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Demand and supply management solution Product List

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

【Φ-Conductor Case Study】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. Due to the vertical system environment at the business company level, such as "Yoshinoya" and "Hanamaru," where inventory, logistics, and distribution systems are operated individually, the efficiency of logistics across the entire group was hindered. 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 the unification of logistics information for traceability was also achieved. [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 tasks for each externally contracted 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.

  • Production Management System
  • Purchasing Management System
  • ERP Package

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[Φ-Pilot Implementation Case] Seiko Time Lab Co., Ltd.

[Φ-Pilot Implementation Case] Seiko Time Lab Co., Ltd.

This is an example of significantly improved order processing efficiency through "automated demand forecasting and visualization of future inventory."

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Seiko Time Lab Co., Ltd. Previously, demand forecasting was merely an extension of simple average shipment volumes, which led to risks of stockouts and excess inventory during peak demand periods throughout the year. After the introduction of our product, we successfully standardized operations, enabling smooth handovers between order managers. The accuracy of demand forecasting improved, making it easier to maintain appropriate inventory levels. Visualization and sharing among team members enhanced the quality of meetings, resulting in shorter meeting times and easier decision-making for orders. [Case Overview] ■ Challenges - Each product category was managed by individuals relying on their experience for ordering, leading to a lack of standardization. ■ Implementation Effects - Successful standardization of operations. - Smooth handovers between order managers became possible. - The style of ordering meetings dramatically changed.

  • Production Management System

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

[Φ-Pilot Implementation 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, which took a lot of time and effort. By using an implementation method that customizes only the necessary parts based on a package model, we were able to reliably operate an information infrastructure that consolidates production and sales 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.

  • Production Management System

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

【Φ-Pilot Implementation Case #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 the upper warehouses to the lower warehouses, we were able to achieve both labor reduction and optimal inventory balance among the lower warehouses simultaneously, resulting in approximately 40% labor savings. Additionally, the introduction of the Φ-Pilot facilitated standardization, allowing for flexibility in business delegation during vacations and job rotations, ultimately achieving 100% telework and work style reform.

  • Production Management System

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

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

This is an example of realizing a system that centrally manages everything from demand forecasting to production planning and inventory planning, enabling the necessary information to be shared and collaborated on among specialized departments.

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Tarami Co., Ltd. Demand forecasting, production planning, and product inventory information were managed in fragments using Excel in each department, making it difficult to quickly reference necessary information. This resulted in challenges in predicting future inventory and visibility was limited to recent inventory levels, leading to risks of excess and stagnant inventory as well as potential future stockouts. With the centralization of PSI management information (data), the sales department found it easier to check inventory status and shipment forecasts, which improved the accuracy of demand forecasting and eliminated unnecessary manual work in the production department. The logistics department also found it easier to manage transfer plans, inventory adjustments, and the acceptable limits for expiration dates. In particular, amidst a very large number of products, it became possible to identify alerts for future excess and stockouts, reducing the burden of high-accuracy PSI planning and supply-demand adjustments, and overall, the input workload was reduced to less than 60%.

  • Production Management System
  • Purchasing Management System
  • Other production management systems

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[White Paper] Enhancing Sales and Logistics Operations in the DX Era

[White Paper] Enhancing Sales and Logistics Operations in the DX Era

Automation and enhancement of sales logistics operations that integrate order receipt, delivery, and ordering processes for the DX era.

Table of Contents 1 1. The Necessity of Automating and Enhancing Sales and Logistics Operations for the DX Era ● Current Issues (Negative Effects of Order Management Operations Due to Constraints of Existing Core Systems) ● Key Factors Required for Business Operations in the DX Era 2. Visualization of Business Operations ● Ideal State of Sales and Logistics Operations ● Support for Maintaining Daily Operational Quality in Sales and Logistics ● Improvement Activities for Operational Quality ● Direction for Systematizing Sales and Logistics Operations for the DX Era 3. Digitalization of Analog Operations ● Representative Challenges ● Digitalization of Operational Information ● Ripple Effects of Digitalizing Operational Information 4. Visualization of the Flow of Goods ● Examples and Issues of Irregular Processing that Occur Daily ● "Visualization of the Flow of Goods" as the Foundation for Sales and Logistics Operations in the DX Era

  • Sales Management
  • ERP Package
  • Production Management System

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【Φ-Conductor Implementation Case】Major General Retail Product Procurement Company

【Φ-Conductor Implementation Case】Major General Retail Product Procurement Company

Semi-automating the allocation and shipping adjustment tasks for weekly orders based on expiration dates of fresh imported goods, significantly improving efficiency.

