Project: Next Generation Operational Business Intelligence using the example of the fresh food retail process

Team: Alexander Gossmann

Research institution: Universität Mannheim

Abstract: Large retail organizations have to plan customer demands accurately, to achieve customer satisfaction and loyalty. The primary objective is to avoid out-of-shelf situations. On the other hand, losses of perished goods, especially in case of fresh food, have to be minimized. The handling of the trade-off between availability and loss can be dramatically improved by a real-time analytic system. The challenge is to analyze large amounts of data (big data), typically derived from the transactions in the retail process, enhanced by external data, like weather and holidays. Different management groups require specific information with short response times at reasonable costs.

Link to the previous project: public/20132022

Last modified 7 years ago Last modified on Apr 9, 2014 6:22:14 PM