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Project

"Foxtrot. The equipment for the house" implements JDA Demand

Customers: Foxtrot. Equipment for the house

Kiev; Trade

Contractors: JDA Software
Product: JDA Demand

Project date: 2015/01

The company JDA Software Group, Inc., solution provider for supply chain management, announced in February, 2015 that Fokstrot company, the retailer of home appliances and electronics in Ukraine, implements the solutions JDA Demand and JDA Demand Classification for improvement of a possibility of demand forecasting at the level of each shop. New solutions of JDA will replace former process of forecasting which did not allow the company to consider in details special consumer demand in each of 224 shops of network across all Ukraine.

As well as at most of retailers, consumer demand Foxtrot depends on location of shop. The average size of network is more than 290.000 square meters. As the purpose of the company is growth of sales volume, Foxtrot aims at demand forecasting at the local level to provide existence of right product assortment in each shop.

The solutions JDA will allow to improve considerably efficiency, accuracy and speed of a response of the current process of forecasting Foxtrot. Because the company aims to make transparent the actual requirements of buyers, the supply system will depend more and more on the existing consumer demand, leaving an opportunity for quick response to any changes.

"Before the implementing solutions JDA Demand and JDA Demand Classification we had no tool to estimate levels of consumer preferences in process of their changes in each separate shop, - Ivan Stefoglov, the head of department supply chains of Fokstrot company says. – As forecasting process was based on the semi-automated processes earlier and substantially relied on expert opinion, reaction to changes occupied a progressive tense. It limited an opportunity for quick response to the shifts in demand of buyers. Thanks to new solutions of JDA we will be able quickly to estimate in the automatic mode local consumer requirements on the basis of actual data. Process of forecasting will become more effective and exact. Besides, we will be able quickly to respond to the local requests of consumers. Thus we are going to increase our income and also satisfaction of our buyers".