Flywheel Increases New Mutual Aid Enrollment Rate by 30.8% for Coop Kobe Through Cross-Business Data Utilization
Flywheel has achieved a 30.8% increase in new mutual aid enrollment rates for Coop Kobe by leveraging data across its business segments.
📋 Article Processing Timeline
- 📰 Published: March 28, 2026 at 16:46
- 🔍 Collected: March 28, 2026 at 21:59 (5h 12m after Published)
- 🤖 AI Analyzed: April 15, 2026 at 07:53 (417h 54m after Collected)
Flywheel, Inc. (Headquarters: Chiyoda-ku, Tokyo; CEO: Naoto Yokoyama), a provider of data utilization platforms, announced that it has built an "AI-Ready Data" infrastructure for the Consumers' Co-operative Kobe (Headquarters: Kobe, Hyogo; hereinafter "Coop Kobe") using its data utilization platform, "Conata®," and implemented a cross-business data integration project.
In this project, purchase data from the home delivery business and data from the mutual aid business were integrated and analyzed. The results revealed that, contrary to initial expectations, there was a higher need for mutual aid among "regular purchasers of basic food items like milk" than among the "childcare product purchaser segment." By applying this insight, the project achieved a dramatic 30.8% increase in the new mutual aid enrollment rate compared to traditional methods.
Background: Abundant Data, but No Method to Translate into Action
Coop Kobe, one of Japan's largest co-ops with 1.71 million members, operates three main businesses: "Retail Stores," "Home Delivery," and "Mutual Aid." While they were confident that connecting these businesses via IDs would provide a multi-faceted perspective, establishing a method to translate vast amounts of data into concrete marketing actions had been a long-standing challenge. Seeking to break through the situation of "having strong co-op data but not knowing how to use it" and to discover insights beyond human intuition, the co-op partnered with Flywheel to take on the challenge of "future-oriented data utilization."
Value Provided and Future Outlook: Discovery of Unexpected Correlations and Rapid Results
Using "Conata®," Flywheel built an analysis model in just two months. Over three weeks, they performed 10 rounds of model tuning, proving the following value:
Identification of the "True Target" that defied predictions: Visualized that the need for mutual aid was higher among "members with strong trust in the co-op who regularly purchase milk and bread" than the initially expected childcare product segment.
Cross-business synergy through AI-Ready Data*: Integrated IDs across each business into a state immediately ready for AI analysis.
Proven Impact: AB testing results showed a 30.8% increase in new mutual aid enrollment.
Moving forward, the goal is to go beyond linking home delivery to mutual aid, and instead circulate data bidirectionally across all businesses to promote "warm digital utilization" that supports each member's life stage.
*What is AI-Ready Data?: Data that has been organized and integrated so that it can be immediately read by AI and analysis tools. It is a crucial step in transforming "unusable data" stored in disparate formats into "actionable tools."
Comment from Mr. Hideki Marui, Coop Kobe
"Data is an accumulation of the past, but there is a limit to human ability when it comes to predicting future movements from it. By utilizing Flywheel's AI, I strongly feel that we have finally reached the threshold of the 'data visualization and utilization' we had envisioned."
Future Outlook
Flywheel continues its mission to "turn data into energy for people" and...