#How to Optimize Query Execution Time?

[lucid-outsourcing-solutions]

ColdFusion Performance Tuning: How to Optimize Query Execution Time?

[8techlabs-blog]

How to Balance Fixing Performance Issues and Adding New Features in Web Applications?

In today’s digital landscape, web applications are essential for business operations, marketing, and consumer involvement. As organizations expand and consumer expectations rise, development teams are frequently confronted with the difficult task of balancing two key priorities: addressing performance issues and introducing new features.

While boosting performance improves the user experience and increases efficiency, new features are required to remain competitive and meet market demands. Prioritizing one over the other, on the other hand, might have negative consequences—performance concerns can lead to a poor user experience while failing to innovate can result in a competitive disadvantage.

This blog delves into how to balance improving performance and introducing new features to web apps, allowing firms to satisfy technical and market demands efficiently.

Why Balancing Performance and New Features Is Crucial

A web application‘s success depends on both its performance and its features. However, relying entirely on one might result in imbalances that impair both user happiness and business progress. 

Performance:Performance is an important component that directly influences user retention and happiness. Users can become frustrated and leave if the application has slow loading times, crashes, or problems. Ensuring that your web application runs smoothly is essential since 53% of mobile consumers would quit a site that takes more than three seconds to load. 

New Features:On the other hand, constantly adding new features keeps users interested and promotes your company as innovative. New features generate growth by attracting new consumers and retaining existing ones who want to experience the most recent changes.

The dilemma is deciding when to prioritize bug fixes over new feature development. A poor balance can harm both performance and innovation, resulting in a subpar user experience and stagnation. 

Common Performance Issues in Web Applications

Before balancing performance and features, it’s important to understand the common performance issues that web applications face:

Slow Load Times: Slow pages lead to higher bounce rates and lost revenue.

Server Downtime: Frequent server outages impact accessibility and trust.

Poor Mobile Optimization: A significant portion of web traffic comes from mobile devices and apps that aren’t optimized for mobile fail to reach their potential.

Security Vulnerabilities: Data breaches and security flaws harm credibility and user trust.

Bugs and Glitches: Software bugs lead to poor user experiences, especially if they cause the app to crash or become unresponsive.

Strategic Approaches to Fixing Performance Issues

When performance issues develop, they must be handled immediately to guarantee that the online application functions properly. Here are techniques for improving performance without delaying new feature development: 

Prioritize Critical Issues:Tackle performance issues that have the most significant impact first, such as slow loading times or security vulnerabilities. Use analytics to identify bottlenecks and determine which areas require urgent attention. 

Use a Continuous Improvement Process:Continuously monitor and optimize the application’s performance. With tools like Google PageSpeed Insights, you can track performance metrics and make incremental improvements without major overhauls. 

Optimize Database Queries:Slow database queries are one of the leading causes of web app performance issues. Optimize queries and ensure that the database is indexed properly for faster access and retrieval of data. 

Reduce HTTP Requests:The more requests a page makes to the server, the slower it loads. Minimize requests by reducing file sizes, combining CSS and JavaScript files, and utilizing caching.

  5. Leverage Caching and CDNs:       Use caching strategies and Content Delivery Networks (CDNs) to deliver content quickly to users by storing files in multiple locations globally.

Why Adding New Features is Essential for Growth

 In the rapidly changing digital environment, businesses must continually innovate to stay relevant. Adding new features is key to maintaining a competitive edge and enhancing user engagement. Here’s why:

User Expectations:Today’s consumers expect personalized experiences and constant innovation. Failure to add new features can lead to customer churn, as users may feel your web application no longer meets their needs.

Market Differentiation:Introducing new features allows your application to stand out in the marketplace. Unique functionalities can set your app apart from competitors, attracting new users and increasing customer loyalty.

Increased Revenue Opportunities:New features can lead to additional revenue streams. For example, adding premium features or new integrations can boost the app’s value and lead to increased sales or subscription rates.

  4. Feedback-Driven Innovation:       New features are often driven by user feedback. By continuously developing and adding features, you create a feedback loop that improves the overall user experience and fosters customer                 satisfaction.

Read More: https://8techlabs.com/how-to-balance-fixing-performance-issues-and-adding-new-features-in-web-applications-to-meet-market-demands-and-enhance-user-experience/

[natalioamadofakhre1]

How Natalio Amado Fakhre Helps Brands Dominate Google Rankings Across Europe

An organization's visibility on Google can make or break its success in the crowded digital marketplace. Across Europe, one digital strategist is helping companies rise to the top of search results—Natalio Amado Fakhre. Based in Madrid, Spain, Natalio is known for his sharp SEO strategies, social media expertise, and brand-building capabilities that consistently deliver results.

Let’s examine how Natalio helps brands claim top positions on Google and build sustainable search engine dominance.

Who Is Natalio Amado Fakhre?

Natalio Amado Fakhre is a Madrid-based digital marketing expert focused on SEO, social media marketing, and branding. Over the years, he has worked with businesses across multiple European markets—developing and executing data-driven campaigns that directly increase visibility, traffic, and conversions.

His approach is technical, creative, and laser-focused on what Google values most: quality content, authority, and user experience.

Foundations of His SEO Success

1. Fixing What Holds Brands Back

Natalio starts with deep technical SEO audits, identifying and resolving issues that hinder performance:

Page speed and core web vitals

Broken links and crawl errors

Mobile responsiveness

Duplicate content and indexing gaps

These elements lay the groundwork for everything else—because even the best content can’t rank if a site’s foundation is flawed.

2. Keyword Targeting That Matches User Intent

Ranking is only valuable if it matches what users are actually searching for. Natalio conducts intent-focused keyword research, building strategies that cover:

Informational queries (e.g., guides, tips)

Transactional searches (e.g., buy, hire, services)

Regional keywords tailored for each European market

This precision helps generate not just traffic—but qualified, conversion-ready visitors.

3. Strategic On-Page Optimization

Every page is optimized with:

Clear heading structures (H1-H3)

Internal linking to boost topical relevance

Optimized images with alt tags

Schema markup to improve search visibility

His focus on semantic SEO ensures that content communicates value to both users and Google’s crawlers.

Localizing SEO for European Markets

Natalio understands that SEO in Europe isn't one-size-fits-all. Search behaviors, languages, and competitors vary across countries. He tailors strategies with:

Local keyword research (Spanish, French, German, etc.)

Region-specific backlink outreach

Hreflang implementation for multilingual targeting

This attention to regional detail gives his clients an edge in markets like France, Germany, Italy, the Netherlands, and beyond.

Creating Content That Drives Rankings

Tone and Voice

Natalio builds a consistent brand voice that aligns with each client’s identity. Whether it's professional, approachable, or bold, the tone remains uniform across:

Blog posts

Service pages

Landing pages

Social content

Content Formats That Work

He favors high-performing formats such as:

1000–2000 word blog posts

How-to guides

Comparison articles

Case studies

Listicles and resource hubs

These formats naturally earn backlinks, increase time on page, and support Google’s E-E-A-T principles (Experience, Expertise, Authoritativeness, Trust).

