Optidan – Top AI SEO Agency

Optidan is a Trusted AI SEO services Provider Company from Sydney, Australia. Our Services like - Bulk Content Creation SEO, Plagiarism Detection SEO, AI-based SEO, Machine Learning AI, Robotic SEO Automation, and Semantic SEO

We’re not just a service provider; we’re a partner, a collaborator, and a fellow traveller on this exciting digital journey. Together, let’s explore the limitless possibilities and redefine digital success.

Intrigued to learn more? Let’s connect! Schedule a demo call with us and discover how OptiDan can transform your digital performance.

Reference link – Here Click

[teamzapai]

Supercharge Your Business with Microsoft Dynamics: Our Services Tailored for You! Harness the power of Microsoft Dynamics to streamline your operations and drive growth. Our expert consultants deliver comprehensive solutions, customization, and support. Get the full potential of this powerful platform and gain a competitive advantage in your industry.

[certivo]

Navigating PFAS Compliance in 2025: Reduce Risk with Certivo’s AI Platform

Facing strict PFAS compliance deadlines in 2025? Certivo’s AI-powered compliance platform helps manufacturers track evolving global PFAS regulations, assess supply chain risks, and automate documentation. Learn how your business can stay audit-ready and avoid costly penalties with streamlined, proactive compliance strategies. Certivo ensures accurate reporting, faster supplier communication, and regulatory clarity in one place.

[precallai]

How AI Is Revolutionizing Contact Centers in 2025

As contact centers evolve from reactive customer service hubs to proactive experience engines, artificial intelligence (AI) has emerged as the cornerstone of this transformation. In 2025, modern contact center architectures are being redefined through AI-based technologies that streamline operations, enhance customer satisfaction, and drive measurable business outcomes.

This article takes a technical deep dive into the AI-powered components transforming contact centers—from natural language models and intelligent routing to real-time analytics and automation frameworks.

1. AI Architecture in Modern Contact Centers

At the core of today’s AI-based contact centers is a modular, cloud-native architecture. This typically consists of:

NLP and ASR engines (e.g., Google Dialogflow, AWS Lex, OpenAI Whisper)

Real-time data pipelines for event streaming (e.g., Apache Kafka, Amazon Kinesis)

Machine Learning Models for intent classification, sentiment analysis, and next-best-action

RPA (Robotic Process Automation) for back-office task automation

CDP/CRM Integration to access customer profiles and journey data

Omnichannel orchestration layer that ensures consistent CX across chat, voice, email, and social

These components are containerized (via Kubernetes) and deployed via CI/CD pipelines, enabling rapid iteration and scalability.

2. Conversational AI and Natural Language Understanding

The most visible face of AI in contact centers is the conversational interface—delivered via AI-powered voice bots and chatbots.

Key Technologies:

Automatic Speech Recognition (ASR): Converts spoken input to text in real time. Example: OpenAI Whisper, Deepgram, Google Cloud Speech-to-Text.

Natural Language Understanding (NLU): Determines intent and entities from user input. Typically fine-tuned BERT or LLaMA models power these layers.

Dialog Management: Manages context-aware conversations using finite state machines or transformer-based dialog engines.

Natural Language Generation (NLG): Generates dynamic responses based on context. GPT-based models (e.g., GPT-4) are increasingly embedded for open-ended interactions.

Architecture Snapshot:

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CopyEdit

Customer Input (Voice/Text)

       ↓

ASR Engine (if voice)

       ↓

NLU Engine → Intent Classification + Entity Recognition

       ↓

Dialog Manager → Context State

       ↓

NLG Engine → Response Generation

       ↓

Omnichannel Delivery Layer

These AI systems are often deployed on low-latency, edge-compute infrastructure to minimize delay and improve UX.

3. AI-Augmented Agent Assist

AI doesn’t only serve customers—it empowers human agents as well.

Features:

Real-Time Transcription: Streaming STT pipelines provide transcripts as the customer speaks.

Sentiment Analysis: Transformers and CNNs trained on customer service data flag negative sentiment or stress cues.

