E-commerce

AI that finds products, converts shoppers, and compounds revenue.

Storefront search, copilots, merchandising agents.

E-commerce AI wins or loses at the moment of search and the moment of indecision. We've built product discovery, recommendation, and copilot systems that measurably move GMV — not demos that look impressive in a pitch deck but don't move conversion.

Use cases

Semantic product search

Natural language search that understands 'lightweight hiking shoes for wide feet under $150' — returning ranked, relevant results, not just keyword matches.

AI shopping copilots

Conversational product advisors embedded in your storefront that guide shoppers to the right product through dialogue, not infinite scroll.

Personalized recommendations

Real-time, session-aware recommendations on PDPs, cart, and post-purchase — trained on your catalog and behavioral data.

Dynamic merchandising

AI-driven collection ranking, promotional slot allocation, and inventory-aware product surfacing that optimizes margin, not just clicks.

Returns reduction AI

Pre-purchase fit guidance, size recommendations, and expectation-setting that measurably cut return rates in apparel and footwear.

Customer service automation

Order status, return initiation, and product Q&A handled by AI — with seamless handoff to human agents for complex issues.

Why Evolve Edge

Revenue-first AI We instrument every AI feature against business metrics from day one. Conversion rate, AOV, and return rate — not just model accuracy on a held-out test set.

Search that actually understands intent Hybrid semantic + keyword search with intent classification, attribute extraction, and re-ranking trained on your actual click and purchase data.

Personalization at scale Real-time recommendation systems that serve personalized results to anonymous visitors and known customers — without the cold-start failures that plague most recommender systems.

Evolve Edge team at work

Client perspective

Search conversion lifted 28% in the first month. Semantic search that actually understands what shoppers mean — not just what they type.

Priya KapoorHead of Product · BrightCart

FAQ

How quickly can we see revenue impact?
A/B tested search and recommendation changes typically show measurable conversion impact within 2–4 weeks of rollout with sufficient traffic volume.
Can you work with our existing commerce platform (Shopify, Salesforce Commerce, Commercetools)?
Yes. We've built AI layers on top of Shopify Plus, Salesforce Commerce Cloud, Commercetools, and custom platforms. The AI layer is platform-agnostic.
How do you handle cold-start for new products or new visitors?
Content-based fallback for new products (attributes, category, text embedding), and session-based signals for new visitors. Cold-start is a solved problem with the right architecture.

Have Questions? Let's Talk.

Free 30 minute call with a senior engineer, not a salesperson. We have got the answers to your questions.