We would like to introduce a case study of the implementation of "Φ-Conductor" at a major general retail product procurement company. "We have established an order and allocation system capable of handling all fresh imported products (raw materials, semi-finished products, and finished products in agriculture, livestock, fisheries, and floriculture)." 【Case Overview】 ■Challenges - The fresh imported goods division handles agricultural, livestock, and fishery products, and due to the differing inventory management and allocation methods for each product, operations have become complex, relying on Excel and fax. - With Excel management as the primary method and information exchange via fax, human errors frequently occurred, and the volume of paper output was significant. - When seasonal demand temporarily increased the workload, additional personnel were hired to cope. ■Implementation Effects ● The new system allows for optimal allocation simulations based on the situation, significantly improving work efficiency by enabling a consistent process up to the confirmation of shipping instructions. ● The reallocation of inventory and shipping adjustment tasks have been semi-automated through a scheduling simulation function. ● By web-enabling requests to related companies, we achieved a paperless environment. ● Even during busy periods or when transactions increased, we were able to manage with the current staff. *For more details, please refer to the PDF document or feel free to contact us.

  • ERP Package
  • Sales Management
  • Production 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-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 proper inventory distribution to multiple inventory locations, acting as a "bridge between factories and customers." **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 any 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 information sharing and business linkage 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 areas such as inventory optimization, cost reduction, sales expansion contribution, and work style reform.

  • Production Management System

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[Φ-Pilot Implementation Case] Uka Corporation

[Φ-Pilot Implementation Case] Uka Corporation

Significant improvement in operational efficiency! Achieved inventory optimization! Here is an example of how the logistics team was able to share the visualization of future inventory with everyone.

To Uka Corporation, we would like to introduce a case study of the implementation of the "Φ-Pilot Series." Previously, the dynamics of future inventory monitoring and order decision-making 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 division of labor within the logistics team, and facilitating active exchange of opinions. [Case Overview] ■Challenges - Significant time and effort were required for preparation before entering the order decision-making process. - Order 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 appropriate inventory levels.

  • Production Management System

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[Φ-Pilot Implementation Case] Tominaga Trading Co., Ltd.

[Φ-Pilot Implementation Case] Tominaga Trading Co., Ltd.

Achieving a 30% reduction in food waste! Introducing examples that have also led to increased awareness and morality regarding food waste.

To Toinaga Trading Co., Ltd., we would like to introduce a case study of the implementation of the "Φ-Pilot Series." It has become difficult to manage inventory control for products with different shipping deadlines for each manufacturing lot using only Excel. As a result, delays in noticing issues led to losses due to expired shipping deadlines, as well as the risk of stockouts. With our product's expiration date monitoring system, we successfully detected products that were likely to expire in the future early on and took proactive measures, resulting in approximately a 30% reduction in losses. [Case Summary] ■Challenges - Losses due to expired shipping deadlines - Risk of stockouts ■Implementation Effects - Successfully reduced losses by approximately 30% - Stockouts have almost ceased to occur

  • Production Management System

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

[Φ-Pilot Introduction 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 of 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. Therefore, 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.

  • Production Management System

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

[Φ-Pilot Implementation 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. [Countermeasures and Implementation Effects] - Successful standardization of operations through smart implementation using standard package features allowed us to discard the previously used Excel and eliminate reliance 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.

  • 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!

Centralize the information for PSI management from sales planning to material ordering, and establish 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 subjective task using Excel, making it difficult to perform without experienced employees. - Materials were ordered regardless of the production plan, leading to excessive inventory of materials. 【Countermeasures and Implementation Effects】 - We were able to manage everything from sales planning to product and material ordering in a streamlined manner, significantly improving operational efficiency. - New employees can now immediately engage in order consideration tasks, making the handover of duties smoother. - By understanding the timing and quantity of material orders in accordance with the production plan, unnecessary orders have decreased, and excess inventory of materials has been reduced to nearly zero.

  • Purchasing Management System

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