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Kiabi increases in-store product availability by 7% by optimising supply chain management with machine learning
Feb. 2, 2019
Summary:
Kiabi is piloting machine learning to analyse historic sales data to improve its supply chain management. Its forecasting extends to predicting demand for seasonal and permanent product stock using a supply management platform to also ensure orders from suppliers are put in on time.
Problem:
Intensified competition in the ready-to-wear clothing retail sector has increased the variety and seasonal style ranges that stores must stock in order to meet customer demand. Retailer Kiabi now stocks six different collections per year, which requires an increased precision in inventory planning and management, and supply chain oversight.