Suresh Kumar Prasad

I’m Suresh Kumar Prasad, CMD of Vidushi Infotech SSP Pvt. Ltd. I share insights on IT innovation, business strategy, and driving digital growth globally.

[sureshkumarprasad]

Top Tips for Effective App Store Optimization (ASO) in 2025

By Suresh Kumar Prasad

You’ve built an amazing mobile app. It works beautifully, solves a real problem, and your team is excited to launch. But here’s the hard truth: if no one finds it, no one uses it.

That’s where App Store Optimization (ASO) comes in—and in 2025, it’s more competitive and algorithmically driven than ever.

At Vidushi Infotech SSP Pvt. Ltd., we’ve helped clients across industries boost their app visibility and downloads with proven ASO strategies tailored for the Apple App Store and Google Play. Whether you’re launching your first app or refreshing an existing one, here’s what matters most.

Start With Keyword Research—Then Localize It

ASO begins with understanding how your target audience searches.

Use tools like AppTweak, Sensor Tower, or Google Keyword Planner to identify:

High-volume, low-competition keywords

Competitor app keyword gaps

Long-tail variations (e.g. “daily fitness planner” vs. “fitness app”)

But don’t stop there. If you serve global users, localize your keywords into native languages. We’ve seen app installs double simply by translating metadata into Hindi, Arabic, or Spanish.

Write for Humans, Not Just Algorithms

Yes, your title and subtitle should include keywords—but they also need to be readable.

Compare:

Bad: “Best Workout App Gym Tracker Running Steps Calories”

Good: “Run Tracker: Daily Steps & Home Workouts”

Your app description should:

Lead with benefits, not features

Use short paragraphs and bullet points

Highlight social proof (e.g. “used by 500K+ runners”)

End with a strong call to action

We often A/B test descriptions to find what converts best.

Design Eye-Catching App Icons and Screenshots

In both Google Play and the App Store, users often decide in 3 seconds. Visuals matter.

Use bold, readable icons that pop against dark and light themes

Include benefit-driven text in screenshots (“Track Progress”, “Sync with Smartwatch”)

Feature actual UI—not just mockups

Update visuals seasonally (e.g., holiday themes, new year refreshes)

We helped one e-commerce client increase install rate by 28% with a simple visual redesign.

Collect (and Respond to) Reviews—Fast

High ratings and positive reviews directly impact your ranking.

Encourage feedback using:

In-app prompts (after success moments, like completing a task)

Post-transaction emails or push notifications

Incentives (e.g. “Review us and get 10% off your next order”)

Always respond to reviews—especially negative ones. Google and Apple reward apps that engage with users.

Don’t Ignore the Video Preview

Your app preview video is prime real estate.

Best practices:

Keep it under 30 seconds

Show actual app usage (not animations)

Add captions for silent viewing

Focus on value in the first 5 seconds

Think of it like a trailer—not a tutorial.

Track, Measure, Adapt

Install metrics are only part of the picture. Track:

Conversion rate (store views to installs)

Retention rate (1-day, 7-day, 30-day)

Crash rate (app stability affects ranking)

Revenue per user (if monetized)

We use Firebase, Mixpanel, and App Store Connect analytics to monitor and adapt continuously.

The 2025 Difference: AI and Personalization

App stores are using AI to personalize listings by device type, user history, and behavior. That means:

Your listing may look different to different users

Engagement (not just installs) increasingly drives visibility

Machine-readable assets (like structured metadata) matter more

We optimize for these invisible factors just as much as the visible ones.

Closing Thought

In a crowded marketplace, App Store Optimization isn’t optional—it’s foundational.

At Vidushi Infotech SSP Pvt. Ltd., we treat ASO as part of product strategy, not just marketing. And as a nominee for the 2025 Go Global Awards hosted by the International Trade Council in London, we’re proud to help businesses in India and beyond put their best digital foot forward.

[sureshkumarprasad]

Cloud vs On‑Premise ERP: Pros, Cons, and Hybrid Models

By Suresh Kumar Prasad

If you're a growing business looking to modernize operations, choosing between a cloud-based ERP and an on-premise one can feel like standing at a digital crossroads. Both have their place—but your destination (and your baggage) will determine the best route.

At Vidushi Infotech SSP Pvt. Ltd., we’ve guided manufacturers, retailers, and service providers through this exact decision. And the truth? It’s not always “cloud or nothing.” Sometimes, the smartest option is a blend.

Let’s unpack the options so you can choose what’s right—not just what’s trendy.

Cloud ERP: The Now (and the Future)

Cloud-based ERPs like SAP S/4HANA Cloud, Oracle ERP Cloud, NetSuite, and Odoo SaaS are hosted on vendor or third-party infrastructure. That means:

✅ Pros:

Quick deployment (no hardware setup)

Pay-as-you-go pricing

Easy remote access and mobile support

Automatic updates and feature rollouts

Better scalability for global operations

🚫 Cons:

Less control over customization

Ongoing subscription costs

Potential data residency concerns (depending on your industry)

Ideal for: Fast-scaling businesses, global teams, remote-friendly setups, startups needing rapid agility

On-Premise ERP: Tried, Tested, Controlled

On-premise ERPs (traditional SAP, Microsoft Dynamics AX, Oracle E-Business Suite) are installed and run on local servers. That means:

✅ Pros:

Maximum data control and security (great for compliance-heavy industries)

Highly customizable to specific workflows

No dependency on internet connectivity

One-time licensing costs

🚫 Cons:

Longer implementation times

Higher up-front costs (servers, licenses, IT staff)

Limited mobility

You manage your own backups, patches, and upgrades

Ideal for: Large enterprises, regulated industries (banking, pharma), companies with legacy integrations or complex infrastructure

Hybrid ERP: The Best of Both Worlds?