Contextual Suggestions: Based on historical data, ML models suggest actions or FAQ snippets.

Auto-Summarization: Post-call summaries are generated using abstractive summarization models (e.g., PEGASUS, BART).

Technical Workflow:

Voice input transcribed → parsed by NLP engine

Real-time context is compared with knowledge base (vector similarity via FAISS or Pinecone)

Agent UI receives predictive suggestions via API push

4. Intelligent Call Routing and Queuing

AI-based routing uses predictive analytics and reinforcement learning (RL) to dynamically assign incoming interactions.

Routing Criteria:

Customer intent + sentiment

Agent skill level and availability

Predicted handle time (via regression models)

Customer lifetime value (CLV)

Model Stack:

Intent Detection: Multi-label classifiers (e.g., fine-tuned RoBERTa)

Queue Prediction: Time-series forecasting (e.g., Prophet, LSTM)

RL-based Routing: Models trained via Q-learning or Proximal Policy Optimization (PPO) to optimize wait time vs. resolution rate

5. Knowledge Mining and Retrieval-Augmented Generation (RAG)

Large contact centers manage thousands of documents, SOPs, and product manuals. AI facilitates rapid knowledge access through:

Vector Embedding of documents (e.g., using OpenAI, Cohere, or Hugging Face models)

Retrieval-Augmented Generation (RAG): Combines dense retrieval with LLMs for grounded responses

Semantic Search: Replaces keyword-based search with intent-aware queries

This enables agents and bots to answer complex questions with dynamic, accurate information.

6. Customer Journey Analytics and Predictive Modeling

AI enables real-time customer journey mapping and predictive support.

Key ML Models:

Churn Prediction: Gradient Boosted Trees (XGBoost, LightGBM)

Propensity Modeling: Logistic regression and deep neural networks to predict upsell potential

Anomaly Detection: Autoencoders flag unusual user behavior or possible fraud

Streaming Frameworks:

Apache Kafka / Flink / Spark Streaming for ingesting and processing customer signals (page views, clicks, call events) in real time

These insights are visualized through BI dashboards or fed back into orchestration engines to trigger proactive interventions.

7. Automation & RPA Integration

Routine post-call processes like updating CRMs, issuing refunds, or sending emails are handled via AI + RPA integration.

Tools:

UiPath, Automation Anywhere, Microsoft Power Automate

Workflows triggered via APIs or event listeners (e.g., on call disposition)

AI models can determine intent, then trigger the appropriate bot to complete the action in backend systems (ERP, CRM, databases)

8. Security, Compliance, and Ethical AI

As AI handles more sensitive data, contact centers embed security at multiple levels:

Voice biometrics for authentication (e.g., Nuance, Pindrop)

PII Redaction via entity recognition models

Audit Trails of AI decisions for compliance (especially in finance/healthcare)

Bias Monitoring Pipelines to detect model drift or demographic skew

Data governance frameworks like ISO 27001, GDPR, and SOC 2 compliance are standard in enterprise AI deployments.

Final Thoughts

AI in 2025 has moved far beyond simple automation. It now orchestrates entire contact center ecosystems—powering conversational agents, augmenting human reps, automating back-office workflows, and delivering predictive intelligence in real time.

The technical stack is increasingly cloud-native, model-driven, and infused with real-time analytics. For engineering teams, the focus is now on building scalable, secure, and ethical AI infrastructures that deliver measurable impact across customer satisfaction, cost savings, and employee productivity.

As AI models continue to advance, contact centers will evolve into fully adaptive systems, capable of learning, optimizing, and personalizing in real time. The revolution is already here—and it's deeply technical.

[envisionenterprisesolutions]

Why General Cargo Terminals (GCTOS) Need Automation

Diverse Cargo Requirements

General cargo can include anything from timber and wind turbine blades to industrial boilers. Each type requires different lifting equipment, safety procedures, and storage conditions—making manual coordination complex and risky. This is especially true in environments that need both break-bulk cargo management and bulk cargo handling software.

