The Root Problem
Retail P&L is attacked from six directions simultaneously
Each problem is solvable in isolation. What makes retail hard is that inventory, pricing, personalisation, supplier, operations, and returns are all connected — and manual management of one degrades the others.
📦 Inventory: The Hidden P&L Killer
4% of revenue lost to stockouts. 30% of working capital tied in overstock. Both happen simultaneously — fast movers out of stock, slow movers on markdown. AI demand forecasting at SKU-store-day level resolves both: 34% working capital reduction, 97.5% service level.
💰 Pricing: Margin Left on the Table
Static prices leave 8–12% gross margin uncaptured annually. Competitors change prices 4× per day on Amazon. Dynamic Pricing Engine adjusts within human-approved guardrails in real time — tracking 47,000 competitor prices every 4 hours. +3.1pts GM achieved.
🎯 Personalisation: Generic = Invisible
Generic promotions convert at 1–2% and train customers to wait for discounts. AI personalisation serves unique recommendations and offers to every customer based on behaviour and intent — 11.4% conversion, £8.40 basket uplift, full margin on most transactions.
❤️ Churn: High-LTV Customers Silently Lapse
Top 20% of retail customers typically generate 80% of profit. They lapse silently — no notification, no warning. Churn Prevention detects lapse signals 90 days ahead and triggers personalised win-back before competitors capture the relationship.
🤝 Suppliers: Negotiating Blind
Buyers negotiate with suppliers without real-time market price intelligence. AI supplier intelligence benchmarks every supplier's prices against market rates and surfaces the gaps — directly improving the negotiation conversation with data.
🔄 Returns: Profit Destroyer
Fashion return rates hit 30–40% online. Each return costs £8–£15 to process. AI returns intelligence cuts return rates by 23% through size accuracy, predictive intervention, and product quality signals that feed directly to buying teams.