Visual & Interactive Elements for Better UX

User experience is now a direct ranking factor. Natalio boosts engagement by incorporating:

Optimized Images: Branded graphics with alt text and compression

Infographics: Great for link-building and quick summaries

Embedded Videos: Increases time-on-site and builds trust

Interactive FAQs and Sliders: Enhances UX and improves mobile engagement

This reduces bounce rates and encourages deeper content exploration.

Safe, Scalable Link-Building

Natalio doesn’t chase shortcuts. His white-hat link-building tactics include:

Guest posting on relevant, high-authority blogs

Securing digital PR coverage in European outlets

Collaborating with influencers for natural link placements

Building citation links for local SEO strength

These efforts improve domain authority and create ranking durability—especially useful in algorithmic volatility.

Performance Tracking That Matters

Every strategy is backed by clear reporting. Natalio tracks and shares progress through:

Google Analytics 4

Google Search Console

SEO tools like Semrush or Ahrefs

Custom dashboards tracking key KPIs

From organic traffic to keyword rankings and goal completions, clients see exactly where their growth comes from—and what to optimize next.

Notable Results Across Europe

Clients across industries and regions have experienced:

+200% organic traffic growth in 6–9 months

Page one rankings for competitive keywords

Reduced paid ad spend due to organic lead generation

Improved domain authority across multilingual sites

Whether it’s a Spanish B2B SaaS, a French luxury e-commerce brand, or a German real estate agency, Natalio’s SEO blueprint adapts to deliver.

Final Words

Natalio Amado Fakhre isn’t just helping brands appear on Google—he’s helping them stay at the top. His strategies are rooted in data, refined through experience, and shaped for performance in diverse European markets.

For businesses aiming to lead their niche online, partnering with a digital strategist like Natalio can be the difference between showing up—and dominating.

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[mariacallous]

As anyone who so much as glanced at the internet in the past few weeks probably noticed, Google’s sweeping AI upgrade to its search engine had a rocky start. Within days of the company launching AI-generated answers to search queries called AI Overviews, the feature was widely mocked for producing wrong and sometimes bonkers answers, like recommendations to eat rocks or make pizza with glue.

New data from search engine optimization firm BrightEdge suggests that Google has significantly reduced how often it is showing people AI Overviews since the feature launched, and had in fact already substantially curbed the feature prior to the outpouring of criticism. The company has been tracking the appearance of Google’s AI answers on results for a list of tens of thousands of sample searches since the feature was first offered as a beta test last year.

When AI Overviews rolled out to logged-in US users in English after Google’s I/O conference on May 14, BrightEdge saw the AI-generated answers on just under 27 percent of queries it tracked. But their presence dropped precipitously a few days later, the week before screenshots of AI Overviews’ errors went viral online. By the end of last week, when Google published a blog post acknowledging its AI feature’s flubs, BrightEdge saw AI Overviews appearing on only 11 percent of search result pages. Their prevalence was essentially the same on Monday.

Jim Yu, BrightEdge’s founder and executive chairman, says the drop-off suggests that Google has decided to take an increasingly cautious approach to this rollout. “There’s obviously some risks they’re trying to tightly manage,” he says. But Yu adds that he’s generally optimistic about how Google is approaching AI Overviews, and sees these early problems as a “blip” rather than a feature.

“We're continuing to refine when and how we show AI Overviews so they're as useful as possible, including a number of technical updates in the past week to improve response quality,” says Google spokesperson Ned Adriance. Google declined to share its internal statistics about how frequently AI Overviews appear in search, but Adriance says that the BrightEdge numbers don’t reflect what the company sees internally.

It’s unclear why Google may have decided to significantly reduce the appearance of AI Overviews shortly after it launched, but the company’s blog post last week acknowledged that having millions of people use the feature provided new data on its performance and errors. The company’s head of search, Liz Reid, said Google had made “more than a dozen technical improvements,” like limiting satirical content from cropping up in its results. Her post noted that these changes would trigger restrictions on when AI Overviews were offered but did not detail how exactly those restrictions would change the frequency with which AI results appeared.

BrightEdge began tracking AI Overviews using its list of sample queries after Google allowed users to opt in to a beta test of the feature late last year. The test queries spanned nine categories, including ecommerce, insurance, and education, and were designed to span common but also rarer searches. They were tested over and over, in some cases multiple times a day. In December 2023, BrightEdge found that the summaries appeared on 84 percent of its searches but saw that figure drop over time. Google’s Adriance said it did not trigger AI Overviews automatically on 84 percent of searches but did not clarify its internal measurements. After Google opened up AI Overviews to all, BrightEdge continued tracking their appearance using a mixture of accounts that had previously enrolled in the beta test and others which had not but saw no significant difference between what the two groups saw.

Google declined to share exactly how much it changed how many AI Overviews it showed the general public versus people enrolled in the beta test, but Adriance said that people who had opted in to the test were shown AI Overviews on a wider range of queries. BrightEdge’s data also sheds light on the topics where Google believes AI Overviews can be most helpful. AI answers appeared on the majority of health care keyword searches, most recently at a frequency of 63 percent. Sample queries included in BrightEdge’s data included “foot infection,” “bleeding bowel,” and “telehealth urgent care.” In comparison, queries about ecommerce return AI Overviews at around 23 percent, while restaurants or travel very rarely trigger AI overview answers.

Yu calls those results “surprising,” because health queries can be especially sensitive, and Google has made a concerted push in recent years to refine what it shows people who ask health questions.

Mark Traphagen, an executive at the search-engine-optimization platform seoClarity, has also taken special notice of how Google is handling health-care-related queries. To track how AI Overviews are rolling out, the company is monitoring the responses to a list of thousands of searches over time. For 26 popular health-related keywords, including “how to treat insomnia” and “symptoms of Lyme disease,” Google shows an AI response for around 58 percent.

Like Yu, Traphagen has been surprised by how often AI Overviews appear in response to this type of question. But they say the way Google’s feature sources its responses to health queries, often relying on trusted websites like the Mayo Clinic or the US Centers for Disease Control and Prevention, is encouraging. “They have really turned up the safeguards,” Traphagen says. “They’re all from well-known, credible sources.”

Google’s AI answers still sometimes misfire, though, including on health queries. Some experts say that Google’s claims to cite high-quality sources for health answers doesn’t stand up. “They frequently cite pages that don’t rank anywhere, including for health queries,” says search engine optimization consultant Lily Ray. Her experiments have documented how AI Overviews seem to struggle to authoritatively answer “softer” health care queries on topics like aging, building muscle, and skin care. It’s much stronger on more straightforward medical queries, Ray says.

Last week, The New York Times reported concerns over the sources that Google’s algorithms used to answer some health queries, reporting that AI Overviews answered questions about the health benefits of chocolate by drawing on the websites of an Italian chocolate and gelato maker and a company that sells at-home “gut intelligence tests.”

When WIRED queried, “Is chocolate healthy?” on Monday morning, the AI Overview that appeared in response cited the same Italian chocolate company, as well as the website for a Minnesota-based chocolatier. But repeating the query later in the afternoon suggested Google had been making improvements: The chocolate companies had been removed from the citations list, which instead pointed to the websites of four reputable health care organizations, like Scripps Health. (The answer still notes that experts recommend eating a small amount of dark chocolate every day, which is, at best, a contestable summary of current medical advice.)

