How AI in Ecommerce Is Redefining Online Selling for Indian Brands in 2026
ONDC Network for Enterprises

Key Takeaways
- AI in ecommerce has moved from experimentation to infrastructure, where competitive advantage depends on how deeply intelligence is embedded across the selling stack.
- Enterprise ecommerce success is no longer driven by isolated AI features, but by platforms where discovery, cataloguing, personalisation, and operations operate as one system.
- The real constraint for scaling brands is fragmented AI adoption, where tools don’t share context and limit measurable business impact.
- As online selling matures in India, predictability and adaptability matter more than automation alone, especially across buyer journeys, merchandising, and operations.
- Platforms like Mystore treat AI as a core capability, not an add-on, enabling enterprises to evolve selling models and experiences without increasing operational complexity.
AI in ecommerce is no longer an emerging trend, it has become a strategic growth engine for online selling in India. As Indian consumers expect faster, smarter, and more personalised shopping experiences, enterprises are rapidly adopting AI for ecommerce to stay competitive and scalable.
From intelligent search and product recommendations to automated cataloguing and conversational commerce, AI is reshaping how brands sell online. For enterprises, this shift is not just about automation, it’s about building smarter, data-driven storefronts that continuously optimise themselves. This is where enterprise ecommerce solutions backed by a fully integrated ecommerce ecosystem like Mystore create a decisive advantage.
Table of Contents
- How AI Is Reshaping Ecommerce in India
- How Mystore’s AI-First Ecommerce Ecosystem is Powering Smarter Online Selling
- 1. AI-Powered Search That Understands Buyer Intent
- 2. Intelligent Product Recommendations That Drive Higher Conversions
- 3. AI-Driven Cataloguing That Simplifies Enterprise-Scale Selling
- 4. AI Image Enhancement for High-Impact, Conversion-Ready Catalogues
- 5. Conversational Commerce with AI-Powered Shopping Assistants
- Conclusion
How AI Is Reshaping Ecommerce in India
Let’s take a closer look at how AI in ecommerce is reshaping online selling in India and why enterprises are rapidly embedding AI across discovery, personalisation, payments, and operations to drive growth at scale.
The Growth of AI in Ecommerce
- $8.65 bn projected value of India’s AI-powered ecommerce market in 2025
- 80% of Indian companies consider AI a strategic priority
- 78% of Indian Businesses using AI reported revenue growth
- 82% of Indian Customers witness improved purchase decisions using AI
- 52% rise in AI spending by Indian businesses in 2024
- 97% of retailers plan to increase AI investments in 2025
Source: Elightwalk, DD News, Salesforce, EY, IBM, Convergence Now
The data clearly shows has moved from being an emerging technology to becoming a core growth driver for ecommerce in India. What was once seen as optional experimentation is now shaping everyday online selling decisions, from how customers discover products to how enterprises optimise conversions, operations, and scale.
For enterprise brands, AI in ecommerce enables better customer engagement, faster conversions, smarter merchandising, and storefronts that evolve with every interaction, unlocking long-term growth in online selling.
How Mystore’s AI-First Ecommerce Ecosystem is Powering Smarter Online Selling
While many enterprises understand the potential of AI in ecommerce, applying it across the entire selling journey remains a challenge. Disconnected tools often limit impact. Mystore solves this by offering AI powered fully integrated ecommerce ecosystem, enabling enterprises to use AI for ecommerce in a practical, scalable way without added complexity.
1. AI-Powered Search That Understands Buyer Intent
If you manage an enterprise ecommerce store, you’ve likely seen this problem up close, buyers land on your site, use the search bar, and still don’t find what they’re looking for. They type incomplete phrases, make spelling mistakes, or search in a conversational way. Traditional search systems simply don’t understand intent, and the result is frustration, drop-offs, and lost sales. For large catalogues, this becomes an everyday challenge.