More and more businesses are choosing hybrid models—running core ERP modules on-premise while moving others (CRM, HR, analytics) to the cloud.

Hybrid is a strategic choice when you want:

Data sovereignty for finance, but flexibility for sales

Gradual migration over “big bang” disruption

To preserve custom legacy systems while layering on modern tools

We helped a manufacturing client in Pune keep their production ERP on-prem while migrating inventory and reporting modules to NetSuite Cloud. The result? Cost savings, modern UX, and zero downtime.

Key Factors to Consider

When guiding clients through ERP decisions, we assess:

Team size and locations (Is remote access essential?)

Budget structure (CapEx vs OpEx preference?)

Existing infrastructure (Will cloud save or duplicate costs?)

Data sensitivity (Is local storage required for compliance?)

IT skillset (Do you have in-house admin talent?)

Growth plans (Will today’s system still fit tomorrow?)

No ERP lives in a vacuum. It has to connect to your CRM, finance stack, support tools, and analytics layer—so integration ability matters too.

Trends to Watch in 2025

Multi-cloud ERP environments are growing—some companies use AWS for dev, Azure for prod

AI is improving forecasting, procurement, and reporting—especially in cloud ERP

Headless ERP (API-first design) is rising, enabling more modular, user-friendly interfaces

We’re already helping clients build these future-ready stacks, and the results speak for themselves.

Our Recommendation?

Start with your people and processes—not the software. Then choose the platform that supports them best.

We offer ERP discovery workshops that help clients define current gaps, integration needs, user pain points, and future goals. From there, whether we recommend Odoo Cloud, Oracle Fusion, or SAP S/4HANA on-prem—it’s always strategy-first.

Closing Thought

Cloud or on-premise isn’t a fight—it’s a fit.

At Vidushi Infotech SSP Pvt. Ltd., we design ERP solutions that fit how you work, where you work, and where you’re going. As a nominee for the 2025 Go Global Awards hosted by the International Trade Council in London, we’re proud to help businesses around the world make smarter choices with confidence.

[sureshkumarprasad]

Custom Web App Development: From Concept to Launch

By Suresh Kumar Prasad

Not every business fits into a template—and neither should your tech stack. Off-the-shelf software can get you started, but when growth demands tailored workflows, unique user experiences, or specific integrations, it’s time to build custom.

At Vidushi Infotech SSP Pvt. Ltd., we specialize in crafting web applications that don’t just work—they work for you. Whether it’s a product portal, internal dashboard, or customer-facing app, we take ideas from concept to reality with speed, structure, and scale.

Here’s how we do it—and how you can too.

Start With “Why” Not “What”

Before touching a single line of code, we dig into business context:

What problem are we solving?

Who are the users, and what do they struggle with?

What’s the success metric—speed, accuracy, adoption, revenue?

For one logistics client, their “simple” need for a shipment tracker evolved into a full operations portal. Understanding the “why” early helped us plan for scale—and save future rebuilds.

UX/UI Strategy: Design for Real Use

Great apps feel obvious. But behind that simplicity is deep UX thinking.

We focus on:

User personas and user journeys

Wireframing and prototyping before final design

Mobile-first layouts with progressive disclosure

Accessibility (WCAG) and localization support

Our in-house designers collaborate closely with developers so what’s designed gets delivered—with no surprises.

Choose the Right Stack for the Job

We don’t force one tech stack for every project. Instead, we pick based on needs:

Frontend: React, Angular, or Vue (for responsiveness)

Backend: Node.js, Laravel, Django, or .NET Core

Database: PostgreSQL, MongoDB, MySQL, or Firebase

Hosting: AWS, Azure, DigitalOcean, or GCP

Need real-time updates? We use sockets. Multi-tenant SaaS? We use secure subdomain architectures. It’s all about fit.

Agile Development with Transparency

Every project is broken into two-week sprints. Each sprint includes:

Planning and estimation

Daily standups

Mid-sprint demos

QA testing

Feedback loops

Clients see progress in real time via dashboards, Git commits, and staging links. There’s no “black box” here—just clarity.

Security and Compliance from Day One

We bake in best practices early:

Role-based access control (RBAC)

Secure API authentication (OAuth2, JWT)

Input validation and sanitation

Audit trails and logging

SSL, encryption, and GDPR readiness

One B2B client in Europe needed GDPR + ISO 27001 compliance baked into their app. We delivered—without slowing them down.

Testing: Don’t Ship What You Haven’t Clicked

Our QA process includes:

Manual scenario testing

Automated unit and integration tests

Load testing for performance

Mobile browser testing across devices

User acceptance testing (UAT)

And yes, we test from the user’s point of view—not just the developer’s.

Launch (and What Comes After)

Go-live is exciting, but we don’t vanish after launch. We stay with you for:

Ongoing bug fixes

Performance tuning

Version upgrades

New feature rollouts

Analytics and user behavior tracking

Our clients love that we offer both build and evolve—because software is never “done.”

Real‑World Impact

For a wellness platform, we built a full booking + telehealth portal in 100 days—integrated with Stripe, WhatsApp, and Salesforce. The result? 5x user retention and a 300% ROI in the first quarter.

And as a nominee for the 2025 Go Global Awards, hosted by the International Trade Council in London, we’re proud to help companies launch digital tools that create global impact.

Closing Thought

Custom doesn’t have to mean complex. With the right partner and process, you can build exactly what your users need—nothing more, nothing less.

