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JapanLogistics and transport2022 – ongoing

SENKO Group Holdings

SAIFOMW AI system for warehouse labor planning and staff assignment

SENKO put an AI system in three warehouses to do the work of floor supervisors, with a pilot showing 14% labor-reduction potential

In progressCompany's own claim

Problem

Warehouse floor supervisors set shifts, forecast man-hours and reassigned workers by hand. The work depended on veterans and left workers waiting between tasks.

Approach

SENKO built SAIFOMW (Senko AI FOreMan and Woman) with the data-science firm JDSC. It takes order data and production plans, calculates the headcount each task needs and connects to the warehouse management and attendance systems. Testing began in January 2022 at the Inzai Logistics Center, and the system went into operation on 1 July 2024 at three sites with more than 400 staff in total.

Results

14%man-hour reduction potential found in the pilot, from cutting waiting time (an estimate, not a realized result)Company's own claim[1]
400人超staff across the three sites where the system started operating on 1 July 2024Company's own claim[1]

Takeaway

The 14% figure comes from the pilot and is an estimate of what could be saved by cutting waiting time. The article reports no measured result from the three live sites.

Categories

Business function
Production and quality
Innovation type
Process innovation
Evidence
Company's own claim

Sources

Source summaries

[1]LNEWS19 Jun 2024

Logistics trade news report on SENKO's AI operation system developed with JDSC. It describes the tasks the system takes over, the test that began in January 2022 and the start of operation at three sites on 1 July 2024. It gives a 14% man-hour reduction potential from the pilot.

Full details are in the original sources.

Added 2 Nov 2026 · Updated 2 Nov 2026
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