How a 22-branch premium grocery chain used AI to forecast demand, personalize outreach, and recover abandoned carts across its growing online business.
Best-sellers hit stock-outs every weekend while slow movers cluttered shelves. Their loyalty program had 180k members — used only at checkout. Online cart abandonment sat at 71%. The buying team worked off Excel from the previous month. Weekend marketing pushes were the same message to all 180k members — driving unsubscribes.
We built a per-SKU, per-branch demand forecast that fed directly into their PO system with human approval. A unified customer profile stitched POS, loyalty, WhatsApp, and online. Cart recovery flowed via WhatsApp within 45 minutes of abandonment, in the customer's language. Personalized weekend offers went only to members whose basket history suggested interest.
"Palmpixel didn't just build a forecast. They rebuilt how our buyers make decisions — with data instead of instinct."
Investment: AED 425k across 12 months. Return: AED 4.2M recovered cart revenue + AED 8.6M attributed to demand-model gains and personalized marketing. Net ROI: 30.1× annualized.
Get in touch and we'll map what will (and won't) work — with ROI numbers in AED.
