Seven Bank Selects HULFT Square to Support Company-Wide Adoption of AI and Data Utilization

The Challenge

To develop a flexible infrastructure that allows seamless in-house integration of all types, including corporate systems, various service systems and business systems
To verify whether the new platform can be used as a means of utilizing generative AI

Results

Supports all system environments, from on-premise to SaaS, and easily enables data integration
Easy-to-use interface suited to Japanese business practice, facilitating in-house development
Contributes to verification of data analysis using natural language by linking with Microsoft Azure OpenAI Service

This HULFT Square case study is about Seven Bank, the financial services provider of Seven Eleven Japan. It has 28,000 ATMs and 670 business partners, and the company provides an incredible, data-centric, customer-centric experience.

Seven Bank is unique in that it holds not only bank account information but also a vast amount of shopping data generated by its stores as assets of the group. While credit cards can also be used to acquire payment data, Seven Bank has detailed receipt information on when, where, and what kind of purchases were made. Naturally, the level of granularity of the insights obtained is different. To leverage this data asset for business, the company has been working to promote and establish company-wide use of AI and data since 2018.

Recently, the company has been focusing on the use of generative AI. A crucial aspect of this process is establishing an internal data infrastructure. In addition to the bank’s accounting systems, the company has a vast number of systems that are essential to its business, including credit, e-money, and CRM for the entire group. The company had built a data infrastructure to utilize data from these systems, but considering future development, it needed a system that would allow for easier, in-house data integration from a variety of data sources.

The company selected HULFT Square as a data integration platform for collecting all types of data within the company and as a means to verify the generative AI project. Key factors in the decision included ease of use, reliability, and comprehensive support uniquely offered by a Japan-based iPaaS* like HULFT Square, as well as the ability to support diverse business systems and build a secure environment for using generative AI.

HULFT Square supports all system environments, from on-premise to SaaS, and easily enables data integration. It provides an easy-to-use interface suited to Japanese business practice, facilitating in-house development. It also contributes to the verification of data analysis using natural language by linking with Microsoft Azure OpenAI Service.

Read the full case study here.

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