Brycen's 'B-Luck' implemented at Nodake Shokai, achieving 900 hours of monthly operational reduction
Brycen's AI demand forecasting automated ordering system 'B-Luck' has been implemented at Nodake Shokai, eliminating siloed ordering processes and achieving a reduction of 900 hours of work per month.
📋 Article Processing Timeline
- 📰 Published: May 20, 2026 at 00:21
- 🔍 Collected: May 19, 2026 at 16:01
- 🤖 AI Analyzed: May 20, 2026 at 07:54 (15h 52m after Collected)
Brycen Co., Ltd. (hereinafter Brycen) has implemented its AI demand forecasting automated ordering system, 'B-Luck,' for Nodake Shokai Co., Ltd. (hereinafter Nodake Shokai), a food supermarket operator in Okinawa Prefecture, and has commenced operations. This implementation has reduced ordering work time by approximately 30%, achieving a total reduction of 900 work hours per month across all stores.
■ Background and Context
Nodake Shokai operates the 'Fresh Plaza Union' and 'Union Scala' food supermarkets in Okinawa, focusing on community-based store management.
Previously, ordering tasks were performed individually by personnel for each category, taking approximately 5 hours per day per store, placing a significant burden on the frontline. Furthermore, the personalization of ordering tasks led to issues such as inventory inconsistencies, stockouts, and lost opportunities.
Against this backdrop, B-Luck was introduced as a site-led project. The aim was to shift towards data-based ordering tasks and promote operational standardization.
■ Effects of Implementation
Through the implementation of B-Luck, the following effects have been confirmed:
・Achieved a total monthly reduction of approximately 900 hours of work across all stores
・Reduced ordering time by approximately 30% (from approx. 5 hours to approx. 3.5 hours per day)
・Reduced the number of staff required for ordering, realizing operational efficiency
・Achieved both stockout suppression and inventory optimization
As a result, store staff are now able to shift their time towards value-added tasks such as floor layout creation and customer service.
■ Key Points of Implementation
・Phased implementation led by the frontline (deployed starting from pilot stores)
・Ordering reform from a category-based approach to overall optimization
・Elimination of personalization through simple operations
In particular, the simple operational flow—including alarm confirmation, screen verification, and ordering—creates an environment where anyone can perform ordering tasks.
■ Future Developments
Nodake Shokai aims to further improve ordering accuracy and enhance store management by continuing to leverage sales data. Brycen will continue to support the promotion of DX in the retail industry and achieve both operational efficiency and revenue growth through B-Luck.
■ Background and Context
Nodake Shokai operates the 'Fresh Plaza Union' and 'Union Scala' food supermarkets in Okinawa, focusing on community-based store management.
Previously, ordering tasks were performed individually by personnel for each category, taking approximately 5 hours per day per store, placing a significant burden on the frontline. Furthermore, the personalization of ordering tasks led to issues such as inventory inconsistencies, stockouts, and lost opportunities.
Against this backdrop, B-Luck was introduced as a site-led project. The aim was to shift towards data-based ordering tasks and promote operational standardization.
■ Effects of Implementation
Through the implementation of B-Luck, the following effects have been confirmed:
・Achieved a total monthly reduction of approximately 900 hours of work across all stores
・Reduced ordering time by approximately 30% (from approx. 5 hours to approx. 3.5 hours per day)
・Reduced the number of staff required for ordering, realizing operational efficiency
・Achieved both stockout suppression and inventory optimization
As a result, store staff are now able to shift their time towards value-added tasks such as floor layout creation and customer service.
■ Key Points of Implementation
・Phased implementation led by the frontline (deployed starting from pilot stores)
・Ordering reform from a category-based approach to overall optimization
・Elimination of personalization through simple operations
In particular, the simple operational flow—including alarm confirmation, screen verification, and ordering—creates an environment where anyone can perform ordering tasks.
■ Future Developments
Nodake Shokai aims to further improve ordering accuracy and enhance store management by continuing to leverage sales data. Brycen will continue to support the promotion of DX in the retail industry and achieve both operational efficiency and revenue growth through B-Luck.
FAQ
How much operational efficiency can be expected with B-Luck?
In this case, ordering time was reduced by approximately 30%, saving a total of 900 hours per month across all stores.
What kind of retail stores is B-Luck suitable for?
It is ideal for grocery supermarkets or retail stores experiencing stock shortages or lost opportunities due to manual, personalized ordering processes.
Is the implementation hurdle high?
No, it allows for phased implementation led by the front-line, enabling a smooth rollout starting from pilot stores.