At Vidushi Infotech SSP Pvt. Ltd., we turn bold ideas into usable, secure, scalable web applications—faster than you think.

[sureshkumarprasad]

Video Marketing ROI: How to Measure What Matters

By Suresh Kumar Prasad

Video is no longer a “nice-to-have” in your digital strategy—it’s the centerpiece. Whether it’s explainer videos, customer testimonials, product walkthroughs, or Instagram reels, video is everywhere. But here’s the real question for marketers and business owners alike: how do you measure whether it’s working?

At Vidushi Infotech SSP Pvt. Ltd., we’ve seen clients double conversion rates with the right video. But we’ve also seen money wasted on flashy visuals with no business impact. The difference? Knowing what to measure—and why.

Here’s a practical guide to understanding video marketing ROI in 2025.

Set Clear Goals (Before You Hit Record)

Before diving into scripts, actors, or animation styles, ask: what should this video do?

Your goals could include:

Brand awareness (more reach)

Lead generation (more signups)

Sales enablement (better conversion)

Customer education (lower churn)

SEO impact (longer time on site)

A customer testimonial, for example, is great for building trust—but won’t always drive immediate traffic. Each format serves a purpose.

Go Beyond Views

It’s tempting to track video performance like social media: views, likes, and shares. But those are surface-level metrics. To truly measure ROI, look deeper:

View-through rate (how much of the video was watched?)

Click-through rate (did it drive traffic or action?)

Conversion rate (did viewers become leads or buyers?)

Assisted conversions (did they view before making a decision?)

Retention lift (did support videos reduce churn?)

At Vidushi, we helped a B2B SaaS client link video tutorials to customer support tickets. Result: a 23% drop in repeat queries and a 14% boost in customer satisfaction.

Add CTAs—And Track Them

A video without a clear call to action (CTA) is a missed opportunity.

Use:

Clickable buttons for “Book a Demo,” “Learn More,” or “Buy Now”

End-screen links in YouTube

QR codes on videos embedded in offline campaigns

Unique URLs or UTM tags to measure source-specific conversions

We track CTA performance in tools like HubSpot, Wistia, and Google Analytics to tie video efforts back to real outcomes.

Segment by Funnel Stage

Top-of-funnel videos (brand stories, how-it-works explainers) aren’t meant to convert immediately. Middle-funnel videos (case studies, product demos) nudge intent. Bottom-funnel videos (tutorials, comparisons) drive decisions.

Treat each segment differently:

Track view counts and engagement for TOFU

Track lead form fills for MOFU

Track sales conversions for BOFU

One client increased sales-qualified leads by 42% simply by aligning video topics with the buyer’s journey.

Use Heatmaps and Drop-off Data

Where do people stop watching? What scenes keep them hooked?

Platforms like Vimeo Pro and YouTube Studio show:

Viewer retention graphs

Heatmaps of click interactions

Rewatch zones (where users scrub back)

This helps optimize future scripts and formats. (Pro tip: hook your audience within the first 5 seconds. Don’t waste time.)

Repurpose and A/B Test

To maximize ROI:

Slice long videos into shorter social clips

Turn scripts into blog posts or carousels

A/B test different thumbnails, CTAs, or intros

Translate into multiple languages for reach

We helped a healthcare tech client localize one explainer video into five languages, increasing global leads by 60%—without creating net-new content.

Benchmark Against Business Outcomes

Ultimately, video success should tie back to metrics like:

Revenue influenced or closed

Cost per acquisition (CPA)

Customer lifetime value (CLV)

Employee training efficiency (if internal use)

As a nominee for the 2025 Go Global Awards, hosted by the International Trade Council in London, we believe creative excellence must meet measurable impact.

Closing Thought

Video marketing isn’t just about going viral—it’s about driving value. And when done right, it’s one of the highest-ROI investments your brand can make.

At Vidushi Infotech SSP Pvt. Ltd., we don’t just make content—we make content work.

[sureshkumarprasad]

Brand Reputation Management in the Digital Age: Strategies That Work

By Suresh Kumar Prasad

In a world where one tweet, one review, or one viral video can define public perception, brand reputation is no longer just a PR concern—it’s a core business function. At Vidushi Infotech SSP Pvt. Ltd., we’ve seen how proactive reputation management isn’t just about reacting to crises; it’s about building lasting trust across digital platforms.

Whether you’re a global SaaS company or a Pune-based startup, your online reputation is your digital handshake. So let’s break down how to manage it well.

Reputation Starts With Visibility

If your brand doesn’t appear on the first page of search results, users assume you don’t exist—or worse, that you’re not credible.

That’s why we recommend:

SEO-optimized company profiles on LinkedIn, Crunchbase, Clutch, and Google

Regular publishing of thought leadership content and case studies

Optimized schema markup so Google understands and surfaces your business info correctly

Controlling your narrative begins with showing up consistently where it matters.

Monitor Proactively, Not Reactively

You can’t manage what you can’t see. We help clients set up:

Google Alerts for brand and leadership names

Social listening tools like Brand24, Mention, or Sprout

Review platform notifications (G2, Trustpilot, Glassdoor, etc.)

This helps you catch both praise and problems early—before they spread.

Encourage Reviews (Yes, Even the Critical Ones)

Modern consumers trust peer reviews more than marketing copy. Encourage your happy customers to leave reviews—and don’t fear the occasional 3-star rating.

What matters is:

Responding thoughtfully to all reviews

Showing how you’ve improved

Avoiding canned, robotic replies

We’ve seen B2B clients actually win leads after handling a negative review transparently and with grace.

