Case

Enabling self-service analytics for Sligro's sales team

With two-thirds of its turnover now generated online, Sligro is becoming a digital-first company. Find out how Sligro is using self-service analytics to boost its sales.
Last modified on March 20, 2026 • 2 min read
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Enabling self-service analytics for Sligro's sales team

Market leader in food services  

Sligro, market leader in food services in the Netherlands, has the ambition to grow internationally. To make this possible, she is investing in a new ERP environment, with the aim of realizing a uniform way of working in a scalable model. With two-thirds of its turnover now generated online, the family business and listed company is responding to the trend of digitization. By using a data-driven approach, she aims to personalize and improve the services to her customers, as well as to streamline her own operations.

  •   Sales market in the Netherlands & Belgium
  •   B2B foodservices
  •   Delivery and cash & carry

Scattered and conflicting insights  

In recent years, Sligro has developed an Enterprise Data Warehouse that serves as a source for more than 1,500 reports. Started within Finance, this platform now serves 1,100 users from Marketing, Sales, Purchasing, Logistics, HR and other departments. However, the insights offered are now quite static and not always mutually comparable. The focus on digitization requires Sligro to take a different approach to data and analytics. The current platform does not support self-service insights. Squadra was therefore asked to initiate a transition to a new way of working, supported by a new self-service tool.

  •   Legacy systems
  •   Need for new way of working
  •   Squadra introduces self-service analytics

Data-driven way of working for sales  

Squadra specializes in Analytics, among other things. She has therefore helped Sligro with the transition to a new data-driven way of working. In the first phase of implementation, Squadra realized a self-service analytics environment for 60 employees within Sales. Partly as a result of this, 10 to 20% of the existing information products have been rationalized.

  •   Data-driven way of working
  •   Self-service analytics for sales
  •   Up to 20% reduction of existing information products
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