High Volume and Turnover

Busy terminals may handle thousands of different cargo items monthly. Tracking these items manually often leads to misplaced shipments, lost revenue, and customer dissatisfaction.

Documentation Overload

Handling general cargo requires numerous documents—delivery notes, customs declarations, loading instructions, hazardous materials forms—each with stringent regulatory compliance requirements.

Limited Visibility

Without real-time digital tracking, it’s nearly impossible to know where a specific cargo item is, how long it’s been stored, or whether it has cleared customs. This visibility gap causes disruptions across the logistics chain.

Global Compliance Requirements

General cargo often involves international shipping regulations and customs protocols. Automation ensures documentation is consistent, timely, and compliant with international standards.

[sigmasolveinc]

How Can Generative AI Help in Building Cost Reduction Strategies

Generative AI is a new age for James Bond, who has been doing unimaginative things that even the scriptwriters of James Bond movies would have never imagined. Ever since artificial intelligence took the world by storm, it’s been a trend to mention Gen AI and revolutionize in one line.

Generative AI, which is fundamentally a branch of artificial intelligence, has gone ahead of it. While AI is busy transforming business environments, generative AI solutions are altering humans’ thinking patterns. It has proven to be the finest efficiency enhancer.

It automates iterative tasks, collects, segments, and analyzes big data, and prepares reports and insights. From streamlining operations to turning a business into a cost-effective and competitive one, generative AI is leading businesses toward innovation and a better tomorrow.

Understanding Generative AI:

Understanding the capabilities of generative AI isn’t difficult if you know the fundamental difference between creative ideas and preconceived ideas. While traditional AI offers programmed answers, generative AI brings us original and unique concepts created using neural networks and deep learning algorithms.

When it comes to problem-solving, traditional AI has limited understanding and timid solutions, while generative AI excels in creativity and offers out-of-the-box solutions. For example, archaic AI was not able to understand the queries posed by customers, but chatbots powered by generative AI comprehend questions efficiently and answer them to improve customer satisfaction.

Gen AI-driven Cost Reduction Strategies:

The undisputed fact is that generative AI solutions are bringing unmatched transformation in the operations efficiency of businesses. However, the biggest benefit for businesses is cost reduction. From operations to overhead and logistics, generative AI (GAI) has been changing the way businesses conduct their daily operations.

From analyzing huge datasets to producing creative solutions, Generative AI development is helping businesses enhance resource management and streamline workflows to save big money. Let’s look at how generative AI is helping businesses define their cost-cutting strategies across sectors.

Manufacturing: From Prototype to Production with Generative Efficiency

Waste Control: Generative AI analyzes production constraints and design anomalies to develop a design that uses optimal material. Thus, Gen AI reduces material waste and, thereby, manufacturing costs.

Automated Quality Control: Generative AI can be deployed to regularly investigate the systems quickly and accurately to reduce human mistakes and correlative costs.

Predictive Maintenance: GAI continuously analyzes machine data to forecast system failures and alerts technicians to precautionary maintenance to avoid downtime and associated costs.

Supply Chain Management: Intelligent Inventory and Logistics

Dynamic Pricing: Gen AI Solutions analyzes product demand, customer behavior, and market dynamics in real time to propose dynamic pricing that optimizes profitability and competitiveness.

Demand Forecasting: Generative AI evaluate historical data, analyze market trends, and monitor public sentiments through social media to predict demands that optimize inventory management and reduce storage costs.

Route Optimization: Gen AI development equips businesses to analyze weather conditions, traffic patterns, and fuel consumption to optimize delivery routes and reduce transportation costs.

Finance and Insurance: Streamlined Processes and Fraud Detection

Automated Data Entry: The finance sector produces unprecedented amounts of data that require proper entry to generate analytics. Gen AI automates these repetitive data entry tasks to optimize resources and reduce labor costs.

Fraud Detection: Finance and fraud are two sides of the same coin. Gen AI tracks transaction patterns to detect anomalies, prevent fraud, prevent financial losses, and protect data privacy.