Despite AI Overview’s rough beginnings, Yu of BrightEdge says that long term, AI search is here to stay. “Big picture is that the AI moment in search is inevitable, and I think it’s going to get much better,” Yu says. That may be the case—but it’s an open question whether a new-and-improved AI Overview will make a big enough leap to repair its reputational damage.

[uegub]

Why Tableau is Essential in Data Science: Transforming Raw Data into Insights

Data science is all about turning raw data into valuable insights. But numbers and statistics alone don’t tell the full story—they need to be visualized to make sense. That’s where Tableau comes in.

Tableau is a powerful tool that helps data scientists, analysts, and businesses see and understand data better. It simplifies complex datasets, making them interactive and easy to interpret. But with so many tools available, why is Tableau a must-have for data science? Let’s explore.

1. The Importance of Data Visualization in Data Science

Imagine you’re working with millions of data points from customer purchases, social media interactions, or financial transactions. Analyzing raw numbers manually would be overwhelming.

That’s why visualization is crucial in data science:

Identifies trends and patterns – Instead of sifting through spreadsheets, you can quickly spot trends in a visual format.

Makes complex data understandable – Graphs, heatmaps, and dashboards simplify the interpretation of large datasets.

Enhances decision-making – Stakeholders can easily grasp insights and make data-driven decisions faster.

Saves time and effort – Instead of writing lengthy reports, an interactive dashboard tells the story in seconds.

Without tools like Tableau, data science would be limited to experts who can code and run statistical models. With Tableau, insights become accessible to everyone—from data scientists to business executives.

2. Why Tableau Stands Out in Data Science

A. User-Friendly and Requires No Coding

One of the biggest advantages of Tableau is its drag-and-drop interface. Unlike Python or R, which require programming skills, Tableau allows users to create visualizations without writing a single line of code.

Even if you’re a beginner, you can:

✅ Upload data from multiple sources

✅ Create interactive dashboards in minutes

✅ Share insights with teams easily

This no-code approach makes Tableau ideal for both technical and non-technical professionals in data science.

B. Handles Large Datasets Efficiently

Data scientists often work with massive datasets—whether it’s financial transactions, customer behavior, or healthcare records. Traditional tools like Excel struggle with large volumes of data.

Tableau, on the other hand:

Can process millions of rows without slowing down

Optimizes performance using advanced data engine technology

Supports real-time data streaming for up-to-date analysis

This makes it a go-to tool for businesses that need fast, data-driven insights.

C. Connects with Multiple Data Sources

A major challenge in data science is bringing together data from different platforms. Tableau seamlessly integrates with a variety of sources, including:

Databases: MySQL, PostgreSQL, Microsoft SQL Server

Cloud platforms: AWS, Google BigQuery, Snowflake

Spreadsheets and APIs: Excel, Google Sheets, web-based data sources

This flexibility allows data scientists to combine datasets from multiple sources without needing complex SQL queries or scripts.

D. Real-Time Data Analysis

Industries like finance, healthcare, and e-commerce rely on real-time data to make quick decisions. Tableau’s live data connection allows users to:

Track stock market trends as they happen

Monitor website traffic and customer interactions in real time

Detect fraudulent transactions instantly

Instead of waiting for reports to be generated manually, Tableau delivers insights as events unfold.

E. Advanced Analytics Without Complexity

While Tableau is known for its visualizations, it also supports advanced analytics. You can:

Forecast trends based on historical data

Perform clustering and segmentation to identify patterns

Integrate with Python and R for machine learning and predictive modeling

This means data scientists can combine deep analytics with intuitive visualization, making Tableau a versatile tool.

3. How Tableau Helps Data Scientists in Real Life

Tableau has been adopted by the majority of industries to make data science more impactful and accessible. This is applied in the following real-life scenarios:

A. Analytics for Health Care

Tableau is deployed by hospitals and research institutions for the following purposes:

Monitor patient recovery rates and predict outbreaks of diseases

Analyze hospital occupancy and resource allocation

Identify trends in patient demographics and treatment results

B. Finance and Banking

Banks and investment firms rely on Tableau for the following purposes:

✅ Detect fraud by analyzing transaction patterns

✅ Track stock market fluctuations and make informed investment decisions

✅ Assess credit risk and loan performance

C. Marketing and Customer Insights

Companies use Tableau to:

✅ Track customer buying behavior and personalize recommendations

✅ Analyze social media engagement and campaign effectiveness

✅ Optimize ad spend by identifying high-performing channels

D. Retail and Supply Chain Management

Retailers leverage Tableau to:

✅ Forecast product demand and adjust inventory levels

✅ Identify regional sales trends and adjust marketing strategies

✅ Optimize supply chain logistics and reduce delivery delays

These applications show why Tableau is a must-have for data-driven decision-making.

4. Tableau vs. Other Data Visualization Tools

There are many visualization tools available, but Tableau consistently ranks as one of the best. Here’s why:

Tableau vs. Excel – Excel struggles with big data and lacks interactivity; Tableau handles large datasets effortlessly.

Tableau vs. Power BI – Power BI is great for Microsoft users, but Tableau offers more flexibility across different data sources.

Tableau vs. Python (Matplotlib, Seaborn) – Python libraries require coding skills, while Tableau simplifies visualization for all users.

This makes Tableau the go-to tool for both beginners and experienced professionals in data science.

5. Conclusion

Tableau has become an essential tool in data science because it simplifies data visualization, handles large datasets, and integrates seamlessly with various data sources. It enables professionals to analyze, interpret, and present data interactively, making insights accessible to everyone—from data scientists to business leaders.

If you’re looking to build a strong foundation in data science, learning Tableau is a smart career move. Many data science courses now include Tableau as a key skill, as companies increasingly demand professionals who can transform raw data into meaningful insights.

In a world where data is the driving force behind decision-making, Tableau ensures that the insights you uncover are not just accurate—but also clear, impactful, and easy to act upon.

[acuvate-updates]

Revolutionizing Enterprises: CXO’s GenAI Transformation

1. Unlocking AI’s Potential: A Strategic Overview

AI adoption, embraced by 70% of executives, promises enhanced customer experiences despite challenges. Understanding and integrating AI into business operations is essential. Explore our guide for actionable insights, ensuring businesses not only survive but thrive in the AI-driven era.

Learn more about Artificial Intelligence impact in 2025

AI Reshaping Decision-Making in 2025

Generative AI, like GPT, simplifies business processes. It transforms decision-making with its user-friendly interfaces, self-learning capabilities, and efficient sorting.

Furthermore, it’s a budget-friendly solution with no training fees, making it accessible for businesses of various sizes.

Our guide aims to offer practical insights for responsibly adopting this transformative technology. Following our roadmap allows businesses to navigate the Generative AI landscape, ensuring success in the constantly changing digital environment.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

C-Suite Roles Transformed by AI

Strategic AI Adoption Tips for Leaders

To successfully adopt AI, prioritize it for strategic goals, use tailored features, and embrace multilingual capabilities. Ensure secure deployment for data integrity. Offices that adopt AI enjoy streamlined processes, ongoing innovation, and secure frameworks.

