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AI-based demand forecasting creates planning reliability in the textile industry

AI-based demand forecasting creates planning reliability in the textile industry
Key Points

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how systematically integrated at the same time? To address this issue, Fraunhofer IWU developed an AI-powered demand forecasting tool for frottana Textil GmbH & Co. KG, the company behind the MÖVE brand.

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how systematically integrated at the same time? To address this issue, Fraunhofer IWU developed an AI-powered demand forecasting tool for frottana Textil GmbH & Co. KG, the company behind the MÖVE brand. The tool intelligently analyzes historical sales data and provides companies with a robust, data-driven basis for sales and order planning; in a subsequent step, production planning could also be adapted.
Fraunhofer IWU (ORG) AI (ORG) frottana Textil GmbH & Co. (ORG) MÖVE (ORG)
Originally published by Phys.org Read original →