How Foodbag slashes its delivery costs

Box filled with vegetables

Foodbag

Foodbag is a Belgian meal box pioneer that brings fresh, local, and seasonal ingredients directly to customers’ homes. Known for its high-quality recipes and strong customer experience, Foodbag has positioned itself as a frontrunner in the growing meal box market.

Real-time analytics to replace manual reporting & support smarter decisions

Foodbag was already a frontrunner in quality, recipe innovation, and customer engagement. However, as demand grew, the company faced increasingly complex challenges:

  1. Managing rising order volumes while maintaining quality and timely delivery.
  2. Balancing operational costs with competitive pricing.
  3. Gaining better financial visibility across multiple product lines and regions.

The existing reporting methods were manual and fragmented, relying heavily on spreadsheets. This made it difficult for managers to quickly identify cost drivers, track profitability per recipe, and forecast demand. Foodbag needed a reliable, scalable analytics solution that could provide real-time insights and support data-driven decision-making.

Computer screen with data analytics.

Our solution

Infofarm implemented an operational efficiency reporting platform which offers insights in cost per delivery, food cost per meal box and margins on dish levels.

Key features include:
Automated dashboards for revenue, margin analysis, and operational KPIs.
Recipe-level profitability insights, identifying which meal boxes drive growth and which underperform.
Detailed personalization capabilities that increase the value for each of its customers.

This project positioned Foodbag to evolve from a rapidly growing start-up into a scalable, data-driven enterprise. By creating a single source of truth, Foodbag can optimize decision-making across finance, supply chain, and customer engagement, ensuring resilience and competitiveness in a fast-moving market.

Results

Foodbag can now use these understandings to re-route delivery plans and optimize food cost without compromising the quality of their meals. Additionally, the following benefits became apparent within weeks:

  • 80% reduction in manual reporting time, freeing staff from repetitive work in Google Sheets.
  • Recipe-level profitability insights enabled management to adjust pricing and promotions more effectively.
  • Faster decision-making at both operational and strategic levels.

By adopting this solution, Foodbag not only improved its current performance but also laid the groundwork for scalable growth and long-term profitability. The project showcased how advanced analytics can transform a high-growth company into a data-driven leader in its sector.

Scale with confidence through intelligent analytics. Let our farmers help you and harvest the benefits!