Manufacturing: Predict Machine Failures Before They Happen
A manufacturing company with 25 production lines and 180 employees struggles with unplanned downtime: on average, 12 unplanned failures per year, with an average downtime of 4.2 hours and costs of €8,500 per hour. That translates to direct downtime costs exceeding €400,000 annually, before accounting for knock-on effects from delayed deliveries and scrap.
Read MoreShopfloor: Work Instructions and Fault Resolution Directly at the Machine
A manufacturing company with 350 employees produces variant-rich components for the automotive industry across 5 production lines. Each line operates with detailed work instructions, inspection plans, safety procedures, and fault resolution guides. These documents lived in paper binders at the line — outdated, hard to find, circulating in different versions.
Read MoreMechanical Engineering: Maintenance and Fault Analysis with a Local AI Copilot
A mid-sized machine manufacturer with 200 employees sells and maintains complex production systems. Its technical field service — 18 service engineers — works in a decentralized way: on-site at customer facilities every day, often with poor or no internet connectivity. When confronted with an unfamiliar fault, they used to call the home office or flip through paper manuals for hours. Design data, fault histories, and spare parts catalogues were spread across different systems — none of them usable in the field.
Read MoreManufacturing: Quality Control with Computer Vision
A mid-size automotive supplier produces over 50,000 plastic parts daily. Defective parts must be reliably identified — previously through manual visual inspection, with the associated error rate and personnel overhead.
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