Risk Analysis: GAI analyzes individuals’ investment patterns and assesses their risk appetite to suggest better investment options and secure them through competitive insurance, preventing money waste.

Marketing and Sales: Tailored Content and Targeted Campaigns

Content Generation: Creativity has been the forte of generative AI solutions. Businesses can create marketing materials, target-specific social media posts, and run personalized email campaigns leveraging GAI.

Targeted Advertising: Generative AI evaluates KPIs and many other metrics to define the target audience and relevant demography to run campaigns that reduce spending on unnecessary advertising.

Virtual Assistants: GAI is taking over customer support through virtual assistants. AI-powered chatbots respond instantly to customer queries and provide 24/7 support to enhance customer satisfaction.

Healthcare: Personalized Medicine and Drug Discovery

Medical Imaging Analysis: Generative AI development involves scanning medical images to perfection to help doctors diagnose diseases and reduce the cost of repetitive image scans.

Drug Discovery: A generative AI solution architect processes molecule datasets and disease mutations to discover drugs. The architect uses Gnome and DNA analysis to identify people and evaluate the drug’s potency.

Personalized Treatment: Gen AI is capable of evaluating patients’ health data, medication, and responses to allow doctors to determine the most accurate treatment for patients, leading to reduced medication costs.

Customer Service: Resolution through Virtual Assistants

Sentiment Analysis and Resolution: Gen AI scans social media to understand market sentiments, address them promptly, and reduce the need to hire expensive customer service executives.

Virtual Assistants: When chatbots can answer all customer queries satisfactorily and add value to customers’ purchases, why would businesses spend money on human resources at high prices?

Cybersecurity: Exposure Analysis and Prevention

Threat Detection and Prevention: Generative AI services providers are focused on cybersecurity concerns and building Gen AI solutions that identify and prevent cyberattacks in real-time, reducing disaster costs.

Vulnerability Analysis: Generative AI regularly inspects software code and other technical glitches to reduce the cost of security breaches by taking pre-empt measures.

Software Development: Automation, Testing and Prototyping

Software development: Software development is costly, but AI can significantly reduce development costs by automating code generation. AI and automation solutions can also evaluate the framework, libraries, and project requirements accurately for resource optimization.

Intelligent Testing: With AI’s deep penetration in software development, costly manual testing is being replaced by automated testing. AI creates efficient and targeted test cases to save valuable development hours.

Key Benefits of Generative AI for Cost Reduction:

Think of software, although the development is costly, which can help you with cost cutting. Generative AI is a computer program that helps businesses save money and time, bringing efficiency.

Businesses are already plucking the low-hanging fruits of using generative AI even though they have yet to explore the field thoroughly. Generative AI solutions eliminate errors, automate tasks, stimulate creativity, and reduce waste – all to ensure businesses become cost-effective.

Automating Complex Tasks:

Generative AI goes beyond standard automation as it takes on complex, repetitive tasks. A survey suggests code automation saves 20 to 30% of the time. GAI not only saves time but also reduces labor costs.

Enhanced Decision-Making:

Generative AI solutions improve the accuracy and quality of business decisions by involving big data analytics and generating insights. From resource allocation to waste reduction, Gen AI ensures businesses become competitive.

Predictive Capabilities:

Generative AI solutions play a vital role in protecting businesses from incurring massive financial losses due to bad decisions. The predictive analysis gives a rooted idea about the market, customers, and risks, allowing timely measures.

Personalization:

One of the best uses of Gen AI is personalization, which not only saves money but also enhances customer satisfaction. Tailored conversation between the brand and consumers improves brand trust and customer loyalty at the same time.

Rapid Prototyping and Innovation:

Product design and development were forever changed after AI started producing design mockups and virtual prototypes. Generative AI quickly refines ideas and turns them into virtual products without real-world costs.

Uncovers Hidden Savings:

Generative AI is excellent at identifying unnecessary spending. They tell how expenses can be avoided or optimized. They identify loopholes in the system to improve resource allocation, thereby curbing unnecessary spending.