Manage Your Executive Presence

In 2025, leadership is part of the brand. That means:

Optimizing CEO and leadership LinkedIn profiles

Sharing company wins, team culture, and tech insights

Avoiding controversial takes unless aligned with company values

We coach clients on tone, frequency, and relevance of executive content to build trust without oversharing.

Handle Negative Mentions the Right Way

The worst strategy? Silence.

When something goes wrong:

Acknowledge the issue

Share what you’re doing to fix it

Move the conversation offline when appropriate

Document and share resolutions if it adds value

This not only reassures existing customers—it signals to future clients that you’re accountable.

Invest in Reputation-Resilient Content

Create content that protects and promotes your brand over time:

Case studies and testimonials

Team profiles and behind-the-scenes stories

Partnerships, awards, and certifications

CSR and sustainability initiatives

As a nominee for the 2025 Go Global Awards, hosted by the International Trade Council in London, we at Vidushi Infotech know how much weight third-party recognition can carry.

Don’t Let Your Employer Brand Lag Behind

What your team says online matters. Actively maintain:

Updated Glassdoor and AmbitionBox profiles

Employee spotlight features on LinkedIn

Transparent job descriptions and fair interview experiences

Happy teams build strong brands.

Final Thought

In the digital age, reputation isn’t just what people say about you—it’s what they find about you. By combining visibility, authenticity, and responsiveness, any company can build a brand people trust.

At Vidushi Infotech SSP Pvt. Ltd., we don’t just build software—we build confidence. And that starts with showing up as the company you claim to be.

[sureshkumarprasad]

AI‑Driven CRO: Increasing Conversions through Smart Optimizations

By Suresh Kumar Prasad

You’ve invested in ads, your site gets decent traffic, and your product is solid—so why aren’t more visitors converting?

The answer might lie in Conversion Rate Optimization (CRO)—and in 2025, that means using AI to turn guesswork into science. At Vidushi Infotech SSP Pvt. Ltd., we’ve seen how AI-driven CRO can unlock real growth by understanding what users want—even before they know it themselves.

Let’s explore how you can move the needle with smarter, faster, AI-enabled optimization.

What Is AI-Driven CRO?

Traditional CRO relies on A/B testing, user behavior tracking, and manual iteration. AI takes this a step further by:

Predicting user behavior using historical data

Personalizing content and layouts in real time

Identifying friction points faster than human analysis

Auto-generating optimization suggestions based on machine learning

It’s not about replacing the marketer. It’s about giving them superpowers.

Real-Time Personalization at Scale

Imagine a visitor lands on your e-commerce homepage. AI tracks their location, device, time of day, and past interactions—then dynamically displays:

Relevant products

Local currency and payment methods

A “just for you” offer based on their preferences

We helped a fashion retailer implement this via an AI personalization engine. The result? A 38% uplift in conversions from returning visitors within 60 days.

AI Heatmaps and Behavior Analytics

AI-based heatmaps don’t just show where users click—they analyze movement, hesitation, rage clicks, and exit behavior across cohorts.

We used this to identify that users on a client’s landing page were consistently ignoring a CTA because it blended into the background. AI flagged the drop-off zone, suggested visual contrast changes—and we saw a measurable bump in form submissions.

Smart A/B Testing: Test More, Wait Less

Traditional A/B testing often requires large sample sizes and long timelines. AI-driven multivariate testing lets you:

Test multiple changes (headline, image, button color) simultaneously

Predict winning variations faster using statistical modeling

Pause underperforming variants automatically

This means continuous optimization with less lag—and better ROI.

Copy and Design Recommendations from AI

At Vidushi Infotech, we integrate tools that analyze:

Reading grade level of copy

Emotional tone

Engagement predictions

This allows teams to adjust messaging based on audience segments. For example, an AI tool helped us revise a B2B landing page to focus more on outcomes than features—resulting in a 22% lift in demo requests.

AI Chatbots That Guide, Not Just Answer

Modern AI chatbots do more than handle support—they guide conversions by:

Answering objections instantly

Qualifying leads before handing off to sales

Nudging users through the funnel based on behavior triggers

One client saw a 4x increase in lead form completions after replacing a passive chatbot with an AI-driven one trained on historical sales FAQs.

—

Data Privacy + Transparency Still Matter

While AI tracks and learns, users need to feel secure. We always ensure:

Compliance with GDPR, CCPA, and local data laws

Transparent cookie usage and opt-in personalization

User control over their experience

AI must serve the user—not just the bottom line.

The Future of CRO Is Predictive, Not Reactive

Soon, AI will optimize landing pages mid-session, suggest new product bundles before you think of them, and even rewrite ad headlines in real-time based on click trends.

At Vidushi Infotech SSP Pvt. Ltd.—recently nominated for the 2025 Go Global Awards hosted by the International Trade Council in London—we’re helping clients embrace this future today.

Because more clicks are nice. But more conversions? That’s growth.

[sureshkumarprasad]

Responsive Web Design Best Practices for Mobile and Desktop

By Suresh Kumar Prasad

In 2025, users expect websites to load fast, look great, and work seamlessly—whether they’re browsing on a smartphone in Pune or a widescreen monitor in Toronto. Responsive web design is no longer a nice-to-have; it’s the standard.

At Vidushi Infotech SSP Pvt. Ltd., we’ve built hundreds of responsive websites—from e-commerce portals to ERP dashboards. And while tools and frameworks continue to evolve, some best practices remain timeless.

Here’s our distilled guide to building websites that look good and perform well on every screen.

Design Mobile-First (Not Mobile-Second)

We’ve officially crossed the tipping point—most users now visit websites on mobile first. That means your design process should start small, then scale up.

