Industry
Retail and e-commerce solutions for online shopping and omnichannel experiences
12 solutions
Systems that present each shopper with tailored product selections, promotions, and content across digital touchpoints — based on browse history, purchase patterns, and segment signals.
Collaborative filtering and content-based models that surface relevant products — driving higher average order value and repeat purchase frequency across e-commerce and in-store channels.
SKU-level demand forecasting models that set optimal replenishment schedules, safety stock, and markdown timing — reducing holding costs and stock-out frequency simultaneously.
Computer vision and sensor-fusion systems that enable friction-free checkout — tracking what shoppers pick up and billing them on exit without queuing at a till.
Pricing systems that adjust retail prices in response to demand velocity, competitor activity, and inventory positions — across e-commerce and in-store channels with margin floor enforcement.
Analytics that combine transaction history, store traffic, returns data, and review sentiment to understand what drives customer satisfaction, churn, and purchase motivation.
Business intelligence platforms built for retail — combining sales, inventory, margin, and customer data to support merchandising, planning, and operational decisions.
Computer vision and trend analytics for fashion retail — automating size recommendations, visual search, outfit suggestions, and planogram compliance checking.
ML models that replace manual replenishment ordering with automated, demand-driven purchase proposals — reducing stock-outs, overstock, and buyer workload across the store network.
End-to-end engineering of e-commerce platforms, OMS, loyalty systems, and store operations software — built for high-traffic peak periods and omnichannel fulfilment complexity.
LLM applications for retail — product description generation at scale, natural language search enhancement, customer service chatbots, and personalised email content.
Advisory programmes that identify where AI creates measurable impact on retail revenue, margin, and customer retention — and deliver a phased implementation plan with commercial validation.
