Europe's largest convenience-store network with 12,000+ franchised locations
Żabka Polska operates a franchise-driven convenience model across Poland with over 12,000 stores serving millions daily. The tech stack—Snowflake, SAP, Power BI, Salesforce, Anaplan—reflects a finance and operations-heavy infrastructure; concurrent hiring across finance, security, HR, and logistics signals investment in backend systems and supply-chain digitalization. Pain points cluster around reporting automation (eliminating manual copy-paste), process mapping, and transitioning customer-service operations from reactive to proactive—areas where their recent Anaplan adoption and active projects on contact-center transformation suggest active modernization.
Żabka Polska is the operational hub of the Żabka Group, one of Europe's leading convenience-store networks. The company manages over 12,000 franchised locations across Poland, each serving hyperlocal customer demand for fast, accessible FMCG products and services. The franchise model relies on partnerships with over 10,000 independent entrepreneurs, distributed across the country. Founded in 1998, Żabka has scaled through integration of digital solutions, operational technology (SAP, Salesforce, Snowflake), and sustainability practices. The organization serves millions of transactions daily and operates logistics, HR, finance, and customer-support functions to sustain the network.
Snowflake for data warehousing, SAP for ERP, Power BI and DAX for analytics, Salesforce Service Cloud for customer support, Jira and Confluence for collaboration, and Anaplan for financial planning. CCTV and TMS support operations and logistics.
Priority projects include contact-center transformation (proactive support), customer journey mapping and personalization, logistics-solution implementation, automated reporting and process documentation, and budgeting systems. Pain points center on eliminating manual workflows and transitioning operations from reactive to proactive models.
Żabka Polska's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.