2. Transforming C-Suite Roles with AI

Empowering CIOs: Innovating IT with AI

In enterprise IT, AI, particularly models like GPT, empowers CIOs to break traditional boundaries and improve operations through groundbreaking innovations.

Use Cases:

· Smart IT Helpdesk Support: AI ensures 24x7 support with human-like conversations, reducing user effort and cost.

· Smart Search: AI transforms data management, improving user engagement with easy-to-use search capabilities.

· Next-Gen Customer Support: AI automates email-based queries, crafting personalized responses for enhanced customer experiences.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

Implementation Tips:

· Prioritize AI for strategic goals.

· Personalized and multilingual capabilities.

· Ensure secure deployment for data integrity.

· Offices embracing AI experience streamlined helpdesks, continuous innovation, and secure frameworks.

Empowering HR with AI: From Administration to Leadership

Use Cases:

· AI-powered Talent Acquisition: AI streamlines global recruitment, automating candidate screening and optimizing interview scheduling.

· Efficient Employee Onboarding: AI redefines onboarding by using chatbots to create personalized experiences and promote communication across departments.

· Personalized Employee Engagement: AI’s learning capabilities drive adaptive engagement activities, ensuring timely interventions and integrating feedback loops.

· Data-Driven Learning and Development: AI changes learning through advanced knowledge mining, personalized modules, and interactive interfaces.

Implementation Tips:

· Align AI integration with strategic HR goals.

· Leverage AI’s personalization and multilingual features.

· Uphold data integrity and fortify security during deployment.

· Offices leveraging AI experience streamlined recruitment, efficient onboarding, personalized engagement, and reimagined L&D.

Also, read more about How GPT-powered Chatbots Can Help HR Leaders Drive Engagement and Retention

AI-Powered Marketing: A CMO’s Secret Weapon

Use Cases:

· AI-Powered Brand Engagement Solutions: AI revolutionizes brand engagement with personalized content, human-like communication, and timely identification of upsell opportunities.

· Smartly allocate ad spending: AI enables CMOs to allocate budgets wisely by analyzing real-time market trends predictively.

Implementation Tips:

· Prioritize AI Integration aligned with core marketing goals.

· Leverage Multilingual Features for global brand reach.

· Strategize Deployment with a focus on data integrity and customer privacy.

· Offices with AI experience tailored brand engagement, proactive ad spend decisions, and seamless multilingual marketing.

Explore the Power of Generative AI for enhancing CX — Marketing and Customer support/ Engagement

AI: The COO’s Catalyst for Operational Agility and Efficiency

In the realm of Operational efficiency, Chief Operating Officers (COOs) orchestrate processes to optimize resources.

Use Cases:

· Simplifying the supply chain: Artificial Intelligence (AI) provides a high-level perspective, facilitating proactive demand forecasting and prompt corrective actions for effective supply chains.

· Enhancing Operational Communication: AI-powered chatbots ensure role-specific information flow, facilitating real-time feedback and swift issue resolution.

· Driving Operational Cost Optimization: AI analyzes data for cost leakage points, recommends resource redistribution, and encourages real-time cost insights.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

Implementation Tips:

· Justify Integration Effort with improved operational KPIs.

· Leverage Iterative Learning for continuous process refinement.

· Prioritize Data Security, safeguarding organizational assets.

· Offices with AI experience data-driven supply insights, intelligent communication, and dynamic cost optimization.

· In the dynamic field of data management, Chief Data Officers (CDOs) use AI, including GPT and other generative AI models, as strong supporters to decode large datasets effectively.

Use Cases:

· Enhancing Data Intelligence: AI’s advanced algorithms mine data, providing insights that shape business strategies through predictive modeling and intelligent summarizing.

· Managing Unstructured Data: AI’s NLP features efficiently process and convert unstructured data into organized, clear formats, enhancing data processing efficiency.

· Enhancing Data Governance: AI simplifies data management by automating organization, ensuring compliance with regulatory policies, real-time breach detection, and maintaining data standards.

Implementation Tips:

· Start with a clear data strategy aligning AI’s abilities with major data challenges.

· Prioritize data protection in AI adoption for utility and security.

· Invest in continuous training, refining AI models for better understanding of organizational data.

· Offices with AI experience automated, intelligent data insights, streamlined data, and proactive, AI-assisted data governance.

3. AI’s Impact: Boosting Enterprise Efficiency

Discover how advanced AI, including Azure OpenAI’s GPT, is reshaping enterprise operations. Explore real-world use cases across departments, showcasing the profound impact of Generative AI on organizational efficiency.

AI Integration Across Departments

SharePoint Search Integration

Structured Data Insights & Summarization

AI enables the effortless transformation of structured data into actionable intelligence. This module analyzes tables and databases, extracting meaningful insights presented in user-friendly natural language summaries, empowering teams for informed decision-making.

R&D Assistant

In Research and Development, AI acts as a dedicated assistant, leveraging internal and external data sources for comprehensive reports and analysis.

Customer/Consumer Support

Elevate customer support with an AI-powered chatbot that delivers personalized and context-aware responses. By training the model with customer support data, this solution ensures accuracy and seamless integration with existing systems.

HR Chatbot

AI becomes an invaluable virtual assistant in HR, guiding employees through common queries with personalized responses. From leave requests to company policies, this intelligent chatbot ensures a seamless and efficient employee experience.

IT Chatbot

Revolutionize IT support by using an AI-powered chatbot. The chatbot can troubleshoot common issues, give step-by-step instructions, and escalate complex cases. Enhance user experience and streamline technical support with this essential tool.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

Document Comparison/RFP Validation

AI streamlines procurement and HR processes by comparing documents. Quickly analyze text documents for similarities, differences, and changes, ensuring accuracy in document validation and specifications.

Procurement Assistant

Automate and streamline the procurement process with an AI-powered assistant. Generate purchase orders, request for quotations, and vendor evaluations based on predefined templates and user inputs, ensuring efficiency and accuracy.

Search Integration with SAP JAM/ServiceNow KB/Salesforce KB

Bridge the knowledge gap by integrating AI with ERP and ITSM systems. Enable interactive conversations beyond search results, enhancing user understanding and engagement with content.

Knowledge Management Solution

Empower your workforce with a Knowledge Management Solution seamlessly merging AI with Azure Cognitive Search. Unlock information from diverse sources, fostering a culture of knowledge-sharing and collaboration.

Integrate innovative AI use cases into your strategy for streamlined processes and enhanced user experiences.

4. Unlocking AI’s Power with Acuvate: A Comprehensive Guide

As businesses embrace AI’s transformative potential, Generative Pre-trained Transformers (GPT) take center stage, enhancing productivity. Our guide delves into AI FAQs, ensuring data security and adaptability for enterprise needs.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

Acuvate Advantage

Experience the Org Brain GPT framework, combining analytics and enterprise security. Acuvate’s expertise, spanning 16 years, ensures customized AI solutions for streamlined processes.

Explore our AI trends guide to boost your organization’s capabilities. Request a demo or insight into Acuvate’s transformative AI solutions for enhanced performance.

