R-Shift Data Speed
2026-03-17 00:31:16

R-Shift Accelerates Shift Management with Up to 20x Faster Data Display Speed

R-Shift Revolutionizes Shift Management with Enhanced Performance



OM Network, headquartered in Niigata, Japan, has made significant enhancements to its R-Shift cloud solution, a system specifically designed for shift management in the retail and distribution industries. The latest update features performance improvements for the optional Time Management function, particularly the Work-Specific Time Management Table. This upgrade allows for data display speeds to be accelerated by more than 20 times, effectively reducing processing time by approximately 95%.

Background and Reasoning Behind the Update



As of our latest research, the average number of stores utilizing R-Shift per company is 172. With an increase in the scale of operations and the accumulation of data, companies have occasionally faced prolonged processing times when aggregating shift and work schedule data. For analysts, delays in displaying data can interrupt their thought processes and hinder rapid decision-making based on data.

At OM Network, we believe that it is our responsibility as a SaaS provider not only to add new features but also to thoroughly refine the usability of existing functions. This performance improvement initiative underscores our commitment to enhancing customer experience and operational efficiency in store management.

What is the Work-Specific Time Management Table?



The Work-Specific Time Management Table forms the core of the Time Management function within R-Shift. It visually represents how much time each worker has spent on specific tasks across various stores, facilitating optimal labor cost distribution and productivity analysis. This feature is particularly essential for retail companies operating dozens to hundreds of locations, as it enables comprehensive data comparison and analysis across the board.

Fundamental Redesign of Database Processing



In this upgrade, we undertook a complete redesign of the SQL processing that underlies the data aggregation capabilities. Previously, the processing involved combining and aggregating multiple datasets in a way that placed considerable strain on servers. Our analysis of the entire process led to a new structure that efficiently retrieves only the necessary data. This redesign enhances scalability, ensuring that as data volumes grow, processing times do not escalate dramatically.

Results and Improvements



The upgrades have yielded significant results in our internal testing environment, demonstrating an impressive 95% reduction in execution time. The improvement in display speed results in processing times being more than 20 times faster, especially beneficial in data-rich environments where aggregating records across multiple stores is necessary.

Note: The actual performance may vary based on the testing environment, store count, and the specific aggregation period.

Future Outlook



Looking ahead, OM Network plans to extend these performance enhancements beyond the Work-Specific Time Management Table to other functionalities within R-Shift. As our customers’ businesses grow and their data volumes increase, maintaining a smooth operational experience remains our priority. For over a decade, R-Shift has been the backbone of shift management in retail, and we are committed to ensuring that it continues to facilitate effective decision-making on the ground through both enhanced features and the quality improvement of existing functions.

Company Overview


  • - Company Name: OM Network Co., Ltd.
  • - Location: Chuo Ward, Niigata City, Niigata Prefecture, Japan
  • - CEO: Shinya Yamagishi
  • - Business Nature: Development of business systems, Shift Management System 'R-Shift'
  • - Website: OM Network


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Topics Consumer Products & Retail)

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