Fraud Detection:

Generative AI gets proactive when it is required to protect systems from cyberattacks. Gen AI constantly tracks every transaction for inconsistent or suspicious transactions to notify the cybersecurity team so that businesses can protect their hard-earned money.

Best Practices for Optimizing Generative AI Costs:

Like every good ship needs an able hand to navigate the challenges at high sea, implementation of generative AI solutions needs human oversight and timely interventions to get the maximum out of it. Smart management of generative AI solutions in businesses bears sweet fruits. Let’s check what best practices businesses can follow to optimize generative AI for cost-cutting.

Clear Objectives:

Evaluate the costs and determine the objectives of implementing Gen AI solutions.

Right Use Cases:

Selecting the proper use cases becomes vital when GAI is implemented in critical areas.

Data Quality:

No compromise in data quality. Training AI models need unbiased and diverse datasets for accuracy.

Scalable Infrastructure:

Instead of physical IT infrastructure, we prefer cloud-based to manage the increasing load without breaking the bank.

Consistent Monitoring:

Evaluating the performance of the gen AI model helps improve performance and reduce update costs.

Human-AI Collaboration:

Keep gen AI solutions to perform the tasks and human resources to look over AI performance for optimal use and cost-effectiveness.

Ethical AI Use:

Ethical considerations are vital for the success of gen AI solutions and their ability to cut operational costs for businesses.

Invest in AI Education:

Since AI is relatively new and users are unskilled, businesses must invest in educating their employees for better returns.

Iterative Implementation:

Start with a pilot project, check performance, learn, adapt, and improve before scaling the solution.

Vendor Management:

Choosing the right generative AI services provider and selecting flexible contracts is vital for controlling costs.

Original Source: https://useallday.com/how-can-generative-ai-help-in-building-cost-reduction-strategies

[truetechreview]

Ultimate Guide to DeepSeek AI for Business Growth

Table of Contents of DeepSeek AI for Business Growth1. Introduction: Why AI is Essential for Modern Business Growth2. What Is DeepSeek AI?3. Top 5 DeepSeek AI Tools for Scaling Businesses3.1 Demand Forecasting Engine3.2 Customer Lifetime Value (CLV) Predictor3.3 Automated Supply Chain Optimizer3.4 Dynamic Pricing Module3.5 Sentiment Analysis Hub4. How DeepSeek AI Reduces Costs and Boosts…

[atomickidalpaca]

Revolutionizing Talent Acquisition: How AI-Powered Shortlisting is Transforming Hiring at Scale Through AiFlo

In today’s hyper-competitive job market, recruiters and hiring managers are overwhelmed with countless applications for every open position. The traditional methods of shortlisting candidates are no longer sustainable. That’s where AI-powered shortlisting comes into play — transforming recruitment from a slow, manual task into a smart, data-driven, and scalable process.

With companies like AiFlo leading the charge in automation and AI innovation, businesses now have the tools to hire faster, smarter, and more fairly than ever before.

Let’s dive into how AI shortlisting works, why it’s better, and why your business needs to adopt it right now.

What is AI-Powered Shortlisting?

AI-powered shortlisting refers to the use of artificial intelligence and machine learning algorithms to analyze job applications and identify top candidates based on specific role requirements. It automates the most time-consuming steps of the hiring process — screening resumes, matching qualifications, and ranking candidates.

Unlike keyword-based filters, modern AI solutions understand the context of skills, job roles, and experience, making shortlisting significantly more accurate.

Why Traditional Shortlisting is Failing

Traditional shortlisting often involves manual resume screening, which can be subjective, slow, and prone to bias. HR professionals can spend up to 23 hours screening resumes for a single hire, often leading to burnout and poor hiring decisions.

Here are the biggest problems with traditional shortlisting:

Time-consuming process

Human bias affects fairness

Inconsistent evaluations

Limited scalability

How AiFlo Automates the Shortlisting Process

AiFlo’s AI-powered shortlisting solution changes the game by automating candidate evaluation using custom logic, deep learning, and NLP (Natural Language Processing).

