Your Future Project you CAN Re IMAGING

Coop Norge

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

white textile on brown wooden table

Needs

Coop Norge aimed to deliver personalized 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 utilizing machine learning for promotion algorithms.

Solution

A new Target Operating Model (TOM) was defined 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: Developed proficiency in SAP Marketing and SAP Analytics, leveraging 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

  • Personalized Communication Program: Led the Coop Ordering and Communication program.

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

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

Benefits

  • Targeted Customer Promotions: Delivered personalized communication and promotions.

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

  • Optimized Promotional Strategy: Used machine

    learning to enhance the effectiveness of promotions.

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