Development of a customer behavior data analytics platform and recommendation service
First written in FY2020. 2 of 3 entries say "Advanced", first in FY2021-Q1. Latest entry: FY2021.
The whole theme swung hardest in 2018: 1 of 9 companies on the "Worse" side.
13 other companies' latest entry also says "Advanced".
- FY2021AdvancedAnnual report
「The company began providing “RinzaTarget,” an AI customer data analytics service supporting corporate promotional strategies. It is a secure cloud service that uses the company’s accumulated data analysis methods and AI (machine learning) analysis algorithms and can process more than several tens of billions of records. The company has also begun providing a “Marketing Data Analysis Assessment Service,” in which data scientists analyze purchasing data across channels to maximize customer lifetime value, enabling customers to progress to using “RinzaTarget.”」
RinzaTarget has been developed into a secure cloud platform capable of processing more than several tens of billions of records and a purchasing data analytics service spanning multiple channels. - FY2021-Q1AdvancedAnnual report
「“RinzaTarget” uses the company’s accumulated data analysis methods and AI analysis algorithms to combine and analyze data obtained from online and offline purchasing experiences, including purchases at physical stores and through smartphone apps for members, and supports the development of new promotional initiatives.」
For its customer behavior data analytics and recommendation initiatives, the company began providing “RinzaTarget,” which combines online and offline purchasing data, and adopted it for a sales promotion service. - FY2020First statedAnnual report
「The company began developing a service that delivers optimal recommendations based on individuals’ preferences and behavioral characteristics to customers of financial institutions and other businesses. Through smartphone-focused channels, it will activate digital communication between businesses and customers by proposing services suited to customers’ living environments and life plans.」
The company began developing a recommendation service that analyzes customers’ preferences and behavioral characteristics and proposes optimal services through smartphones.