Demand and supply management solution - List of Manufacturers, Suppliers, Companies and Products

Demand and supply management solution Product List

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【Φ-Conductor Introduction Case】Yoshinoya Holdings Co., Ltd.

【Φ-Conductor Introduction Case】Yoshinoya Holdings Co., Ltd.

Introducing a case where business integration of multiple stores and various business types was achieved on the same system.

We would like to introduce a case study of the implementation of "Φ-Conductor" at Yoshinoya Holdings Co., Ltd. The system environment was divided vertically by business units such as "Yoshinoya" and "Hanamaru," with inventory, logistics, and commercial flow systems operated individually, which hindered the overall logistics efficiency of the group. After the introduction of our product, a foundation for joint management and joint delivery was established by centrally managing the precise inventory of multiple businesses and brands, and we were also able to achieve the unification of logistics information for traceability. [Case Overview] ■ Challenges - Standardization of business processes - Standardization/centralization of masters - Support for precise allocation and arrangement operations ■ Implementation Effects - Integration of business systems across multiple businesses, achieving significant reduction in system costs - Standardization of complex operational processes for each outsourced delivery center - Integration of system infrastructure, built in a cloud environment *For more details, please refer to the PDF document or feel free to contact us.

  • Order management system
  • Sales Management System
  • Inventory Management System

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[Φ-Pilot Introduction Case] Bourbon Co., Ltd.

[Φ-Pilot Introduction Case] Bourbon Co., Ltd.

This is an example of systematizing the calculation and examination of demand forecasting, achieving the standardization and automation of complex supply and demand planning tasks.

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Bourbon Co., Ltd. The demand (shipment) forecasting process had become complex, and the calculation of production requirements was primarily done manually, requiring a lot of effort and time. By adopting a method that customizes only the necessary parts based on a package model, we were able to reliably operate an information infrastructure that aggregates sales and production information, such as shipment forecasting calculations and production requirement calculations, in a short period of time, achieving standardization and automation of operations. As a result, we were able to reduce the labor hours for production planning by about half compared to before the implementation.

  • Purchasing Management System

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【Φ-Pilot Introduction Case Study #1】 Fuji Oil Co., Ltd.

【Φ-Pilot Introduction Case Study #1】 Fuji Oil Co., Ltd.

This is an example of a business reform that achieved inventory placement optimization by changing the inventory replenishment operations for logistics hubs (warehouses) from a "warehouse responsibility system" to a "product category responsibility system."

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Fuji Oil Co., Ltd. Previously, each warehouse had personnel performing inventory replenishment tasks, which meant that as the number of warehouses increased, so did the labor costs. The more warehouses there were, the more difficult it became to control the inventory balance between them. By using a method to distribute the optimal amount of inventory from higher-level warehouses to lower-level warehouses instead of replenishing each warehouse individually, we were able to achieve both labor reduction and optimal inventory balance among lower-level warehouses simultaneously, resulting in approximately 40% labor savings. Additionally, the introduction of the Φ-Pilot facilitated standardization, allowing for flexibility in tasks such as substitutes during vacations and job rotations, ultimately achieving 100% telework and work style reform.

  • Purchasing Management System

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Supply Chain Management Control Tower Solution Φ-Pilot

Supply Chain Management Control Tower Solution Φ-Pilot

A solution for inventory optimization and work style reform that combines necessary modules for PSI planning, supply and demand adjustment, and multiple warehouse inventory allocation, allowing for flexible system construction.

The Φ-Pilot Series is a control tower solution for supply and demand management that identifies abnormalities in the supply-demand balance of future inventory, which changes daily after the PSI planning, calculates and shares information on future inventory balance, and supports rapid supply-demand adjustments with relevant departments, appropriate production and ordering, and suitable inventory distribution to multiple inventory locations, acting as a "bridge between the factory and the customer." **Features** - Covers all necessary functions for proper control of future inventory from PSI planning to inventory allocation. - Emphasizes the discovery and countermeasures for supply-demand balance abnormalities, achieving quick responses for supply-demand adjustments. - Clarifies ambiguous operations by comparing current operations with standard business models, enabling speedy and reliable implementation. The Φ-Pilot Series predicts "how much inventory will be needed at what point in the future" by considering demand forecasts and constraints related to transportation and procurement, calculates the appropriate replenishment amount, and aims to automate business processes that can be optimized as much as possible. It supports operations requiring information sharing and collaboration with relevant departments, as well as human judgment, through alert and simulation functions, implementing the most practical balance of functionalities. There are numerous case studies demonstrating value creation in inventory optimization, cost reduction, sales expansion contributions, and work style reform.

  • Inventory Management System

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[Φ-Pilot Implementation Case] Uka Co., Ltd.

[Φ-Pilot Implementation Case] Uka Co., Ltd.

Significant improvement in operational efficiency! Achieved inventory optimization! Here is a case where the visualization of future inventory was shared by the entire logistics team.