Mobile-first design helps:

Prioritize critical content

Simplify navigation

Improve load speed and usability

When we redesigned a travel booking platform last year, we began with a mobile prototype. By the time we got to desktop layouts, everything felt cleaner and more intentional.

Use Flexible Grids and Layouts

Forget fixed pixel widths. Use percentage-based widths, max-widths, and responsive containers to let elements adapt gracefully.

Frameworks like Tailwind CSS, Bootstrap, and Material UI are helpful—but only if you understand how their grid systems flex.

Tip: Test breakpoints at real-world screen widths (not just theoretical device sizes). A 768px breakpoint might behave differently on a cheap Android tablet versus an iPad Mini.

Prioritize Touch-Friendly Navigation

On mobile:

Make buttons big enough (minimum 44x44 pixels)

Space elements to avoid fat-finger clicks

Use sticky headers or hamburger menus to save space

We once increased a client’s mobile conversion rate by 18% just by making their checkout buttons more thumb-friendly. Small changes can be powerful.

Optimize Images Responsively

Images are often the heaviest assets on your site. Use:

srcset to serve different image sizes for different devices

WebP or AVIF formats to reduce file size without quality loss

Lazy loading (loading="lazy") to defer off-screen images

We also recommend compressing hero images to under 200KB. It’s a fine balance between aesthetics and speed.

Test Across Devices—Not Just Screen Sizes

Emulators are useful, but real-device testing is better. We test on:

Android phones (low-end and high-end)

iPhones (various screen sizes)

Tablets, laptops, and ultra-wide monitors

Different browsers (Safari, Chrome, Firefox, Edge)

Don’t assume just because it looks good on your MacBook it’ll look fine everywhere else.

Embrace Progressive Enhancement

Start with a baseline experience that works on any browser/device. Then add layers of enhancements:

JavaScript interactions

Hover effects

Retina images

If something fails (like a slow connection or older browser), the site should still function.

Accessibility matters here too. Alt text, keyboard navigation, contrast ratios—all contribute to a resilient, responsive experience.

Performance Is Part of Responsiveness

Fast-loading sites feel more responsive, period. That means:

Minify CSS and JavaScript

Use a content delivery network (CDN)

Reduce third-party scripts

Enable browser caching

We helped a client bring their page load time down from 6.5 seconds to 1.8—cutting bounce rate by nearly half.

Future-Proofing Your Front End

With foldable devices, dark mode preferences, and AI-generated layouts on the rise, responsive design is only getting more dynamic. But the core principles stay the same: adapt, prioritize, simplify.

At Vidushi Infotech SSP Pvt. Ltd., we apply these best practices across every web project—whether it's a custom app or a WordPress site. And as a 2025 Go Global Awards nominee, hosted by the International Trade Council in London, we’re proud to help brands meet users where they are: everywhere.

Because good design isn’t just about how it looks—it’s how it works.

[sureshkumarprasad]

Return‑to‑Work Program: Supporting Career Comebacks in Tech

By Suresh Kumar Prasad

In an industry that moves at lightning speed, taking a break can feel like falling off the edge. But at Vidushi Infotech SSP Pvt. Ltd., we believe that a pause in your career shouldn’t be the end of your journey in tech. In fact, it can be the beginning of something even better.

That’s the spirit behind our Return‑to‑Work Program—a structured, supportive initiative designed to help professionals (especially women, caregivers, and mid-career returnees) re-enter the tech workforce with confidence.

Let’s take a closer look at how we’re making comebacks not just possible, but powerful.

Why Returnships Matter

According to industry data, thousands of skilled professionals step away from their careers each year due to caregiving, health, relocation, or personal development. But when it’s time to come back, many face:

Gaps in technical fluency

Reduced confidence

Lack of updated tools/process knowledge

Hiring bias

Our program bridges that gap by offering an on-ramp back into the industry through real projects, mentorship, and learning.

Who Is It For?

We welcome candidates with experience in:

Software development

UI/UX design

QA and testing

Digital marketing

ERP/CRM systems

Project coordination

What matters most is attitude. We look for learners, not perfectionists. If you’ve taken a 6-month or 6-year break, you still have a place here.

How It Works

The program runs for 3 to 6 months and includes:

Skill refresh training (latest frameworks, tools, methodologies)

Pair programming or buddy projects

Mentorship from senior team members

Confidence-building workshops

Optional flexible or hybrid work models

Participants work on real client or internal projects—not sandbox exercises. And yes, it’s paid.

Outcomes That Matter

Nearly 80% of our returnship participants in the past two years were offered full-time roles within Vidushi Infotech. Others used the experience to launch freelance careers or join other top tech employers.

One of our proudest stories? A former Java developer who returned after an 8-year break—and now leads a team on an AI-powered ERP project. Her journey wasn’t “behind the curve.” It was just beginning.

Why Companies Should Care

Return-to-work isn’t charity—it’s strategy.

Organizations that embrace career returnees benefit from:

Broader talent pools

Higher loyalty and retention

Diverse perspectives

Stronger team empathy

In fact, several of our clients have adopted similar models after seeing the success of our internal program.

Our Broader Commitment to Inclusion

The returnship program is part of our larger Inclusion Charter at Vidushi Infotech, which includes:

Equal opportunity hiring

Unbiased performance evaluation

Wellness and upskilling programs

Recognition of diverse learning and working styles

As a nominee for the 2025 Go Global Awards, hosted by the International Trade Council in London, we’re proud to show the world that real innovation starts with people.

Because sometimes, the best comebacks happen when someone holds the door open.

