Case Study: Martin & Servera scales in-house retail media revenue with Algonomy Recommend™ and DSW

Martin & Servera validates Retail Media in 7 months with Algonomy

Martin & Servera, Sweden's leading foodservice wholesaler, partnered with Algonomy to address their challenge of building a new retail media revenue stream. They sought to monetize their B2B e-commerce platform with sponsored product recommendations but lacked the infrastructure to automate placements, manage supplier campaigns efficiently, and ensure ad relevance without resorting to a costly third-party ad solution.

Using Algonomy's Recommend™ with Data Science Workbench, Martin & Servera built a flexible in-house solution. This allowed them to automatically inject personalized sponsored products into key placements like search results. The program, managed by a small team, successfully validated retail media as a scalable revenue stream for Algonomy's customer, onboarding numerous suppliers within its first year while maintaining full control and avoiding vendor lock-in.

Martin & Servera