How Shiprocket is democratising access to AI and technology for Indian sellers
By integrating AI across checkout, fulfilment, risk, and insights, Gurugram-based logistics player Shiprocket wants to ensure that advanced technology works out of the box for sellers across Bharat.
India’s commerce story is being rewritten at an unprecedented scale. From neighbourhood entrepreneurs to digital-first brands, millions of sellers across Bharat are stepping into the online economy with ambition, momentum, and a clear intent to scale. Yet for many, access to advanced technology and AI-led tools remains uneven, complex, or prohibitively expensive.
Gurugram-based e-commerce enablement platform Shiprocket aims to close this gap. As of FY 2025, Shiprocket’s merchant base continues to expand, with around 4 lakh merchants served and 1.8 lakh active on the platform that are empowered by its suite of intelligent products.
The IPO-bound company aims to power India’s next million sellers by embedding enterprise-grade AI directly into the seller journey. Built on a tech-heavy, asset-light foundation, Shiprocket wants to ensure intelligence is not just an add-on or upgrade but also a core capability available from day one.
“Democratising AI means ensuring that access to intelligence is not limited by scale, capital, or technical capability,” says Saahil Goel, MD and CEO, Shiprocket. “Most Indian sellers are focused on building products, serving customers, and managing day-to-day operations. They don’t have the time or resources to build AI systems or interpret complex data.”
In FY25, Shiprocket recorded a revenue of Rs 1,632 crore, driven by its core shipping business and rapid expansion across new verticals. has filed an updated Draft Red Herring Prospectus (UDRHP) with the SEBI to raise Rs 2,342.3 crore via an initial public offering (IPO).
AI that works across the commerce lifecycle
Shiprocket integrates intelligence across every stage of the commerce journey, from checkout to fulfilment, shipping, post-purchase, and beyond. Instead of a premium feature, AI is positioned as a foundational layer that works silently in the background, optimising outcomes in real time.
“At Shiprocket, AI is embedded directly into the platform so sellers benefit from better decisions without having to actively engage with the technology itself,” Goel explains. “Whether it’s courier selection, delivery optimisation, risk management, or performance insights, intelligence works in the background as part of the workflow. Sellers get enterprise-grade capability by default, not as an add-on.”
Where the seller journey meets AI CORE
The company’s AI CORE (Commerce Operations & Recommendation Engine) platform is the base for every seller’s journey. It is the intelligence layer powering decision-making across the platform. From the moment a seller starts shipping, AI CORE processes massive volumes of data spanning pin codes, courier performance, delivery behaviour, and buyer intent.
In practice, this means sellers don’t have to choose, predict, or optimise manually. Courier selection, delivery routing, and performance optimisation happen automatically, turning operational guesswork into data-led execution.
“Commerce doesn’t operate in isolation,” says Goel. “Decisions made at checkout affect fulfilment outcomes. Delivery performance impacts returns, cash flow, and customer trust. We built a unified AI stack so intelligence can flow across the entire commerce lifecycle, instead of sellers managing fragmented point solutions.”
Predicting risk before it becomes loss
As sellers scale, operational risk becomes one of the biggest growth constraints. Failed deliveries, regional disruptions, and address-level issues can quietly erode margins, especially for SMBs operating on thin cash flows. This is where Shiprocket Radar enters the game. Radar uses AI-led insights to identify supply stress, delivery risk, and geographic anomalies across regions, capabilities that were traditionally available only to large enterprises with internal intelligence systems.
On the other hand, rising order volumes leads to greater need for visibility. Shiprocket Sense transforms operational data into usable business intelligence, surfacing insights across delivery performance, RTO trends, customer behaviour, and cash flow cycles.
“For SMBs, unpredictability often translates directly into financial stress,” Goel notes. “Predictive intelligence shifts decision-making from reactive to preventive. Tools like Radar and Sense surface issues early, allowing sellers to take corrective action before losses accumulate.”
From transactions to conversations
Growth does not end at delivery. As sellers build brands, customer communication becomes just as critical as fulfillment. Shiprocket Engage enables sellers to move from transactional updates to meaningful, real-time conversations, especially across WhatsApp, where Indian consumers already prefer to engage.
Powered by automation and intelligence, Engage is built for sellers to handle order verification, address confirmation, service queries, and post-purchase support efficiently, without expanding support teams.
“India is a uniquely complex market,” Goel explains. “Cash-on-delivery, hyperlocal pin-code behaviour, regional logistics variability, and WhatsApp-first communication are central to how commerce works here. Our AI systems are trained on Indian commerce data and designed specifically for Bharat, not adapted from global playbooks.”
Improving conversion at the first click
For many sellers, the most fragile moment in the journey is the first one: checkout. Complex forms, slow-loading pages, and unfamiliar flows often lead to drop-offs before an order is even placed.
Shiprocket Checkout is designed to resolve this friction. Built for India’s mobile-first, OTP-driven behaviour, it simplifies the buying experience by reducing inputs, enabling faster repeat purchases, and giving sellers greater control over rules like pin-code serviceability, payment preferences, and coupon logic. By improving conversion at the very start of the journey, Checkout ensures that growth is not lost before it begins.
One unified AI stack
Shiprocket sets itself apart with a set of tools that not only leverage intelligence but work seamlessly in cohesion. With AI CORE, Radar, Checkout, Engage, Sense, Co-pilot, and Trends AI, the company offers a unified intelligence layer spanning execution, risk, conversion, communication, insight, and foresight.
This is to ensure that sellers don’t need to stitch together tools or manage vendors. Instead, the company allows a smooth flow of intelligence across the commerce lifecycle, adapting as the business scales.
“Sellers should operate on one integrated system that becomes smarter as the business scales,” explains Goel.
Democratising the next phase of growth
Looking ahead, Goel believes AI will fundamentally reshape the role of Indian sellers, reducing operational friction and freeing founders to focus on product quality, customer experience, and brand-building.
“Our responsibility is to make this transition inclusive,” he says. “AI must remain accessible, practical, and outcome-driven. The goal is not technology for its own sake, but abstracting complexity so sellers can scale sustainably.”
By embedding AI deeply into the seller journey, Shiprocket aims to enable India’s next million sellers to scale in the digital economy, powered by intelligence.