#ReturnToWork #CareerComebacks #WomenInTech #InclusiveWorkplace #VidushiInfotech #GoGlobalAwards2025 #IndiaTech #ReSkill #ReturnshipProgram #DiversityInTech

[sureshkumarprasad]

Podcast Highlights: Insights from Our Latest Webinar on AI in Content

By Suresh Kumar Prasad

Let’s be honest—AI in content creation used to feel like a novelty. Now, in 2025, it’s nothing short of transformative. And if you caught our most recent Vidushi Infotech webinar (or podcast, for the audio-inclined), you know exactly what we mean.

We hosted an open, honest conversation about what AI means for content teams today: the good, the complicated, and the exciting. Whether you missed it or just want a refresher, here are the top takeaways from that discussion.

Spoiler: It’s not about AI replacing creativity—it’s about amplifying it.

From Drafting to Distribution: Where AI Fits

We broke down how AI is being used at every stage of the content pipeline:

Idea generation: AI tools suggesting headlines, outlines, or keywords

Content drafting: First-pass blog posts, video scripts, or product descriptions

Optimization: Real-time SEO scoring, grammar checks, tone matching

Repurposing: Converting long-form content into social media snippets or email campaigns

What stood out? AI doesn’t eliminate the need for human input. It eliminates the repetitive groundwork, freeing up time for strategy and creativity.

“Prompt Engineering” Is Now a Real Skill

One of our panelists (a digital strategist from our Resource Lab) shared how content writers at Vidushi Infotech now spend time learning how to structure prompts for AI models.

For example: Bad prompt → “Write a blog post on ERP.” Better prompt → “Write a 500-word blog post for CIOs on how cloud ERP improves scalability. Include 3 bullet points and a CTA.”

It’s about being specific, structured, and strategic. This new skill set is fast becoming part of job descriptions for marketers and content professionals.

Ethical Use of AI: The Human Checkpoint

We touched on concerns, too—because let’s face it, not everything AI touches turns to gold.

Key points:

Always disclose AI-generated content when appropriate

Fact-check for hallucinations or outdated data

Watch for unintended tone or bias

Use AI as a co-writer, not a ghostwriter

At Vidushi Infotech, we have internal guidelines and quality checks before anything AI-generated goes live. It’s a balance between speed and responsibility.

Personalization at Scale—Finally Achievable

One highlight from the webinar was a case study we shared: an e-commerce client using AI to generate dynamic product descriptions based on user behavior.

The result?

Increased session duration

Higher conversion on product pages

A more personalized shopping experience

AI made it possible to scale what used to be manual, one-off tasks. That’s a game-changer.

The Future? Collaborative Content Creation

Looking ahead, panelists agreed the real power lies in human-AI collaboration:

AI as a research assistant

Humans providing brand voice and nuance

AI streamlining edits

Humans building empathy and storytelling

In our view, content in 2025 isn’t AI vs humans. It’s humans using AI like an instrument—to craft smarter, faster, and deeper content.

If there was one message from the webinar, it was this:

“AI doesn’t remove your voice. It gives it more reach.”

We’re proud to be at the forefront of this shift at Vidushi Infotech SSP Pvt. Ltd., where our approach to digital strategy blends cutting-edge tools with real human insight. And as a nominee for the 2025 Go Global Awards, hosted by the International Trade Council in London, we’re committed to helping businesses navigate the new world of content creation—with clarity and confidence.

[sureshkumarprasad]

Why CMMI Level‑3 Matters: Our Quality Management Story

By Suresh Kumar Prasad

In the world of software services, buzzwords fly fast—“agile,” “ISO-certified,” “cloud-native,” and so on. But among these, there’s one term that quietly signals something powerful: CMMI Level‑3. If you’ve ever wondered what it really means—and why it matters—this article is for you.

At Vidushi Infotech SSP Pvt. Ltd., achieving Capability Maturity Model Integration (CMMI) Level‑3 wasn’t about checking boxes. It was about transforming how we work, deliver, and continuously improve. Here’s why it’s more than a certificate on a wall.

What is CMMI?

Developed by the Software Engineering Institute at Carnegie Mellon University, CMMI is a framework that helps organizations improve processes across product development, service delivery, and maintenance.

It has five maturity levels. Level‑3—Defined—means:

Processes are well-documented, standardized, and integrated

There is a proactive focus on quality and efficiency

Teams follow a consistent project lifecycle from planning to delivery

Continuous improvement is built into the culture

It’s not just about doing things right—it’s about doing the right things consistently.

Why We Chose the Journey

When we decided to pursue CMMI Level‑3, it wasn’t because a client demanded it. It was because we were scaling rapidly—and knew we needed a structured yet flexible approach to maintain delivery quality across multiple service lines.

Whether it's an ERP integration, a digital marketing campaign, or a cloud migration project, we wanted to ensure:

Predictability in timelines

Fewer surprises for clients

Better internal collaboration

Faster root cause analysis when issues arise

It was an investment in long-term trust.

What Changed Internally

CMMI Level‑3 pushed us to do a few things differently:

We created reusable process assets: templates, workflows, estimation models

We implemented formal peer reviews, audits, and retrospectives

We made knowledge sharing part of onboarding and team culture

We tracked metrics—not just deadlines or budgets, but defect density, effort variance, and customer satisfaction

It wasn't easy. Change never is. But the payoff was visible: smoother transitions, fewer escalations, and a more confident delivery team.

What It Means for Clients

If you’re working with a CMMI Level‑3 company, here’s what you can expect:

Consistent quality across projects

Well-documented plans and communication

Fewer delays or surprises

Agile teams with strong governance

A mindset of continual improvement, not just compliance

In short: fewer headaches, better outcomes.

