Logotype for Coca-Cola HBC AG

Coca-Cola HBC (CCH) Status Update summary

Event summary combining transcript, slides, and related documents.

Logotype for Coca-Cola HBC AG

Status Update summary

9 Jul, 2026

Strategic relevance and growth drivers

  • Data, Insights, and Analytics (DIA) is a core capability driving personalized execution, revenue growth, and adaptability across all business areas.

  • DIA connects and accelerates bespoke capabilities, enabling faster, more precise market actions and uncovering new opportunities.

  • Growth ambitions are supported by investment in talent development, customer management, and digital commerce.

  • Continuous investment in data and AI has created a 360-degree customer view, integrating internal and external data for granular segmentation.

  • DIA has contributed to resilient results and competitive advantage, even in challenging markets.

Application of DIA in commercial execution

  • Segmented execution enables personalized offers and marketing for each outlet, maximizing relevance and growth.

  • AI-driven microsegments identify the best outlets for affordable and premium products, with successful case studies in Bulgaria and Poland.

  • Promotion optimization tools analyze ROI and effectiveness, guiding investment and improving joint value with customers, with proven results in Italy.

  • HoReCa channel growth is driven by AI-enabled lead identification, opportunity maximization, and automated outlet universe mapping.

  • DIA tools are live in multiple markets, supporting new customer recruitment and deeper penetration in existing outlets.

Data quality, scalability, and collaboration

  • Robust data governance ensures high-quality, validated data inputs, with humans in the loop for local relevance.

  • Tools are scalable across countries and categories, with ongoing investment in user adoption and capability building.

  • Collaboration with the Coca-Cola Company enables holistic consumer and customer data integration, driving targeted recruitment and innovation.

  • Data-driven approaches have enabled rapid, localized responses to regulatory changes and market volatility.

  • Continuous upskilling and AI literacy initiatives support widespread adoption and effective use of DIA tools.

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