AI for Retail, Personalisation, Automation and Demand Intelligence
From AI-powered product recommendations to intelligent inventory management, we build systems that increase revenue and reduce operational overhead.
What's Holding Retail & E-Commerce Back from AI
Generic Customer Experiences
One-size-fits-all product listings and generic email campaigns convert poorly. Customers expect personalisation at every touchpoint but most retail stacks can't deliver it.
Inventory & Demand Blind Spots
Stockouts cost sales; overstock eats margin. Traditional forecasting can't account for real-time signals like trends, weather, and competitor pricing.
High Customer Support Volume
Order status, returns, and product queries flood support queues with repetitive, low-complexity tickets that don't need human agents.
AI Use Cases for Retail & E-Commerce
AI Product Recommendation Engine
Personalisation agent that analyses browsing history, purchase patterns, and real-time intent signals to serve hyper-relevant product recommendations.
Demand Forecasting Agent
Multi-signal AI that combines sales history, trend data, seasonality, and competitor signals to predict demand at SKU level with weekly refresh.
Retail Support AI
Support agent for order tracking, returns, and product FAQs. Complex issues go to your team with full context.
What This Looks Like in Practice
The Challenge
A growing D2C brand with 50,000 monthly orders handling 800+ support tickets/day with a 5-person team, response times averaging 18 hours.
The Result
AI support agent handles 65% of tickets automatically. Response time dropped to under 2 minutes for routine queries.
Tell us what you want to build.
We'll scope it in a call and tell you what we can ship and when.