フェアウェイソリューションズ List of Products and Services

【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

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

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

Improving Demand and Supply Planning Supported by Data and Interdepartmental Collaboration with Φ-Pilot [Challenges Before Implementation] ◼ The main tasks involved collecting and processing information from multiple Excel files and core systems. ◼ With a wide variety of low-volume products and inspection items, time spent on information gathering led to insufficient checks for stockouts. ◼ The tasks were left to individual employees, resulting in stockouts and losses due to differences in their capabilities. ◼ There was a need for a system to centralize information so that departments could communicate using the same data. [Countermeasures and Implementation Effects] ◼ Excel processing tasks were eliminated, allowing focus on demand and supply operations. ◼ Inventory and shipping statuses are now clearly displayed, enabling quick decision-making and detailed inspections, significantly improving the quality of demand and supply management. ◼ Standardizing information display in Φ-Pilot allows for consistent operations even during personnel changes. ◼ Coordination with marketing and sales can now be based on concrete numbers, enhancing operational efficiency. This has made adjustments for new products and responses to stockouts smoother.

• Purchasing Management System

Would you like to enhance your business competitiveness with 'smart' solutions? Many companies spend a lot of time and money when implementing large-scale systems, and it is often unclear whether these systems have the truly necessary functions. We strongly felt the need to solve this problem and pursued the optimal system implementation model that we can develop together with our customers to realize their vision. By adopting only the carefully selected necessary modules, we eliminate unnecessary costs and functions. We devised a method to avoid wasted investment by starting with basic functions and adding necessary features later. Furthermore, through the model comparison method, we design clear business processes together with our customers. This approach allows us to shorten the time for requirements definition and increase certainty. Additionally, pre-operation checks before the smart implementation enable a worry-free system deployment. Our ultimate goal is for our customers to quickly integrate the new system into their business and experience immediate value. We always aim to fulfill our role as a true business partner. The smart implementation initiative was born from this philosophy.

• Purchasing Management System

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

The Φ-Pilot Series is an SCM solution that identifies daily changes in supply and demand balance anomalies after the PSI planning, calculates and shares future inventory balances, and supports rapid supply and demand adjustments with relevant departments, appropriate production and ordering, and suitable inventory distribution across multiple inventory locations. (For more details, please refer to the related links.) 【Features】 ● Covers all necessary functions for proper control of planned inventory from PSI planning to inventory allocation. ● Emphasizes the discovery and countermeasures for supply and demand balance anomalies, achieving quick responses for supply and 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 shipping forecasts and constraints in transportation and procurement, calculates the appropriate replenishment amount, and aims to automate as many optimized business processes as possible. It supports operations requiring information sharing and collaboration with relevant departments and 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

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

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

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

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 reference necessary information immediately. This resulted in challenges in predicting future inventory and visibility limited to recent stock 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 tasks in the production department. In the logistics department, it also became easier to manage transfer plans, inventory adjustments, and the acceptable limits for expiration dates. In particular, amidst a very large number of products, alerts for future excess and stockouts became clearer, reducing the burden of high-accuracy PSI planning and supply-demand adjustments, and overall, the input workload was reduced to less than 60%.

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

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Fujifilm Revio Co., Ltd. Creating supply and demand management materials using spreadsheet software requires an enormous amount of effort, making the streamlining of operations and the elimination of dependency on specific individuals urgent tasks. The lack of transparency in supply and demand information among the sales, planning, manufacturing, and logistics departments posed challenges, leading us to aim for improved management accuracy to reduce labor, eliminate dependency, and minimize the risks of stockouts and waste. We began considering the introduction of a "supply and demand management system capable of managing inventory by expiration date and lot." The concept of the Φ-Pilot Series, which allows for "flexible system construction by combining necessary modules," matched our needs for systematizing complex supply and demand management tasks, and the feasibility of the proposed solution was the highest, which ultimately led to our decision. It is currently functioning as an information infrastructure used by approximately 100 people in total. About six months after the system was implemented, we achieved a "50% reduction in working hours (140 hours/month saved)" and reached "the lowest stockouts/waste in the past five years." Moving forward, we will continue to promote the "advancement, efficiency, and acceleration" of operations as the "control tower for supply and demand management."

• Purchasing Management System

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 when there were peaks in demand throughout the year. After the introduction of our product, we successfully standardized operations, allowing for smooth handovers between order managers, improved accuracy in demand forecasting, and easier maintenance of appropriate inventory levels. The ability to visualize and share information among team members enhanced the quality of meetings, resulting in shorter meeting times and easier decision-making regarding 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. - Dramatic changes in the style of ordering meetings.

• Inventory Management System

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

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Toin Trade Co., Ltd. It had become difficult to manage inventory control of products with different shipping deadlines for each manufacturing lot using only Excel. As a result, there were delays in noticing issues, leading to losses due to expired shipping deadlines, as well as risks 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 - Risks of stockouts ■ Implementation Effects - Successfully reduced losses by approximately 30% - Stockouts have become almost nonexistent

• Inventory Management System

**Feature 1**: Maximizing Order Response Capability [Arrangement Simulation] - Instantly calculates all arrangement methods, including inventory from multiple warehouses, expected arrivals, substitutes, and suppliers, to navigate delivery options for incoming orders. - Avoids missed sales opportunities due to stock shortages when orders come in, while keeping inventory to a minimum. **Feature 2**: Enabling High-Quality Operations for Anyone [Automation/Semi-Automation of Arrangements] - User-friendly screen design - Allows for instant understanding of the situation and enables optimal decision-making and execution of arrangements for shipping, horizontal transfers, and ordering. - Detailed business scenarios - Implements detailed business scenarios for all possible cases that may arise in operations. - Φ-Conductor navigates "what to do next," allowing operational staff to make rational and optimal decisions and instructions. **Feature 3**: Advanced Inventory Allocation Engine Capable of Responding to Dynamic Changes - Capable of allocation tasks that require complex inventory attributes and time management, such as time-specific allocations. - Resolves the complexity and confusion in operations caused by variations in "usable inventory" for the same product due to factors like expiration dates, customer-specific inventory, and origin specifications.

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

We would like to introduce our order arrangement automation system for the DX era, 'Φ-Conductor.' Are you facing challenges with automating inventory allocation for order orders, handling shortages caused by troubles, or systematizing irregular processing tasks? By integrating order arrangement simulation with the execution of arrangement tasks, staff can focus on decision-making, including handling irregularities, leading to expected benefits such as labor savings, effective inventory utilization, reduced logistics costs, and improved customer satisfaction. [For such concerns] ■ Automation of allocation by expiration date and lot for perishable goods ■ Automation of allocation and distribution for items in short supply ■ Inventory allocation for order orders and handling shortages caused by troubles ■ Systematization of irregular processing tasks *For more details, please refer to the PDF document or feel free to contact us.

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

Table of Contents 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 Challenges of Irregular Processing That Occur Daily ● "Visualization of the Flow of Goods" as the Foundation for Sales and Logistics Operations in the DX Era

• Order management system
• Sales Management System
• Inventory Management 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

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 that can handle 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 deals with agriculture, livestock, and fisheries, and due to the different methods of inventory management and allocation for each product, operations relied on Excel and fax, making the process complex. - With Excel management as the focus and information exchange via fax, human errors were frequent, and the volume of paper output was significant. - When seasonal demand temporarily increased the workload, additional personnel were brought in to cope. ■Implementation Effects ● The new system allows for optimal allocation simulations based on the situation, enabling a consistent process up to the confirmation of shipping instructions, significantly improving work efficiency. ● The reallocation of inventory and shipping adjustment tasks have been semi-automated through a 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.

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