For example, a North American SaaS client who engaged us for an Oracle Cloud migration reported a 28% improvement in delivery predictability after we formalized our project governance under the CMMI framework.

Our Commitment Beyond the Certificate

We don’t view CMMI Level‑3 as a destination. It’s a baseline. A checkpoint that reflects our commitment to excellence—not a trophy to flaunt.

And that mindset flows into everything we do—from our ERP and AI services to how we handle support tickets or conduct internal workshops.

It also reflects in our global recognition: being nominated for the 2025 Go Global Awards, hosted by the International Trade Council in London, is a reminder that process maturity is a key part of global competitiveness.

So, Why Does It Matter?

Because your business deserves more than promises. It deserves a partner who builds delivery excellence into their DNA. CMMI Level‑3 tells you we’ve done just that—and we’re not stopping there.

[sureshkumarprasad]

Enhancing Customer Support with AI Assistants—Tech Insights

By Suresh Kumar Prasad

Customer support has long been considered a cost center—a necessary but often underfunded part of doing business. But what if support could be a growth driver instead? With the emergence of AI assistants, that shift is happening now.

At Vidushi Infotech SSP Pvt. Ltd., we’ve worked with clients to build, train, and deploy AI-powered support tools that not only resolve issues faster but also enhance customer experience, reduce operational load, and unlock new insights. Let’s break down what this transformation really looks like—and what you should know if you're considering the leap.

What Is an AI Assistant, Really?

AI assistants for customer support aren’t just chatbots anymore. Modern tools, powered by large language models (LLMs) and machine learning, can:

Understand natural language

Retrieve data from knowledge bases

Escalate complex issues automatically

Personalize responses based on user profile or history

Learn continuously from new interactions

They act as a first line of engagement, handling FAQs, order status checks, ticket generation, password resets, and more.

We helped a retail client deploy an AI assistant across web and WhatsApp channels. Within three months, 63% of queries were resolved without human intervention—and satisfaction scores actually improved.

Integration Is Everything

The true power of AI support assistants lies in integration. They need access to:

CRM systems

Order management systems

Knowledge bases and documentation

Ticketing tools like Zendesk, Freshdesk, or Jira

We’ve built connectors that allow AI assistants to fetch invoice details, trigger refunds, or escalate to human agents when needed. For one healthcare platform, we linked the assistant directly with patient scheduling APIs—cutting appointment management time by half.

An isolated bot is just a gimmick. An integrated one is a solution.

Tone and Personality Matter

Today’s users expect conversational, human-like tone—even when they know they’re chatting with AI. This is where tone training and brand alignment come in.

We helped a travel client shape their assistant’s voice to be “friendly but professional,” using simple, empathetic language. The AI even throws in the occasional localized greeting (“Namaste!”) or festival wishes, which customers found surprisingly warm.

The future of AI support isn’t robotic—it’s relatable.

Hybrid Models Work Best

While AI can handle volume and speed, there are times when a human touch is irreplaceable. The best support systems use hybrid routing:

AI handles tier-1 and tier-2 issues

Tier-3 issues are escalated to human agents

AI summarizes the case history to assist the agent

This creates a seamless, faster support experience. Customers don’t have to repeat themselves, and agents get the context they need to jump right in.

One of our B2B clients used this model to reduce average ticket handling time by 47%.

Data Feedback Loops Improve Continuously

Every conversation is a data point. With the right feedback loops, AI assistants can:

Learn from unsuccessful responses

Refine intent detection

Expand their knowledge base

Flag unusual issues for human review

At Vidushi Infotech, we set up dashboards that let support teams track resolution rates, common queries, and drop-off points. Over time, this makes both AI and human teams smarter.

Support isn’t static—it evolves.

Looking Ahead

As AI becomes more context-aware, multilingual, and emotionally intelligent, the line between support and service will blur. AI assistants will become brand ambassadors, product experts, and even upsell agents.

At Vidushi Infotech SSP Pvt. Ltd., we’re excited to help businesses reimagine customer engagement with AI. Our nomination for the 2025 Go Global Awards, hosted by the International Trade Council in London, reflects our vision to blend technology with empathy—at scale.

Support doesn’t have to be reactive. With AI, it becomes proactive, personal, and powerful.

[sureshkumarprasad]

How to Convert Jira User Stories into Business Requirement Documents with AI

By Suresh Kumar Prasad

In the fast-paced world of software development, user stories in tools like Jira are essential. They help agile teams capture what needs to be done, by whom, and why. But when it’s time to engage stakeholders—especially from non-technical or business backgrounds—those user stories often aren’t enough. That’s where Business Requirement Documents (BRDs) come in.

The good news? With the help of AI, transforming Jira user stories into polished, structured BRDs is easier—and faster—than ever.

At Vidushi Infotech SSP Pvt. Ltd., we’ve integrated this AI-powered approach into our own processes, saving time and improving clarity across departments. Here's how you can do the same.

Why This Conversion Matters

Jira user stories are great for developers and project managers. They follow the “As a… I want… So that…” format, which keeps things lean and actionable.

But business stakeholders need more:

Clear goals and metrics

Process flows

Compliance and scope details

Assumptions, constraints, and acceptance criteria

A well-crafted BRD translates technical intentions into a business-readable narrative.

Step 1: Use AI to Extract Key Components

Modern AI tools (including ChatGPT, of course) can analyze Jira tickets and extract structured data points:

Who the user is

What the desired action or feature is

Why it matters

Dependencies and blockers

Tags and priority indicators

We’ve built simple internal scripts that feed Jira exports into an AI model, which then outputs initial BRD sections like “Business Objective,” “Functional Requirements,” and “Stakeholders Involved.”

