Bei der Nachfrageprognose im Einzelhandel geht es darum, eine Schätzung der künftigen Kundennachfrage zu entwickeln.
Dazu gehört die Analyse zahlreicher interner und externer Variablen, die sich auf die Nachfrage auswirken – von der Saisonalität über Werbeaktionen und Lagerbestände bis hin zu Markttrends.
The goals consist of:
- Improve forecast accuracy and satisfy customers with lower but reasonable inventory levels
- Plan future demand in advance and avoid longer delivery times or supply bottlenecks
The demand forecast enables demand estimates in Real-time with low effort and High accuracy.
- The storage costs for products are reduced
- Sales margins are automatically maximized
- Supply chain processes become more efficient and better able to respond to unexpected fluctuations in demand.
Digital, AI-powered demand forecasting can reduce errors in the supply chain by 30 - 50 %. The improved accuracy leads to a reduction in lost sales due to out-of-stocks by up to 65 % and inventory costs are reduced by 10 - 40 %. gesenkt.
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