Nottingham Trent University and Divit Beauty Limited KTP 24_25 R2

A warehouse in Nottingham will soon run on an artificially intelligent brain that can spot cyberattacks before they happen. The project builds a new kind of Warehouse Management System (iWMS) for Divit Beauty Limited, a cosmetics company. Current warehouse software struggles to keep up with fast-moving stock, manual processes, and rising cyber threats. This system combines three things: AI that analyses warehouse data to predict demand and spot inefficiencies, Internet-of-Things sensors that automate tasks such as stock counting and order picking, and built-in cybersecurity that detects and blocks malicious activity without human intervention. If successful, the system could transform how small and mid-sized retailers manage their supply chains. Instead of relying on spreadsheets and gut instinct, warehouse managers would get real-time, data-driven decisions. The cyber-threat resilience feature matters because logistics software is increasingly targeted by ransomware attacks that can halt shipments for days. For the public, this means fewer delivery delays, less waste from overstocked or expired goods, and a more resilient supply chain that keeps shelves stocked even when under digital attack. The project is applied research with a clear commercial goal: a working prototype deployed in a real warehouse.