OM Network Co., Ltd. (Headquarters: Niigata City, Niigata Prefecture), provider of "R-Shift," a shift management SaaS for the retail and distribution industries, has implemented an update to its "AI Easy Setup" feature. This feature automatically calculates various settings required for monthly shift auto-creation based on past data. The update significantly reduces the upload time for past shifts, which is a prerequisite for this function.

This improvement will substantially reduce setup waiting times during initial implementation and new store openings, supporting a smoother start to automatic shift creation.

[Background and Purpose of Development]

To maximize the benefits of the automatic shift creation function, it is necessary to pre-register a wide range of rules in the system, such as "required staffing levels," "shift patterns," and "employee work styles" for each store. While this allows for detailed setup of ideal shift creation conditions, challenges such as the time required for setup on a new system and resistance to the process have existed.

To address these challenges, our company offers the "AI Easy Setup" feature, which automatically constructs the necessary settings based on past shift data. This time, we have revised the algorithm for the "past shift upload process," which is the preparatory step for this feature, and significantly reduced processing time. We believe that not only adding new features but also thoroughly refining the user experience (UX) during the implementation phase is crucial, leading to this performance improvement.

["AI Easy Setup": Initial Setup in Minutes Achieved Through Mathematical Technology]

"AI Easy Setup" is an assistance feature designed to smoothly initiate automatic monthly shift creation.

Normally, preliminary settings for creating better shifts are done manually one by one. However, by simply uploading past shift data, AI (mathematical technologies such as statistics) analyzes and learns, automatically completing basic settings in a few minutes.

AI Easy Setup Screen

<Main Contents Automatically Set and Extracted>:

Required Staffing Levels by Store and Time Slot: Calculates the number of staff required for each time slot based on past shift schedules.

Example of Required Staffing Level Settings

Shift Patterns: Automatically extracts standard working hour blocks actually used on-site.

Employee Work Styles: Individually learns the tendencies of each staff member's standard working days, days of the week, and time slots.

By analyzing past performance using a statistical approach, complex shift rules that were previously "tacit knowledge" on-site are visualized and immediately reflected in the system.

[Update Details: Significant Reduction in Upload Time]

In this update, we have revised the processing program for importing past shift data. This has resulted in a significant reduction in waiting time when uploading large amounts of past performance data, by more than 50% in some cases. For one user, an upload that previously took over 30 minutes was completed in approximately 12 minutes (Note: Actual times vary depending on data registration status and environment).

Previously, processing delays occurred depending on the data volume. With this improvement, the process from data upload to the completion of "AI Easy Setup" can now proceed seamlessly and without stress.

[Future Outlook]

OM Network will continue to focus not only on expanding the functionality of "R-Shift" but also on improving its usability, such as streamlining the implementation and setup processes.

We aim to evolve it into a product that allows anyone to easily handle advanced technologies like statistics and mathematical optimization, contributing to the DX (Digital Transformation) of store operations and the reduction of workload for store managers.

[Company Profile]

Company Name: OM Network Co., Ltd.

Location: Chuo-ku, Niigata City, Niigata Prefecture

Business Activities: Business system development, Shift management system "R-Shift"

Company Website: https://www.omnetwork.co.jp/

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FACT BOX

  • Source: PR TIMES
  • Category: 製品アップデート
  • Organizations: R-Shift