Also, read our other blogs on the AI revolution on Medium

9 Must-Watch Webinars of 2025 for Tech Enthusiasts | Medium

- AI-Driven Transformation: A CXO's Guide to Generative AI Success | Medium

GPT Revolution in AI - A Strategic Guide for CXO | Medium

Emerging Energy Technologies: Data, AI & Digital Solutions in 2025 | Medium

[essential-infotech]

Digital Marketing for E-commerce

In the present serious web-based market, computerized advertising for internet business is fundamental for driving deals, expanding brand perceivability, and developing your business. From Website optimization and web-based entertainment promoting to content creation and email crusades, computerized showcasing is the motor that powers fruitful online business adventures.

How Digital Marketing Benefits E-commerce

Computerized promoting isn't just about getting your items before clients; about building a brand individuals trust. Prior to making a buy, clients frequently read surveys and look at content across different stages. This web-based presence helps your webpage traffic and at last drives deals representing up to 85% of all deals at times.

One of the critical difficulties for internet business organizations is catching and keeping up with client consideration. With such countless interruptions on the web, it's simple for possible clients to click away. That is where a solid computerized promoting procedure comes in. By utilizing designated strategies, you can keep your crowd connected with and convert them into faithful clients.

The Core Components of Digital Marketing for E-commerce

Search Engine Optimization (SEO):

Web optimization is tied in with making your site more noticeable on web crawlers like Google. By streamlining your site with important catchphrases, working on its construction, and making quality substance, you can rank higher in query items, drawing in natural rush hour gridlock to your store.

Search Engine Marketing (SEM):

SEM adopts an alternate strategy by utilizing paid promoting to acquire fast perceivability. Through pay-per-click (PPC) promotions, your business can show up at the highest point of indexed lists for explicit catchphrases, driving designated traffic to your site right away.

Content Marketing:

Making significant and important substance is at the core of content showcasing. Whether it's blog entries, recordings, or infographics, the objective is to draw in your crowd, fabricate trust, and direct people to your webpage. Quality substance tends to your clients' requirements and interests, making it an amazing asset for changes.

Email Marketing:

Email promoting includes sending designated messages straightforwardly to your supporters. These could be special offers, bulletins, or customized content. The point is to keep your clients educated and drew in, empowering rehash buys and encouraging long haul connections.

Social Media Marketing:

Stages like Facebook, Instagram, and Twitter are essential for building brand mindfulness and drawing in with your crowd. By making and sharing substance, running promotions, and interfacing with devotees, web-based entertainment showcasing assists drive with dealing and deals while building a dedicated internet based local area.

Conclusion

Advanced promotion is at this point not discretionary for internet business organizations. By getting it and executing these procedures, you can make a hearty showcasing plan that draws in rush hour gridlock and increments deals as well as fabricates long haul client steadfastness. Whether you're simply beginning or hoping to develop your internet based business, computerized advertising is the way into your prosperity.

For more update follow our Linkedin Page: Linkedin

[techfinna]

Top 5 Selling Odoo Modules.

In the dynamic world of business, having the right tools can make all the difference. For Odoo users, certain modules stand out for their ability to enhance data management and operations. To optimize your Odoo implementation and leverage its full potential. 

That's where Odoo ERP can be a life savior for your business. This comprehensive solution integrates various functions into one centralized platform, tailor-made for the digital economy. 

Let’s drive into 5 top selling module that can revolutionize your Odoo experience:

Dashboard Ninja with AI, Odoo Power BI connector, Looker studio connector, Google sheets connector, and Odoo data model.

1. Dashboard Ninja with AI: 

Using this module, Create amazing reports with the powerful and smart Odoo Dashboard ninja app for Odoo. See your business from a 360-degree angle with an interactive, and beautiful dashboard.

Some Key Features:

Real-time streaming Dashboard

Advanced data filter

Create charts from Excel and CSV file

Fluid and flexible layout

Download Dashboards items

This module gives you AI suggestions for improving your operational efficiencies.

2. Odoo Power BI Connector:

This module provides a direct connection between Odoo and Power BI Desktop, a Powerful data visualization tool.

Some Key features:

Secure token-based connection.

Proper schema and data type handling.

Fetch custom tables from Odoo.

Real-time data updates.

With Power BI, you can make informed decisions based on real-time data analysis and visualization.

3. Odoo Data Model: 

The Odoo Data Model is the backbone of the entire system. It defines how your data is stored, structured, and related within the application.

Key Features:

Relations & fields: Developers can easily find relations ( one-to-many, many-to-many and many-to-one) and defining fields (columns) between data tables. 

Object Relational mapping: Odoo ORM allows developers to define models (classes) that map to database tables.

The module allows you to use SQL query extensions and download data in Excel  Sheets.

4. Google Sheet Connector:

This connector bridges the gap between Odoo and Google Sheets.

Some Key features:

Real-time data synchronization and transfer between Odoo and Spreadsheet.

One-time setup, No need to wrestle with API’s.

Transfer multiple tables swiftly.

Helped your team’s workflow by making Odoo data accessible in a sheet format.

5.  Odoo Looker Studio Connector:

Looker studio connector by Techfinna easily integrates Odoo data with Looker, a powerful data analytics and visualization platform.

Some Key Features:

Directly integrate Odoo data to Looker Studio with just a few clicks.

The connector automatically retrieves and maps Odoo table schemas in their native data types.

Manual and scheduled data refresh.

Execute custom SQL queries for selective data fetching.

The Module helped you build detailed reports, and provide deeper business intelligence.

 These  Modules will improve analytics, customization, and reporting. Module setup can significantly enhance your operational efficiency. Let’s embrace these modules and take your Odoo experience to the next level. 

Need Help?

I hope you find the blog helpful. Please share your feedback and suggestions.

For flawless Odoo Connectors, implementation, and services contact us at 

info@techfinna.com Or www.techneith.com  

[xettle-technologies]

How AI is Reshaping the Future of Fintech Technology

In the rapidly evolving landscape of financial technology (fintech), the integration of artificial intelligence (AI) is reshaping the future in profound ways. From revolutionizing customer experiences to optimizing operational efficiency, AI is unlocking new opportunities for innovation and growth across the fintech ecosystem. As a pioneer in fintech software development, Xettle Technologies is at the forefront of leveraging AI to drive transformative change and shape the future of finance.

Fintech technology encompasses a wide range of solutions, including digital banking, payment processing, wealth management, and insurance. In each of these areas, AI is playing a pivotal role in driving innovation, enhancing competitiveness, and delivering value to businesses and consumers alike.

One of the key areas where AI is reshaping the future of fintech technology is in customer experiences. Through techniques such as natural language processing (NLP) and machine learning, AI-powered chatbots and virtual assistants are revolutionizing the way customers interact with financial institutions.

Xettle Technologies has pioneered the integration of AI-powered chatbots into its digital banking platforms, providing customers with personalized assistance and support around the clock. These chatbots can understand and respond to natural language queries, provide account information, offer product recommendations, and even execute transactions, all in real-time. By delivering seamless and intuitive experiences, AI-driven chatbots enhance customer satisfaction, increase engagement, and drive loyalty.