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Uka Co., Ltd. Previously, the monitoring of future inventory dynamics and the ordering decision-making process were based on the experience of the responsible personnel, making it difficult for others to understand whether the approach was appropriate or not. After the introduction of our product, standardization of operations progressed, enabling information sharing and task distribution within the logistics team, and facilitating active exchange of opinions. [Case Overview] ■ Challenges - Significant time and effort were required for preparation before entering the ordering decision-making process. - Ordering mistakes occurred, and issues with inventory shortages and surpluses also arose. ■ Implementation Effects - Automating the acquisition and aggregation of necessary data significantly improved operational efficiency. - By establishing standard ordering criteria and control standards for future inventory, it became possible to maintain optimal inventory levels.

  • Inventory Management System

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[Φ-Pilot Implementation Case Study #2] Fuji Oil Co., Ltd.

[Φ-Pilot Implementation Case Study #2] Fuji Oil Co., Ltd.

This is an example of a business reform that achieved a 25% reduction in labor by transferring the inventory replenishment operations for customer-designated warehouses (VMI) from the sales department to the logistics department.

We would like to introduce a case study on the implementation of the "Φ-Pilot Series" at Fuji Oil Co., Ltd. The inventory replenishment for customer-designated warehouses (VMI) was reliant on individual sales representatives using Excel and other tools, resulting in inconsistent formats and procedures, leading to a business style dependent on individuals. This made it difficult to increase the number of customer-designated warehouses handled. In a previous logistics department project, we had established a system for optimal inventory placement among major warehouses through the introduction of Φ-Pilot. This time, we aimed to understand the actual demand for customer-designated warehouses and optimize VMI warehouse inventory replenishment using Φ-Pilot. As a result, sales representatives were able to focus on their core sales activities. Additionally, inventory placement at major warehouses became more accurate, bringing us closer to building a more advanced supply chain and a sustainable logistics system.

  • Sales Management System

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[Φ-Pilot Introduction Case] Maruzen Food Industry Co., Ltd.

[Φ-Pilot Introduction Case] Maruzen Food Industry Co., Ltd.

Start promoting DX in the Production Headquarters with smart implementation!

Controlling the balance of supply and demand that changed during the COVID-19 pandemic [Challenges Before Implementation] - Veteran employees were relying heavily on Excel to perform their tasks, depending entirely on individual discretion. - Due to high workload and lack of time, there was insufficient opportunity to review and adjust production plans. - Information sharing (visualization) and consensus building between the sales and production departments were inadequate. [Measures and Implementation Effects] - Successful standardization of operations through smart implementation using standard package functions, allowing us to discard the previously used Excel and eliminate dependency on individuals. - We were able to start full-scale operations aimed at reducing work time by 60%. - Coordination tasks between the sales and production departments were facilitated through Φ-Pilot, enabling smooth business collaboration through shared information.

  • Purchasing Management System

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[Φ-Pilot Implementation Case] Ito Kyuemon Co., Ltd.

[Φ-Pilot Implementation Case] Ito Kyuemon Co., Ltd.

Exploring the efforts of supply and demand adjustment that support Hisaemon Ito's new challenge!

Centralized information management of PSI from sales planning to material ordering, establishing a one-stop operational system. 【Challenges Before Implementation】 - As the number of product items increased, the workload also grew, making efficiency a challenge. - The ordering process had become a person-dependent task using Excel, making it difficult for anyone other than veteran employees to perform the work. - Materials were ordered regardless of the production plan, leading to excessive material inventory. 【Countermeasures and Implementation Effects】 - It became possible to manage everything from sales planning to product and material ordering in a seamless manner, significantly improving operational efficiency. - New employees were able to engage in order consideration tasks immediately, allowing for smooth handovers of work. - By understanding the timing and quantity of material orders in line with the production plan, unnecessary orders were reduced, and excessive material inventory was nearly eliminated.

  • Purchasing Management System

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[Φ-Pilot Implementation Case] Nakajima Taishodo Co., Ltd.

[Φ-Pilot Implementation Case] Nakajima Taishodo Co., Ltd.

Work hours for supply and demand adjustment operations reduced by 570 hours annually! - Achieved a 60% reduction in stockouts and a 40% reduction in expiration date losses through early detection -

【Challenges Before Implementation】 ■ Unable to break away from relying on human intuition and experience ■ Stockout and excess inventory figures have not improved for 20 years ■ Multiple Excel sheets exist, contributing to individual dependency ■ Data updates are labor-intensive and mistakes occur frequently 【Countermeasures and Implementation Effects】 ■ Successfully reduced approximately 570 hours annually by replacing Excel operations with φ-Pilot ■ Ability to anticipate issues through inventory anomaly alerts, resulting in a reduction of about 40% in expired product losses and approximately 60% in stockout rates compared to the previous year ■ Real-time information sharing has led to a reduction of about 20% in sudden changes to factory plans ■ Improved communication between departments through information sharing has facilitated smoother business collaboration

  • Purchasing Management System
  • Inventory Management System
  • Logistics and warehouse management systems

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