Mystore solves this with AI-powered search that focuses on intent, not just exact keywords. Using AI in ecommerce, the search engine understands buyer behaviour, context, and patterns to show the most relevant results, even when queries aren’t perfect. For enterprise brands, this means better product discovery, fewer abandoned searches, and a smoother shopping experience. Search stops being a weak point and becomes a quiet conversion driver within Mystore’s fully integrated ecommerce ecosystem.
2. Intelligent Product Recommendations That Drive Higher Conversions
Many enterprise brands struggle with personalisation at scale. While recommendations exist, they’re often rule-based or static, showing the same “related products” to every buyer. Over time, this feels repetitive and fails to genuinely influence purchase decisions, especially for returning customers.
Mystore’s AI for ecommerce changes how recommendations work. Instead of relying on fixed rules, AI analyses browsing behaviour, purchase history, and real-time interactions to suggest products that actually make sense for each buyer. This helps enterprise teams create experiences that feel personal without manual effort. With these AI-driven recommendations built into Mystore’s enterprise ecommerce solutions, brands see higher engagement, improved average order values, and better repeat purchases. It’s personalisation that works in the background, subtle, relevant, and effective.
3. AI-Driven Cataloguing That Simplifies Enterprise-Scale Selling
Cataloguing is one of the most underestimated challenges in enterprise ecommerce. Writing product titles, descriptions, and SEO content for hundreds or thousands of SKUs takes time, coordination, and constant rework. For B2B and multi-category enterprises, this often slows launches and creates inconsistencies across the catalogue.
Mystore simplifies this with AI-powered cataloguing tools designed for scale. By using AI in ecommerce, enterprises can generate SEO-friendly titles and descriptions directly from product images in seconds. Teams can review and fine-tune content to match brand tone, without starting from scratch. For B2B sellers, bulk generation makes onboarding large catalogues far more efficient. This use of enterprise ecommerce solutions reduces operational load, speeds up time-to-market, and keeps catalogues clean and discoverable across Mystore’s fully integrated ecommerce ecosystem.
4. AI Image Enhancement for High-Impact, Conversion-Ready Catalogues
Enterprise brands often source product images from multiple vendors, regions, or teams. The result? Inconsistent lighting, poor resolution, and uneven presentation. While these issues may seem small, they directly impact buyer trust and conversion rates and fixing them manually takes significant effort.
Mystore’s Magic Edit uses AI for ecommerce to automatically enhance product images for clarity, consistency, and professional quality. Without needing design expertise, enterprises can ensure their entire catalogue looks polished and reliable. This AI image enhancement works seamlessly within Mystore’s fully integrated ecommerce ecosystem, helping brands maintain visual standards at scale. Better images lead to higher engagement, stronger trust, and improved conversions without adding more work for already busy teams.
5. Conversational Commerce with AI-Powered Shopping Assistants
Many buyers hesitate before purchasing, not because they don’t want the product, but because they have questions. Traditional chatbots feel rigid, and human support isn’t always available. For enterprises, this often leads to missed opportunities and higher drop-offs.
Mystore Genie addresses this gap with a conversational, intuitive shopping experience. This AI-powered, multilingual, voice-enabled assistant allows buyers to search, compare, and decide simply by chatting or speaking. By using AI in ecommerce, Mystore makes online selling feel more natural, especially for India’s diverse buyer base. For enterprises adopting modern enterprise ecommerce solutions, Genie reduces friction, speeds up decisions, and improves overall customer satisfaction. It’s conversational commerce that feels helpful, not intrusive.
Conclusion
AI in ecommerce is fundamentally transforming online selling in India, from how buyers discover products to how enterprises manage operations at scale. Brands that adopt AI for ecommerce are not just improving efficiency; they are building adaptive, intelligent commerce experiences that grow stronger over time.
With its fully integrated ecommerce ecosystem, Mystore brings together AI-powered search, recommendations, cataloguing, image enhancement, and conversational commerce into one enterprise-ready platform. For brands looking to future-proof their online selling strategy, AI-driven enterprise ecommerce solutions are no longer optional, they are essential.
Discover how Mystore’s AI-powered enterprise ecommerce solutions can help you sell smarter, faster, and at scale.
Future-proof your ecommerce journey with Mystore.