Even a raw CSV of tickets can be transformed into a well-organized draft.

Step 2: Add Context from Linked Stories or Epics

Often, user stories are linked to epics, tasks, or subtasks. AI can be trained to crawl through these connections and merge them into a single narrative.

For example, three stories like:

“As a customer, I want to reset my password.”

“As a customer, I want to receive a password reset email.”

“As a system admin, I want to log password reset attempts.”

…can be combined into a single “User Authentication and Recovery” section in your BRD.

AI helps synthesize fragmented items into coherent business themes.

Step 3: Convert Technical Acceptance Criteria into Business Language

AI excels at translation—not just across languages, but across professional domains. It can take developer-oriented acceptance criteria and rewrite them into business-aligned outcomes.

Instead of:

“System should send HTTP 200 on POST /api/reset-password”

You get:

“Users should receive confirmation after initiating password reset, ensuring the request is processed successfully.”

That’s something the head of operations or the compliance officer can actually understand.

Step 4: Incorporate Visuals Automatically

Several AI tools now generate flowcharts, swimlane diagrams, or entity relationship diagrams based on text input. With structured Jira story exports, these visuals can be built into your BRD draft automatically.

We integrated Mermaid.js and PlantUML with our internal AI assistant to generate diagrams directly from summarized story logic.

It adds polish—and reduces hours of manual diagramming.

Step 5: Review, Customize, and Collaborate

No AI-generated BRD should go out unreviewed. But the point is: the first 70–80% can now be automated, allowing analysts and product managers to focus on refining, validating, and tailoring the document.

In our experience, this has cut BRD prep time by 60–70% and reduced miscommunication significantly across business and technical teams.

AI isn’t replacing business analysts—it’s empowering them.

At Vidushi Infotech SSP Pvt. Ltd., we combine AI-driven productivity with human insight to deliver accurate, actionable documentation that bridges the gap between tech and business. As a nominee for the 2025 Go Global Awards, hosted by the International Trade Council in London, we’re proud to lead innovation not just in what we build—but in how we build it.

From Jira to BRD, the path is shorter than ever—especially when AI walks beside you.

[sureshkumarprasad]

Maximizing ROI with AI‑Powered Paid Ads: Dos and Don’ts

By Suresh Kumar Prasad

Agriculture is no longer just about soil, water, and sunlight. In today’s tech-powered world, the farm is becoming smarter, faster, and more data-driven—thanks to Agri-Tech. One of the most exciting developments is the use of drones combined with artificial intelligence (AI) to monitor crop health.

At Vidushi Infotech SSP Pvt. Ltd., we’ve worked with agricultural businesses and smart farming startups to implement drone-based crop monitoring systems powered by AI. The results have been remarkable: improved yields, early detection of disease, better use of resources, and more sustainable practices.

Here’s how drone and AI-based crop monitoring is reshaping agriculture.

1. The Problem: Inefficient Crop Monitoring

Traditionally, farmers walk through fields to inspect crops—a process that’s time-consuming, labor-intensive, and often subjective. When issues like pests, drought stress, or nutrient deficiencies go unnoticed for too long, the damage can become irreversible.

That’s where drones and AI step in. With multispectral cameras and machine learning models, fields can now be scanned from the sky—and interpreted in real time.

2. The Drone Advantage

Drones equipped with specialized sensors (RGB, thermal, and multispectral) can cover hundreds of acres in a single flight. They capture high-resolution images that reveal far more than the naked eye.

We recently supported a client in deploying drones across sugarcane fields in Maharashtra. With just one flight every 10 days, they gained a full picture of crop stress levels, canopy development, and water distribution. This allowed them to act quickly—adjusting irrigation and applying targeted treatment only where needed.

3. AI Makes the Data Actionable

While drones collect the data, AI interprets it. Using machine learning algorithms, we analyze drone imagery to detect:

Early signs of disease or pest infestations

Areas suffering from nutrient deficiencies

Water-stressed zones

Crop growth anomalies

For a precision agriculture startup, we built an AI engine that automatically flags “at-risk” zones based on color signatures and thermal anomalies in drone footage. This allowed them to reduce pesticide usage by 30%—saving money and protecting the environment.

4. Predictive Insights for Smarter Planning

AI also helps predict future crop performance by combining drone data with soil records, weather forecasts, and past yields. This empowers farmers to plan better—knowing when to irrigate, fertilize, or harvest.

We’re currently working on a pilot that integrates IoT sensors in the soil with drone data. Combined with AI, it creates a feedback loop that improves in-season decision-making and post-harvest analysis.

5. Sustainability Meets Profitability

With climate change impacting growing conditions worldwide, precision farming is no longer a luxury—it’s a necessity. Drone and AI-driven monitoring supports:

Reduced chemical use

Water conservation

Lower operational costs

Improved traceability for export markets

One of our agri-clients told us, “We used to guess. Now we know.” That shift—from assumption to insight—is what technology brings to the field.

At Vidushi Infotech SSP Pvt. Ltd., we’re proud to contribute to the future of farming by delivering tailored agri-tech solutions that combine innovation with impact. Whether it’s AI, drones, or data analytics, we believe technology should serve the farmer—not the other way around.

Our nomination for the 2025 Go Global Awards, hosted by the International Trade Council in London, affirms our commitment to building intelligent solutions for industries that feed the world.

From soil to software, agriculture is entering its smartest era yet—and we’re excited to be part of that journey.