Retail & E-Commerce
AI for personalisation, inventory, and customer intelligence.
Retail is a data-dense, margin-thin business. The teams that win are the ones that act on their data faster. We build the AI infrastructure that connects customer behaviour, inventory, and operations into a coherent picture.
Common challenges
The problems retail & e-commerce teams bring to us most often.
Generic customer experiences
Most retail platforms still surface the same products to every customer. Personalisation at scale requires ML pipelines that most teams cannot build in-house.
Inventory imbalance
Overstock and stockouts both destroy margin. Demand forecasting that accounts for seasonality, promotions, and external signals is beyond spreadsheet-based planning.
High return rates
High return rates in e-commerce create margin pressure. Predicting return risk at the point of purchase enables targeted sizing guidance and policy adjustments.
What we build
Specific systems and capabilities we deliver for retail & e-commerce clients.
Recommendation engines
Collaborative and content-based filtering models that personalise product discovery across browse, search, and email surfaces.
Demand forecasting
SKU-level forecasting models that account for promotions, seasonality, and external demand signals to drive replenishment decisions.
Visual search
Image similarity models that let customers find products by uploading a photo — deployed as an API into your existing storefront.
Returns prediction
Order-level risk scoring that identifies high-return-probability purchases, enabling pre-emptive sizing guidance or policy adjustments.
Customer lifetime value
Segmentation and LTV prediction models that help marketing teams allocate acquisition and retention spend more effectively.
Related industries
Other sectors we work with.
Working in retail & e-commerce?
Tell us what you are building. We will come back with a clear, honest plan — no pitch, no vague estimates.