Indian e-commerce has grown rapidly over the past decade, but most online stores still operate with the same basic structure. A customer visits a website, browses products, adds items to the cart, and completes checkout. If they leave midway, the store usually sends an automated email or notification hours later.
For many merchants, this system creates a gap between customer interest and actual sales. Customers often browse without guidance, abandon carts without explanation, and leave stores without anyone noticing. Merchants, especially smaller ones, rarely have the resources to track and respond to every customer interaction.
This is where agentic commerce enters the picture. With the introduction of AI agents that actively assist customers and recover lost opportunities, the online shopping experience is beginning to change.
Through a new partnership, Razorpay and superU are introducing AI-powered agents designed to help merchants across India automate customer interactions, improve conversions, and operate more efficiently.
What Is Agentic Commerce?
Traditional online stores are designed primarily to display products. Customers browse independently, compare options, and make decisions on their own. While this model works, it often lacks the personal interaction that exists in physical retail.
Agentic commerce introduces AI agents that actively participate in the shopping journey. Instead of waiting for the customer to take every step, these agents can understand behavior, respond to intent, and guide the customer toward completing a purchase.
Unlike traditional chatbots or simple automation tools, these agents are designed to interpret customer context and decide how to respond.
An AI agent can recognize when a customer is comparing products, hesitating during checkout, or abandoning a cart. Based on that behavior, it can initiate helpful interactions that support the customer and encourage the purchase to continue.
The goal of agentic commerce is to move beyond passive storefronts and create online shopping environments that actively assist customers throughout the buying process.
Why Online Stores Need AI Agents
Most online stores face the same operational challenge. A small team must manage marketing, product listings, customer support, and order fulfillment simultaneously.
When a customer visits the store, the experience is largely self-service. If the customer needs help choosing a product, has questions about delivery, or hesitates during checkout, there is rarely someone available to respond immediately.
This creates several common problems:
- Customers leave without finding the right product
- Cart abandonment rates remain high
- Follow-up messages feel generic and delayed
- Merchants miss opportunities to convert interested buyers
For businesses handling thousands of visitors daily, responding manually to each customer is impossible. AI agents allow merchants to scale these interactions without increasing staff.
Two AI Agents Launch First
As part of the partnership between Razorpay and superU, the first two AI agents are now being introduced to Indian merchants. These agents focus on two critical points in the e-commerce journey: product discovery and cart recovery.
Together, they represent the first step toward a larger ecosystem of AI-driven commerce tools.
The AI Personal Shopper
The first agent acts as a digital personal shopper inside the online store. Instead of browsing through product pages alone, customers can interact with an AI assistant that understands the store’s entire catalogue.
This AI agent can help customers discover products based on their preferences and questions. If a shopper is unsure about which product to choose, the agent can recommend options and explain differences between them.
The experience is designed to feel similar to interacting with a knowledgeable salesperson in a physical store.
The AI personal shopper can:
- Understand customer intent and preferences
- Guide customers toward relevant products
- Answer product-related questions
- Provide recommendations based on browsing behavior
Because the agent is always available, every visitor receives assistance without increasing operational costs for the merchant.
The Cart Abandonment Agent
Cart abandonment remains one of the biggest challenges in e-commerce. Many businesses rely on simple email reminders that are triggered when a customer leaves without completing a purchase.
These messages are often generic and sent at fixed intervals, regardless of the reason the customer abandoned the cart.
The cart abandonment AI agent works differently. Instead of sending identical reminders to every shopper, the agent analyzes customer behavior and determines the most appropriate follow-up.
For example, the system can consider factors such as the value of the cart, the time spent browsing, and previous interactions with the store.
Based on this information, the agent decides when and how to reconnect with the customer. It may send a personalized message, initiate a conversation, or offer assistance in completing the purchase.
This adaptive approach helps merchants recover lost sales more effectively than traditional automation.
The Partnership Between Razorpay and superU
Razorpay has become one of the most important infrastructure providers for digital payments in India. Thousands of businesses rely on the platform to process online transactions and manage financial workflows.
superU brings a different capability to the ecosystem: conversational AI and voice automation.
The superU platform allows businesses to build and deploy AI agents that interact with customers through voice and conversational interfaces. These agents can operate across multiple channels and languages while integrating with business systems through webhooks and APIs.
By combining Razorpay’s payment infrastructure with superU’s AI capabilities, the partnership creates a system where merchants can automate both the transactional and conversational parts of the commerce experience.
This integration allows merchants to move beyond static storefronts and introduce AI-driven interactions throughout the customer journey.
AI Agents for Merchants of Every Size
One of the goals behind the launch is to make advanced AI tools accessible to businesses of all sizes.
Large enterprises often invest heavily in automation, data analytics, and customer experience technology. Smaller merchants rarely have the resources to build similar systems.
The AI agents developed through this collaboration are designed to work for merchants across a wide range of business sizes, from small online stores generating monthly revenue of ₹1 lakh to large enterprises processing hundreds of crores in transactions.
By providing ready-to-deploy AI agents, the platform allows businesses to introduce intelligent automation without requiring specialized technical teams.
The Beginning of a Larger Ecosystem
The launch of the AI Personal Shopper and Cart Abandonment Agent represents only the first phase of the broader initiative.
The long-term vision involves creating a network of specialized AI agents that support different moments in the commerce lifecycle.
Future agents may focus on areas such as customer acquisition, lead qualification, post-purchase engagement, retention campaigns, and payment recovery.
Each agent is designed to handle a specific business task while integrating with the merchant’s broader technology stack.
Over time, these agents could work together as a coordinated system that supports merchants across the entire customer journey.
The Future of AI-Driven Commerce
As AI technology continues to evolve, online shopping experiences are likely to become more interactive and personalized.
Instead of static websites where customers browse independently, stores may increasingly rely on AI agents that guide visitors, answer questions, and assist with purchases in real time.
For merchants, this shift reduces the operational burden of managing customer interactions manually.
For customers, it creates a more responsive and helpful shopping environment.
Agentic commerce represents an early stage in this transformation, where AI agents function not just as tools but as active participants in the buying process.
Final Thoughts
The introduction of AI agents through the collaboration between Razorpay and superU signals a new direction for Indian e-commerce.
By enabling merchants to deploy intelligent assistants that help customers shop, recover abandoned carts, and improve conversions, the initiative brings enterprise-grade technology to a much wider audience.
As more AI agents are introduced in the coming months, businesses will gain new ways to automate customer interactions while maintaining a personalized shopping experience.
For merchants navigating the challenges of modern online commerce, agentic commerce offers a practical path toward smarter and more scalable operations.