Here’s how it works:

Custom Job Matching Engine – AiFlo's tool learns the exact hiring criteria and ranks candidates accordingly.

Resume Parsing & Scoring – The system parses hundreds of resumes in seconds and gives each candidate a score based on relevance.

Pre-Built Workflows – You can set up intelligent filters and conditions to automatically sort applicants.

Bias-Free Evaluation – By focusing purely on skills and experience, AI reduces unconscious bias.

Real-Time Shortlist Reports – Instantly download a pre-qualified list of the best-fit candidates.

The Benefits of Using AI for Shortlisting1. Faster Time-to-Hire

With automation, you can move from application to interview in hours instead of days.

2. Cost Savings

Reduce recruitment costs significantly by saving manual screening time and eliminating bad hires.

3. Improved Quality of Hire

AI selects the most relevant candidates, improving the quality of your interview pool.

4. Scalability

Whether hiring one person or hundreds, the process remains equally efficient.

5. Compliance and Objectivity

AI helps ensure fair evaluations that are compliant with hiring regulations.

Ideal Use Cases for AI Shortlisting

AI-powered shortlisting isn’t just for tech giants. It’s revolutionizing hiring across industries, especially where volume hiring is common.

BPO & Call Centers

IT & Software Development

Retail & Ecommerce

Healthcare Staffing

Remote/Global Hiring

Customizable, Not One-Size-Fits-All

AiFlo’s shortlisting solution isn’t a rigid template. You can fully customize the AI logic to match your job description, skill priorities, and hiring goals.

Whether you’re looking for soft skills, niche expertise, or multilingual candidates, AiFlo helps you   with your unique hiring needs.

Data Privacy and Candidate Trust

With increasing concerns over privacy and ethical AI, AiFlo ensures:

GDPR-compliant data processing

Transparent AI decision-making

No candidate information is sold or misused

This makes AiFlo not just effective but trustworthy for both employers and candidates.

Human + AI: The Perfect Combo

AI doesn’t replace the human recruiter — it empowers them. With routine screening automated, recruiters can:

Focus on candidate experience

Build stronger relationships

Make more strategic hiring decisions

It’s the best of both worlds — human intuition supported by machine intelligence.

Real-World Impact: What Companies Are Saying

Companies using AiFlo’s AI-powered hiring report:

Up to 70% reduction in time spent on shortlisting

3x better candidate quality

Higher retention rates due to better job matches

As one recruiter put it:

“AiFlo didn’t just save us time — it completely changed how we look at talent acquisition.”

Ready to Scale Your Hiring?

If you're scaling your team, especially across multiple geographies or roles, AI shortlisting is no longer a luxury — it’s a necessity.

AiFlo is helping businesses turn chaos into clarity with one intelligent hiring solution. Whether you’re hiring ten people or ten thousand, the power of AI shortlisting makes it faster, fairer, and future-ready.

Conclusion: Future-Proof Your Hiring Strategy Today

In the war for top talent, the fastest and most accurate hirers win. Manual shortlisting methods just can’t keep up with the speed and complexity of modern hiring demands.

By adopting AI-powered shortlisting with platforms like AiFlo, businesses gain a clear edge — from improving candidate experience to reducing hiring costs and increasing diversity.So, if you want to transform your hiring funnel into a smart, streamlined, and scalable engine, AiFlo is your answer. Start shortlisting smarter. Start hiring better.

[dailymore-news]

The Rise of AI in Hospitality: How Technology is Revolutionizing.

Introduction: The Revolution of Artificial Intelligence in Hospitality The hospitality industry, which is traditionally known for its personalized customer service and human interaction, is undergoing a significant transformation. Artificial Intelligence (AI) is now integral to every industry facet. It impacts guest services and marketing. It also influences operations and management. Hotels and…

[ai-firstmindset]

AI Optimization Solution

Using AI for personalization will transform customer interactions for good. It’s time to embrace tailored, intelligent experiences that drive business growth.