Moreover, AI is enabling financial institutions to gain deeper insights into customer behavior, preferences, and needs. Through advanced analytics and predictive modeling, AI algorithms can analyze vast amounts of data to identify patterns, trends, and correlations that were previously invisible to human analysts.

Xettle Technologies' AI-powered analytics platforms leverage machine learning to extract actionable insights from transaction data, social media activity, and other sources. By understanding customer preferences and market dynamics more accurately, businesses can tailor their offerings, refine their marketing strategies, and drive growth in targeted segments.

AI is also transforming the way financial institutions manage risk and detect fraud. Through the use of advanced algorithms and data analytics, AI can analyze transaction patterns, detect anomalies, and identify potential threats in real-time.

Xettle Technologies has developed sophisticated fraud detection systems that leverage AI to monitor transactions, identify suspicious activity, and prevent fraudulent transactions before they occur. By continuously learning from new data and adapting to emerging threats, these AI-powered systems provide businesses with robust security measures and peace of mind.

In addition to enhancing customer experiences and mitigating risks, AI is driving operational efficiency and innovation in fintech software development. Through techniques such as robotic process automation (RPA) and intelligent workflow management, AI-powered systems can automate routine tasks, streamline processes, and accelerate time-to-market for new products and services.

Xettle Technologies has embraced AI-driven automation across its software development lifecycle, from code generation and testing to deployment and maintenance. By automating repetitive tasks and optimizing workflows, Xettle's development teams can focus on innovation and value-added activities, delivering high-quality fintech solutions more efficiently and effectively.

Looking ahead, the integration of AI into fintech technology is expected to accelerate, driven by advancements in machine learning, natural language processing, and computational power. As AI algorithms become more sophisticated and data sources become more diverse, the potential for innovation in  fintech software  is virtually limitless.

For Xettle Technologies, this presents a unique opportunity to continue pushing the boundaries of what is possible in fintech innovation. By investing in research and development, forging strategic partnerships, and staying ahead of emerging trends, Xettle is committed to delivering cutting-edge solutions that empower businesses, drive growth, and shape the future of finance.

In conclusion, AI is reshaping the future of fintech technology in profound and exciting ways. From enhancing customer experiences and mitigating risks to driving operational efficiency and innovation, AI-powered solutions hold immense potential for businesses and consumers alike. As a leader in fintech software development, Xettle Technologies is at the forefront of this transformation, leveraging AI to drive meaningful change and shape the future of finance.

[clickboxagency]

Building Brand Buzz: Social Media's Impact on E-commerce Marketing

In the vibrant landscape of Ecommerce Marketing, the collaboration between an Ecommerce digital marketing agency in Coimbatore and businesses has become pivotal for creating a lasting brand buzz. This synergy, fueled by eCommerce marketing services, orchestrates a strategic dance on the social media stage, redefining how brands connect with their audience and drive conversions.

1. Visual Identity with Precision:

An adept Ecommerce digital marketing agency in Coimbatore understands the essence of a compelling visual identity. Through platforms like Instagram and Pinterest, businesses can showcase their products with a finesse that captivates the audience. High-quality images and videos, curated by experts in eCommerce marketing services, weave a narrative that resonates and leaves a lasting impression.

2. Community Engagement and Connection:

Social media, under the guidance of an Ecommerce digital marketing agency, transforms into a dynamic community hub. Through strategic engagement, businesses can foster a sense of belonging, creating a community that transcends the transactional. E-Commerce marketing services infuse life into these interactions, making each comment, like, and share an opportunity for meaningful connection.

3. Seamless Product Discovery:

With a keen understanding of user behavior, an Ecommerce digital marketing agency in Coimbatore navigates social media as a gateway to product discovery. Leveraging targeted advertising and influencers, eCommerce marketing services ensure that products are not just seen but discovered, captivating audiences who might have otherwise remained elusive.

4. Real-Time Communication and Trust:

Social media's real-time communication capabilities, guided by eCommerce marketing services, establish a direct line between businesses and customers. Timely responses to queries and updates build trust, transforming a one-time transaction into an ongoing relationship.

5. User-Generated Content Magic:

eCommerce marketing services excel in encouraging customers to be brand ambassadors. Reviews, testimonials, and user-generated content breathe authenticity into the brand story. In the collaborative efforts of businesses and an Ecommerce digital marketing agency, this content becomes a powerful tool, instilling trust and credibility.

6. Integration of Social Commerce:

The integration of social commerce, skillfully executed by an Ecommerce digital marketing agency, reshapes the buying journey. On platforms like Facebook and Instagram, seamless shopping experiences are crafted, streamlining the path from discovery to purchase and enhancing conversion rates.

7. Influencer Partnerships for Impact:

eCommerce marketing services recognize the influence of partnerships with social media influencers. Coordinated efforts with influencers who align with the brand's identity bring authenticity and a personal touch to product endorsements, influencing purchasing decisions organically.

8. Data-Driven Insights for Optimization:

Social media analytics, wielded by an Ecommerce digital marketing agency in Coimbatore, provide invaluable insights. In the hands of eCommerce marketing services, this data-driven approach refines strategies, tailoring offerings to the unique preferences of the target audience.

In the realm of Ecommerce Marketing, the harmonious integration of an Ecommerce digital marketing agency in Coimbatore and eCommerce marketing services propels brands beyond mere transactions. It is a creative collaboration that transforms every engagement into an opportunity to craft an immersive brand experience, capturing the hearts of today's discerning digital consumers.

[thehenrythomas]

BENEFITS OF SEARCH ENGINE OPTIMIZATION YOU NEED TO KNOW

SEO is the method of optimizing content that can be explored through the outcomes of a search engine. Web pages are like Modern-Era libraries. They store documents on websites rather than stocking physical books. When you type a question into a web browser, it checks its database of all the pages and tries to show the most useful decisions. To do so, it utilizes an algorithm that executes a search, indexing, and ranking. Nothing understands exactly how these frameworks operate.

Here are most compelling SEO benefits are mentioned below:

Offers an Enhanced User Experience

There are different ways to make your website better and improve user experience. It includes offering appropriate information to the audience, related pictures, or videos to support text, easy-to-follow website content, and a mobile-friendly website setup. It all leads to improved client experience.

An SEO expert can help you exactly with your SEO requirements. When you do not get leads from your SEO strategies, then you will need to review your practices. 

Prevents Cost for Paid Ads

Google’s ethical results are based mostly on what is described to be the most matching outcome for any individual query.

This means it will continue to draw traffic to the website for months or years after you post it until you have built a page that perhaps the web browser finds worthy of guiding its users to. Exploring and making high-quality content, yet, calls for an expense. 

Boosts Content Sharing on Social Media

 SEO plays a main part in what you see on social media. User-shared content on social networking sites is directly linked to individual SEO rules such as the title tags and meta definitions.

 An SEO strategist, in a meeting with your advertising and promotions team, will help you guide this method. 

Increased site usability

 To make your website easier to navigate for search engines, SEO helps to make your website more navigable for users as well. SEO consists of rearranging the site’s architecture and connections to make pages within the website more comfortable to discover and navigate.

It is not easy for search engines to crawl your sites and find pages makes it easier for users to find your information on your websites also.

