E-commerce and retail
Product search, customer support, inventory and order triage, and personalised recommendations.
E-commerce and retail businesses need to help customers find products, answer questions, and feel understood. AI can power better search, smarter support, and personalised recommendations.
I build product search that understands intent (not just keywords), customer support that handles common queries and escalates the rest, and recommendation engines that suggest what customers actually want. For inventory and operations, AI can triage orders, flag anomalies, and prioritise what needs attention. The goal is tools that help you sell more and support customers better without needing a big tech team.
Example AI integrations
AI services and tools I've integrated for businesses include:
Nosto
AI product recommendations and personalisation for retail. In e-commerce, it personalises product recommendations and upsells.
Algolia AI
NeuralSearch and AI-powered product discovery. In e-commerce, it powers semantic product search and discovery.
Dynamic Yield
AI personalisation and recommendations for e-commerce. In e-commerce, it personalises onsite experiences and recommendations.
Klevu
AI search and merchandising for e-commerce. In e-commerce, it improves search relevance and merchandising.
Gorgias
AI customer support for Shopify and e-commerce. In e-commerce, it automates customer support and order queries.
Rebuy
AI product recommendations and upsell for e-commerce. In e-commerce, it drives upsells and cross-sells with AI recommendations.
Try these free tools
AI product integrations
- Chatbots and conversational AI - Customer support, lead qualification, and internal Q&A systems that understand your business context.
- Data pipelines and analytics - LLM-powered data cleaning, enrichment, and insight generation from unstructured or messy data sources.
- Predictive analytics and forecasting - AI for demand forecasting, anomaly detection, risk scoring, and time-series prediction.
Frequently asked questions
- AI semantic search understands what customers mean, not just what they type. A search for "warm winter jacket under fifty quid" finds the right products even if your listings don't use those exact words. It improves conversion by helping customers find what they want faster.
- Yes. An AI support agent can answer common queries - order status, returns process, sizing questions - instantly and around the clock. It escalates complex issues to your team. Most e-commerce businesses can automate 60-80% of support volume.
- Recommendation engines analyse what customers browse, buy, and search for, then suggest relevant products. Done well, they increase average order value and repeat purchases. The AI learns from your customers' behaviour, not just generic rules.
- No. Even with a few hundred products, AI search and recommendations improve the shopping experience. The technology scales from small independent shops to large catalogues with tens of thousands of items.
How can AI improve product search on my online shop?
Can AI handle customer support for an e-commerce business?
What is AI-powered product recommendation and does it actually increase sales?
Do I need a big product catalogue for AI to be worthwhile?
Want to discuss AI for your business?
I help businesses integrate AI into their workflows. Get in touch to talk through your specific situation.