Specifications/Technical Information
CrowdANALYTIX
CrowdANALYTIX
[Utilization of important attribute scoring AI service]
Expand product information that leads to purchases that reflect user needs by scoring important attributes with AI
CrowdANALYTIX contributes to the improvement of searchability and the development of infrastructure for promoting DX
ASKUL Corporation, which is developing its business mainly in mail order services for businesses, has adopted Macnica 's fully customized AI service "CrowdANALYTIX" to clarify important attributes for each product category, such as color and volume. We spoke in detail with the head of the Search Data Management Department of the EC Data Creation Division of the Technology Headquarters about the background to this decision.
- Achieved scoring of attribute items in difficult-to-judge specialty product categories
- Acquiring information essential for promoting DX through digitization through scoring
- Helps determine whether the fulfillment of attribute items can contribute to sales
- データドリブンな判断が可能になり、人による属人的な運用からの脱却に貢献
Technology Headquarters
EC data creation
Head of Search Data Management
Mr. Hironobu Kosakai
Promoting enhancement of attribute items essential for product purchasing decisions
ASKUL Corporation, Ltd. develops business centered on mail-order services for businesses and mail-order services for individuals. “Delivering 'happiness' to the future of work, life and the earth. ], we are developing “Our Group's Purpose”, a mail-order service for businesses that sells the essentials of workplaces and workers, and “LOHACO”, a mail-order service for individuals that delivers daily use items at low prices and speedily. Currently, while strengthening the product lineup for the medical, nursing care, and manufacturing industries, we are working on platform reforms aimed at building the strongest B2B EC site and evolving high-speed logistics, which is our strength. He is also active in creating an environment for the realization of a sustainable service, "ethical e-commerce."
The company's e-commerce site handles about 10 million products divided into thousands of categories, and each category has the optimal attribute items related to the product, such as "capacity" and "length." We have devised ways to improve searchability, such as setting This attribute item is filled based on the information collected from the supplier who procures the product, as well as the information collected independently, and is one of the information indispensable for the purchase decision of the product. Whether you can successfully collect attribute items that reflect user needs and post them on the EC site has the potential to contribute to sales expansion.
The challenge is to visualize attribute items that lead to increased sales
However, as the company handles many long-tail products, mainly specialized products for industries such as medical care, nursing care, and manufacturing, it is difficult to determine whether the attributes required by buyers with expertise are set appropriately. The situation continued where it was not possible to objectively judge whether or not the attribute items were sufficiently satisfied. “We had been discussing the hypothesis within the company for some time that further sales expansion would be possible by satisfying the attribute items for the product. There were no clear indicators for the information required for each category, making it difficult to make appropriate decisions,” explains Hironobu Kozakai, General Manager of Search Data Management, EC Data Creation, Technology Headquarters.
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