AI Agents for eCommerce
97 out of 100 visitors leave without buying, and cart abandonment represents trillions in recoverable revenue. AI agents work every stage of the funnel - personalising discovery, recovering abandoned sessions, and resolving post-purchase issues instantly.
eCommerce AI Agents
Why AI Matters in eCommerce
- 97% of visitors leave an ecommerce site without purchasing, and cart abandonment represents trillions in recoverable revenue from shoppers who did not complete for reasons that could have been addressed.
- Most cart abandonment happens not because the customer changed their mind but because of specific friction points: unexpected shipping costs, checkout complexity, return policy uncertainty, or simple distraction.
- Static product recommendations based on bestseller lists ignore each shopper's live browsing behaviour - serving the same generic suggestions to a first-time visitor and a loyal high-value customer.
- AI that identifies the specific friction point for each abandoner and responds with a personalised recovery message converts a significant percentage of what was previously treated as irrecoverable lost revenue.
Top Use Cases
Real-Time Product Recommendation Engine
Serve personalised product recommendations on every page - homepage, product pages, cart, and post-purchase - based on live browsing behaviour and purchase history rather than static bestseller lists.
Cart Abandonment Recovery Sequences
Detect abandonment intent and trigger a personalised multi-step recovery sequence - email, SMS, or retargeting - with messaging and incentive levels calibrated to cart value and customer history.
Customer Support Without Human Escalation
Resolve order status queries, return requests, delivery issues, and product questions through an AI agent that accesses order management systems directly, handling the majority of contacts without a human ticket.
Checkout and Landing Page Optimisation
Continuously A/B test checkout flow elements, product page layouts, and CTA copy, automatically routing traffic toward higher-converting variants and surfacing insights for design decisions.