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Coop Norge

Coop Norge is one of Norway's largest retailers, operating grocery stores and other retail formats.

Coop Norge logo
Coop Norge logo
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Needs

Coop Norge aimed to deliver personalised communication and targeted promotions by leveraging insights into Norway's population. This required restructuring their SAP architecture (Commerce, Marketing, CAR with PMR) on Azure, integrating with Dunnhumby, and utilising machine learning for promotion algorithms.

Solution

We defined a new Target Operating Model (TOM) for Coop Omnichannel.

  • Data Solution:
    SAP Marketing on Azure, loaded with 350M historical data records and 2.6M households. PIM data including Article Hierarchy and Merchandise Category. Dunnhumby for BI and yCOM B2C platform for non-food/DIY sectors (stock inventory, SAP Billing). Google Cloud for Analytics and Big Data.

  • Integration Solution:
    Restructured target architecture: SAP Commerce, SAP Marketing, SAP Gigya, SAP CRM, SAP Retail, SAP CAR, AMR with PMR (Promotion), connected via BizTalk and SAP CPI to Dunnhumby.

  • Data Science Solution:
    Applied SAP Marketing and SAP Analytics together with Google Cloud ML. Created Python programs using machine learning algorithms and Deep Neural Networks (TensorFlow) with BigQuery ML to generate advanced SEO search terms. Deployed Azure Machine Learning algorithms for promotions.

Achievements

  • Personalised Communication Programme:
    Led the Coop Ordering and Communication programme.

  • Target Architecture Redesign:
    Restructured architecture for SAP Commerce, Marketing, Gigya, CRM, Retail, CAR, PMR with Dunnhumby integration on Azure.

  • Machine Learning for Promotions:
    Utilised Azure cloud with Machine Learning algorithms for promotions, and Google Cloud ML with Python/TensorFlow for SEO.

Benefits

  • Targeted Customer Promotions:
    Delivered personalised communication and promotions.

  • Data-Driven Marketing:
    Leveraged unique population insights and historical data for effective campaigns.

  • Optimised Promotional Strategy:
    Used machine learning to enhance the effectiveness of promotions.

  • Modernised Retail Architecture:
    A restructured SAP landscape on Azure supporting omnichannel goals.

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