CTcon: Optimizing fresh goods segment with analytics

Short description

With its large amounts of data, retail is an ideal field of application for analytics and data-based management. In food retail in particular, smartly linked and intelligently analysed data can help to significantly optimise margins and earnings.

Due to typically high markdowns, the fresh food sector in food retail has considerable leverage on margins and earnings. It is also a key driver of customer satisfaction. Analytics and artificial intelligence enable, for example, automated orders, optimised shelf replenishment and flexible pricing. Automated, store- and item-specific improvement measures to reduce markdowns are becoming a reality.

In this white paper, our colleagues Sjard Hammer, Andreas Rauh and Thorsten Schäfer provide valuable insights into how specific recommendations for action can be established to improve margins and earnings in food retail.

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