AI for E-commerce
We integrate leading AI technologies into your business to deliver AI for E-commerce.
E-commerce platforms have two problems that AI is well-suited to: helping buyers find what they're looking for more quickly, and processing the operational work — orders, returns, catalogue updates — faster than a manual team can. Both connect to your existing platform rather than requiring a migration.
Product recommendations are the most visible starting point: a model trained on your own purchase and browsing history that surfaces relevant products in real time, replacing a static "you might also like" widget with something that reflects what your customers actually buy together.
Search improvement goes further: natural language queries matched against your product catalogue so a buyer who types "comfortable office chair under 10,000" gets relevant results even if no product is tagged with those exact words. On the operational side, return reason classification, catalogue description generation from product specs, and order anomaly detection each reduce manual work without changing how your platform looks to buyers.
What we add to e-commerce platforms
Product Recommendations
Trained on your own purchase history — not a generic "customers also viewed" widget.
Natural Language Search
Buyers find products using how they describe them, not just exact keyword matches.
Return Reason Classification
Returns categorised automatically so patterns surface without manual reading.
Catalogue Description Generation
Product descriptions generated from specs and attributes at scale.