The results are long-lasting

Investing in online ads will bring results, but they will last only as long as your investment does. Money spent on SEO will stay longer since it will get you some new clients over a longer period.

Your goal is for your business to take higher-ranking positions in SERP and stay there long enough to grow brand awareness and improve conversion.

Help your small find new clients

Did you know that the development of businesses that have a website is two times quicker than for those who are not online? No matter what kind of enterprise you are in, you should know that your customers are online, waiting to be found.

The main goal of marketing is to get you new clients. SEO does the same but uses various methods and strategies. It helps you reach a reasonable ranking that means more targeted visits and consequently – more clients!

If you need help applying these tips and are ready to watch your business expand as you grow a loyal fan base, then it is propounded to work with the experts of an SEO company in Chandigarh.

[proxysql]

In today’s digital era, database performance is critical to the overall speed, stability, and scalability of modern applications. Whether you're running a transactional system, an analytics platform, or a hybrid database structure, maintaining optimal performance is essential to ensure seamless user experiences and operational efficiency.

In this blog, we'll explore effective strategies to improve database performance, reduce latency, and support growing data workloads without compromising system reliability.

1. Optimize Queries and Use Prepared Statements

Poorly written SQL queries are often the root cause of performance issues. Long-running or unoptimized queries can hog resources and slow down the entire system. Developers should focus on:

Using EXPLAIN plans to analyze query execution paths

Avoiding unnecessary columns or joins

Reducing the use of SELECT *

Applying appropriate filters and limits

Prepared statements can also boost performance by reducing parsing overhead and improving execution times for repeated queries.

2. Leverage Indexing Strategically

Indexes are powerful tools for speeding up data retrieval, but improper use can lead to overhead during insert and update operations. Indexes should be:

Applied selectively to frequently queried columns

Monitored for usage and dropped if rarely used

Regularly maintained to avoid fragmentation

Composite indexes can also be useful when multiple columns are queried together.

3. Implement Query Caching

Query caching can drastically reduce response times for frequent reads. By storing the results of expensive queries temporarily, you avoid reprocessing the same query multiple times. However, it's important to:

Set appropriate cache lifetimes

Avoid caching volatile or frequently changing data

Clear or invalidate cache when updates occur

Database proxy tools can help with intelligent query caching at the SQL layer.

4. Use Connection Pooling

Establishing database connections repeatedly consumes both time and resources. Connection pooling allows applications to reuse existing database connections, improving:

Response times

Resource management

Scalability under load

Connection pools can be fine-tuned based on application traffic patterns to ensure optimal throughput.

5. Partition Large Tables

Large tables with millions of records can suffer from slow read and write performance. Partitioning breaks these tables into smaller, manageable segments based on criteria like range, hash, or list. This helps:

Speed up query performance

Reduce index sizes

Improve maintenance tasks such as vacuuming or archiving

Partitioning also simplifies data retention policies and backup processes.

6. Monitor Performance Metrics Continuously

Database monitoring tools are essential to track performance metrics in real time. Key indicators to watch include:

Query execution time

Disk I/O and memory usage

Cache hit ratios

Lock contention and deadlocks

Proactive monitoring helps identify bottlenecks early and prevents system failures before they escalate.

7. Ensure Hardware and Infrastructure Support

While software optimization is key, underlying infrastructure also plays a significant role. Ensure your hardware supports current workloads by:

Using SSDs for faster data access

Scaling vertically (more RAM/CPU) or horizontally (sharding) as needed

Optimizing network latency for remote database connections

Cloud-native databases and managed services also offer built-in scaling options for dynamic workloads.

8. Regularly Update and Tune the Database Engine

Database engines release frequent updates to fix bugs, enhance performance, and introduce new features. Keeping your database engine up-to-date ensures:

Better performance tuning options

Improved security

Compatibility with modern application architectures

Additionally, fine-tuning engine parameters like buffer sizes, parallel execution, and timeout settings can significantly enhance throughput.

[webigg02]

5 Powerful Ways Webigg Technology Uses AI to Enhance Your Search Performance

At Webigg Technology, we believe in blending innovation with precision — and Artificial Intelligence (AI) is at the heart of that transformation. From understanding user behavior to streamlining keyword strategy, AI enables smarter, faster, and more effective SEO practices.

Here are five impactful ways AI is helping Webigg Technology and its clients amplify their search engine performance and dominate digital visibility:

🔍 1. Smarter Keyword Discovery

Identifying the right keywords is the foundation of any SEO campaign. With AI-driven keyword tools, Webigg Technology helps uncover high-performing keywords in your niche by analyzing:

Search volume & difficulty

User intent

Competitive gaps

Trending queries

We don’t stop at basic research. Our systems also analyze your competitors’ strategies to find missed opportunities and give you a keyword edge that’s both data-backed and revenue-oriented.

Manual keyword analysis is time-consuming — AI makes it real-time, actionable, and scalable.

📱 2. Mobile Optimization Through AI Insights

Today, over 60% of searches come from mobile devices. At Webigg Technology, we use AI to optimize content and user experience specifically for smartphones and tablets.

AI monitors user interactions and bounce rates

Tracks device-specific behavior

Offers personalized content delivery

Features like AI-powered chatbots not only improve responsiveness but also increase dwell time and engagement by providing instant support and guidance on mobile platforms.

User experience (UX) drives SEO, and AI helps us deliver mobile-first strategies that win.

🗣️ 3. Advanced Text & Voice Search Optimization

Search is no longer limited to typing. With the rise of voice-enabled assistants like Alexa, Siri, and Google Assistant, AI is changing the way people search — and how we optimize.

Webigg Technology integrates Natural Language Processing (NLP) to:

Understand and respond to voice queries

Optimize content for long-tail, question-based phrases

Improve contextual search relevance

AI learns how users speak and search differently across platforms, helping us tailor content to match real user conversations — not just keywords.

✍️ 4. AI-Driven Content Creation & Optimization

AI tools assist Webigg Technology’s content strategists in creating smarter, sharper content. Here’s how:

Generate topic ideas based on real-time search trends

Suggest link-building opportunities

Analyze readability, structure, and tone

Recommend keywords for maximum SEO value

Visual elements like infographics, comparison tables, and AI-curated visuals improve engagement and time-on-page. AI also predicts what your audience is likely to search next, letting us guide users through a seamless journey.

📈 5. SEO Automation & Scaling

As your business grows, so should your SEO. AI makes scaling effortless. Webigg Technology uses AI-powered SEO tools to:

Perform automated site-wide content audits

Detect and resolve duplicate content

Track and fix technical SEO issues

Continuously optimize on-page SEO in real-time

Whether you're managing 10 pages or 10,000, AI enables consistent performance, accuracy, and ROI. This frees up your team to focus on growth, branding, and conversion.

🚀 Final Thoughts

Artificial Intelligence is no longer the future of SEO — it’s the present. At Webigg Technology, we’ve embraced AI to deliver cutting-edge solutions that help businesses outrank competitors, improve user experience, and drive measurable results.

From keyword research to mobile UX, from voice search to content creation, our AI-enhanced strategies ensure your digital presence isn’t just seen — it’s felt.

📞 Ready to Transform Your SEO with AI?

Let Webigg Technology elevate your search strategy using smart automation, intelligent insights, and creative execution.

