SPSS Analytics Partner | Case Study – FoodService Danmark

Case Study – FoodService Danmark

Solution Components

  • IBM SPSS Modeler
  • IBM Cognos

“Insight from IBM SPSS Modeler software helps us turn insight into action – ensuring that we hit the optimal margin for each promotion, and helping to drive profitability.”

Niels Peter Habekost, CFO, FoodService Danmark

FoodService Danmark 

Lifting sales and boosting profitability with predictive analytics from IBM

 

Overview

Headquartered in Stamholmen, Denmark, FoodService Danmark is a leading wholesaler of chilled, frozen and canned food products to food processing companies and retailers. With more than 1,000 employees across the country, the company generates annual revenues equivalent to approximately USD670 million.

 

Business need

FoodService Danmark wanted to drive its profitability by boosting sales and margins. With 30,000 products in its catalogues, how could it design effective promotional bundles to achieve this goal?

 

Solution
The company is using business analytics software from IBM to enable advanced predictive modeling that helps to uncover sales-driving product combinations and design more effective promotions.

 

Benefits

With promotional bundles tailored to individual customer groups, FoodService Danmark can capture incremental sales, increase its margins and drive up profitability.

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