Fraunhofer IWU AI Tool Boosts Demand Forecasting for Textile Maker

Fraunhofer IWU has introduced an AI‑powered demand‑forecasting tool designed to help textile manufacturers like frottana Textil GmbH & Co. KG—owner of the MÖVE brand—improve the reliability of sales forecasts, digitise production capacity planning and systematically capture employee know‑how. The system processes historical sales data to generate a robust, data‑driven basis for sales and order planning, enabling companies to align production schedules more precisely with anticipated demand.

By feeding the forecast into the production planning workflow, the tool allows for real‑time adjustments of manufacturing capacities, reducing the risk of over‑ or under‑production. The digital platform also records the expertise of staff involved in the forecasting and planning processes, ensuring that tacit knowledge is preserved and can be leveraged in future decision‑making cycles.

With this integrated approach, frottana Textil can expect tighter alignment between market demand and production output, while also safeguarding valuable employee insights for continuous improvement. The Fraunhofer‑developed solution positions the company to respond more swiftly to market shifts and to optimise resource utilisation across its supply chain.