📧 Email us: info@webigg.com 📞 Call us: +1 424 570 3050 🌐 Visit: www.webigg.com

Get your FREE SEO and Marketing Analysis Report — no strings attached.

For more details on our products and services, please feel free to visit us at: Web design, Website design, Hire Dedicated Resources & Offshoring Services, CRM Solutions.

Please feel free to visit us at:https://webigg.com/

[viratsteelspecial-blog]

Virat Special Steels, INDIA! Your Trusted Partner in Special Steels

VIRAT SPECIAL STEELS PVT. LIMITED , INDIA., we are proud to be one of the largest importers, exporters, and stockists of Die Blocks, Tool Steels, Die Steels, Special Steels, and Alloy Steels.

With over five decades of experience, we maintain the biggest steel yards and a high level of inventory from the world’s leading manufacturers like Swiss Steel DEW, NLMK Verona, Vitkovice, Somers Forge, and Villares Metals.

We are in this business for the last about more than Five Decades, and have been dealing with large number of forging units. The products, we deal in are specifically engineered to extend life service, save time and provide optimal performance to our customers.

Product List

DIE STEEL ( HH 370 - 410 BHN ) DIN-1.2714 / AISI L6 )

HOT WORK STEELS (DIN 2343, 2344 / AISI H11, H13)

PLASTIC MOULD STEELS (DIN 2738, 2311 , AISI P 20 )

HIGH SPEED STEELS (DIN 3243 , 3343 / AISI M2 , M35)

HCHCr. (DIN 2379 , 2080 / AISI D2 , D3)

ALLOY STEELS, EN-SERIES ETC.

Our products are specifically engineered to extend service life, save time, and provide optimal performance. You can rely on us for accurate and timely service on our part to process and execute your orders to match your satisfaction.

Virat Special Steels, INDIA! https://www.viratsteels.com/

📞 Contact us today to learn more about how we can support your business! https://www.viratsteel.in/special-steel-supply-networks/

Any further queries feel free to contact us : 🌐https://www.viratsteels.com/ 📬 info@viratsteels.com ☎+91 98140-21775

[cheersdroplucy]

How I Automated 80% of My Dropshipping Business Using AI Tools

When the rise of e-commerce began accelerating in the early 2020s, it seemed like anyone could launch an online store and start earning passively with minimal effort. But behind the scenes, those running a dropshipping business quickly discovered the reality: countless hours spent on product research, customer support, order tracking, supplier communication, and marketing execution. The model still held its appeal — low overhead, no inventory risk — but the daily grind made scaling difficult without more hands or more time.

By 2025, artificial intelligence has transformed that reality. Automation is no longer just a time-saver; it’s a competitive edge. Over the past year, I systematically replaced or enhanced the most repetitive parts of my dropshipping operations with AI-powered tools. The result? A leaner, more efficient business that runs 80% without my direct involvement — leaving more time to focus on long-term strategy and brand development.

the turning point: why automation became necessary

Like many, I started my dropshipping journey full of energy and optimism. I chose trending niches, tested multiple ad creatives, and even handled customer emails personally in the beginning. But as sales scaled, so did complexity. Product updates, ad management, and refund requests were eating into hours I could have spent finding new opportunities or improving customer experience. That’s when I started identifying patterns in what I was doing manually every day — patterns AI could easily handle.

discovering the time-eaters

Product research turned out to be one of the biggest time drains. Every week I’d dig through marketplaces, filter by trending tags, compare reviews, and manually validate product potential. With AI, this changed dramatically. Tools now scan real-time search trends, analyze what’s selling well in each category, and even predict future winners. I used these insights to add popular products to my store faster than competitors and adjust listings based on seasonality or market shifts.

writing product descriptions no longer took hours

Creating engaging product descriptions was another time-intensive task. With the help of AI copy tools, I generated SEO-optimized titles and persuasive bullet points in seconds. These tools even adapted tone and structure based on my store’s brand voice. Of course, I still reviewed and fine-tuned the content, but 90% of the heavy lifting was done. This freed up hours every week while maintaining consistency across listings.

scaling customer service without extra hires

Customer support is critical in any dropshipping business, especially when shipping times vary or orders get delayed. Instead of outsourcing to a team, I integrated a chatbot powered by natural language processing. It now handles about 70% of customer queries — tracking numbers, return instructions, and FAQs — with only complex issues escalated to my inbox. The bot learns from interactions over time, meaning responses become more accurate and helpful.

social media content generation simplified

Staying active on social platforms is essential for brand awareness, but creating new posts daily is exhausting. AI image and video generators helped me repurpose product videos into short clips with trending captions and viral hooks. I also used scheduling tools that suggested optimal posting times based on audience engagement history, allowing me to batch content creation in advance while maintaining visibility.

ad campaigns became smarter and less risky

Paid ads were once a guessing game, with multiple A/B tests and inconsistent results. With AI ad tools, I now upload a set of creatives, and the system automatically adjusts copy, audience targeting, and budget allocation based on performance in real time. This not only improved my return on ad spend but also significantly reduced wasted ad dollars on underperforming campaigns.

backend efficiency through order and inventory automation

Order management was another area that benefited from automation. With tools integrated into my store, customer orders sync instantly to the supplier, and tracking numbers are updated automatically. Inventory levels are monitored live, and I receive alerts when stock gets low. For products sourced through platforms like Cheersdrop, the system ensures faster fulfillment and better visibility, helping reduce customer complaints due to stock issues.

analytics and decision-making got faster and sharper

AI-powered dashboards now give me daily snapshots of what’s working and what’s not — from sales spikes to abandoned cart rates. Instead of combing through spreadsheets, I get actionable insights within minutes. This has helped me launch new collections of popular products at the right time and pull underperforming items quickly before they hurt my conversion rates.

balancing automation with the human touch

Even with all the automation, there are areas where a personal touch still matters. Brand storytelling, community building, and high-level product curation aren’t easily replicated by machines. I still handle creative direction, supplier relationship management, and long-term marketing strategy personally. Automation allows me to do these high-impact tasks with more focus and clarity.

the results: less burnout, more scalability

Within months of implementing these tools, the change was obvious. I was working fewer hours, making faster decisions, and responding to customer needs more effectively. More importantly, the business became scalable. Rather than being stuck in the cycle of operational work, I could finally test new offers, expand into other categories, and even explore building a secondary store under a different niche.

future outlook: where automation is heading next

Looking ahead, the dropshipping business model is only becoming more technology-driven. AI agents are being developed that can autonomously manage entire storefronts — responding to trends, adjusting pricing, and handling outreach. While it’s unlikely that human oversight will ever disappear completely, the trend is clear: those who embrace automation early are positioning themselves ahead of the curve.

final thoughts

In a space where timing, relevance, and customer experience are everything, automation doesn’t replace strategy — it enables it. With the rise of e-commerce showing no signs of slowing down, competition is only growing. But so is the opportunity. By using AI to handle the repetitive and predictable, you free up time and mental bandwidth to focus on growth, branding, and connection. That’s where the real value lies. The tools are here, and for those willing to learn and adapt, they can redefine what it means to run a dropshipping business in 2025 and beyond.