Multinational Retail Company

Cross & Up Selling Analysis

“The leading global travel retailer” operates duty-free and duty-paid stores at airports, cruise ships, seaports and other tourist locations.

retail

GOAL

Analyze the shopping cart with historical store sales data to provide store personnel with a system of up-selling and cross-selling recommendations for a subset of their main products.

STRATEGY

  • Loading the sales ticket data
  • Sales analysis: amounts, number of items, assortments … by day of the week, month, family, brand and item.
  • Generation of the suggested articles matrix
  • Presentation in a dashboard in Power BI

RESULTS

  • Automation of the data acquisition process
  • Informed commercial team
  • Increase in ticket value

+ 2.400 shops

31.000 employees

31.000 employees

65 countries

2,5 billion potential consumers

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