A European retailer running a multi-site store network.
AI-Driven Retail Transformation: Loyalty Sales Up 12%
The Challenge
Manual replenishment couldn’t keep up with seasonality, promotions and supplier constraints - leaving capital tied up in excess stock while frequent stockouts cost revenue. Marketing lacked personalisation, and with no real-time view of stock or customer behaviour, customer loyalty slipped and margins came under pressure.
What We Did
We built an AI replenishment engine that now automates 95% of inventory orders, with ML models tuned to promotions, seasonality and supplier delivery windows and predictive analytics to cut stockout risk. We added a personalised offer engine for loyalty programmes and promotions, plus real-time tracking of campaign performance and customer segments - on data-driven workflows that lifted operational efficiency and gross margin.
The Impact
How We Delivered
A 7-person senior, Europe-based delivery team - two data engineers, a senior data engineer, an AI developer, a DevOps engineer, a senior analytics consultant and a project manager - building on a microservices architecture with ETL integration and automated stock-sync workflows.
Inside The Build
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