Abstract:
Inventory control for a product catalogue of 3000 products is carried out by two
managers at ComputerShop. While there is a substantial level of automation of
product flow in this company, there is no analysis of inventory levels, nor of trends in
demand for each product. Inventory management thus is an area that imposes a high
workload on the managers and is characterized by the usual problem of inventory and
demand being poorly balanced. In this paper we have studied two techniques that can
be applied to detect turning points in a sequence of sales data. We have demonstrated
that both of these techniques can be used to support the partial automation of
decisions on inventory control.
