Tokyu Housing Management implements IVRy voice AI SaaS, reducing phone response time by over 800 hours per month

IVRy Inc., operator of the conversational voice AI SaaS 'IVRy,' announced that Tokyu Housing Management has fully implemented IVRy across all 14 of its lines. A case study interview regarding this implementation has been released.

This deployment has transitioned initial reception for over 100,000 annual phone inquiries to AI, achieving over 90% automation. As a result, staff time committed to answering phones has been reduced by more than 800 hours per month.

Background and Challenges Tokyu Housing Management manages approximately 69,000 company-owned housing units (as of March 2026), providing one-stop operational support for corporate housing. With over 100,000 inquiries annually regarding contracts and procedures, the company relied on 'human wave tactics,' mobilizing nearly 60 temporary staff members during peak seasons. Staff productivity was hindered by frequent interruptions, and the lack of visibility into call volume and response status was a significant issue.

Results of IVRy Implementation Implementing IVRy across all 14 lines, staff were able to flexibly customize response flows themselves, achieving results in both 'reducing reception man-hours' and 'visualizing customer touchpoints.' - Structural Reform and Resource Reallocation: Over 90% of initial reception is now automated, integrating AI reception to immediately route inquiries to appropriate departments. This reduced time spent by staff on incoming calls by over 800 hours monthly. - Establishing a Data-Driven Improvement Cycle: Call volume, inquiry categories, and response status, which previously relied on subjective estimates, are now visualized as data. - Stability in Team Operations: AI-powered reception and case routing eliminated reliance on specific staff members and balanced workloads across teams.

Future Outlook Tokyu Housing Management aims to leverage the vast conversation data collected—100,000 dialogues annually—to analyze and structure customer needs, leading to service improvements and business process revisions.