What is the name of the marketing AI OS implemented at IBJ in the case study?

The marketing AI OS implemented at IBJ is called 'ENSOR' by REHATCH.

Which company developed the AI OS 'ENSOR' adopted by IBJ's event division?

The AI OS 'ENSOR' was developed by the company REHATCH.

How many users started using ENSOR at IBJ during the first month of operations?

Operations of ENSOR at IBJ began with 30 users in the first month.

What specific task can IBJ planning staff now handle independently using ENSOR?

IBJ planning staff can now independently handle minor advertising banner revisions using ENSOR.

What was the primary benefit observed by IBJ after implementing ENSOR in their event division?

IBJ significantly reduced the workload for directors and designers after implementing ENSOR.

[Case Study] Marketing AI OS 'ENSOR' implemented at IBJ: Enabling planning staff to independently handle advertising banner revisions

Published May 25, 2026 5:00 PM ・ Updated Jun 14, 2026 3:07 PM ・ 3 min read ・ Source: PR TIMES

REHATCH's marketing AI OS 'ENSOR' has been adopted by the event division of IBJ. By establishing a system where planning staff can complete minor ad banner revisions without design skills, IBJ has significantly reduced the workload for directors and designers. Operations began with 30 users in the first month, with future plans to expand across the company.

REHATCH Inc. has announced the adoption of its marketing AI OS, 'ENSOR,' by IBJ Co., Ltd., a company engaged in wedding party and matchmaking businesses.

Company Overview IBJ is a leading company in the matchmaking service industry, focusing on managing matchmaking agencies and planning wedding parties and events. With 1,908 employees and annual sales of approximately 20.2 billion yen, it offers a wide range of services in the marriage support sector.

Background of Adoption Approximately 80% of marketing production tasks involved minor revisions to existing creative materials, occupying 70-80% of directors' time.

Issues Before Adoption - Dozens of banner production requests were made monthly, but since planning staff lacked design skills, directors had to mediate and coordinate with internal designers. - 80% of production output consisted of minor revisions, consuming 70-80% of directors' workload. - High coordination costs between the planning department and designers led to time delays for minor revisions. - While designers used Photoshop, planning staff could not use design tools, preventing independent work.

Why ENSOR Was Chosen The decision was based on features that allow scaling backgrounds and styles with a single chat instruction, alongside ease of use and high generation speed.

Expectations and Future Goals Started with 30 accounts in the event planning team. The goal is to build a system where planning staff can independently create banners. Future plans include horizontal expansion to other departments within the company.

FACT BOX

Source: PR TIMES
Category: News

[Case Study] Marketing AI OS 'ENSOR' implemented at IBJ: Enabling planning staff to independently handle advertising banner revisions

⚡ Key Points

Background of Adoption Approximately 80% of marketing production tasks involved minor revisions to existing creative materials, occupying 70-80% of directors' time.

Why ENSOR Was Chosen The decision was based on features that allow scaling backgrounds and styles with a single chat instruction, alongside ease of use and high generation speed.

Expectations and Future Goals Started with 30 accounts in the event planning team. The goal is to build a system where planning staff can independently create banners. Future plans include horizontal expansion to other departments within the company.

FACT BOX

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