IKEA
Year:
2022
Service:
Predictive Operations Automation
Industry:
Logistics
Size:
+ 200,000 employees
Client Website:
Global retailer IKEA wanted to explore how AI could improve the way store teams access operational knowledge and support customers on the floor. An Experimenta operator worked with product and digital teams to prototype an AI-powered assistant capable of retrieving operational procedures, product information, and troubleshooting guidance in real time for store employees.
Introduction
Railspeed moves freight across Europe at scale. Thousands of cargo containers. Hundreds of routes. Dozens of locomotives requiring constant maintenance. It's an operation built on precision — except their systems were anything but precise.
The company was scaling fast, but their infrastructure hadn't kept pace. Train schedules lived in one system. Maintenance logs in another. Cargo tracking in a third. Fleet telemetry? Buried in sensor data nobody had time to analyze. When something broke, teams scrambled. When delays happened, they reacted. Planning was guesswork dressed up as strategy.
Railspeed's leadership knew they were sitting on mountains of valuable data — they just had no way to act on it. They needed a system that could think faster than their planners could coordinate.
