o9ソリューションズ・ジャパン List of Products and Services

We would like to introduce a case study on the implementation of "o9 Digital Brain" for our client in the food and beverage industry. The company faced challenges with low demand forecasting accuracy and was unable to utilize timely indicators. After implementation, they applied o9's highly differentiated machine learning (ML) forecasting capabilities to both internal and external demand drivers, resulting in improved forecasting accuracy, reduced bias, and effective information provision to the sales team. [Case Overview] ■Challenges - They were unable to quickly consider supply and demand scenarios. - Key scenarios were created using spreadsheet software, making appropriate decision-making difficult. ■Results - They became capable of executing advanced supply and demand matching algorithms while considering constraints (such as expiration dates, campaigns, and logistics/storage capacity). *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" for a customer in the electronics industry. The company was operating in an environment where many planning systems were siloed, making it impossible to achieve true end-to-end visibility across the entire supply chain. After implementation, they integrated various planning functions across the organization and market areas, shortening the overall end-to-end planning cycle and improving visibility and efficiency. [Case Overview] ■Challenges - Frequent occurrences of inventory shortages and surpluses, with only 10% of SKUs having healthy inventory across the entire network. ■Results - Significant improvement in inventory management through the calculation of statistical and supply-based safety stock. - Streamlined supply planning across the entire supply chain, including the creation of purchase orders and transfer instructions. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" for our customer in the capital goods industry. In this company, delays in the supply of critical components necessitated a time-consuming replanning process, resulting in significant delays of several days. After implementation, they were able to confirm supplier constraints, enabling rapid replanning of critical components using interactive scenario modeling and supplier collaboration features. [Case Overview] ■Challenges - Lack of transparency regarding disruptions in the supply chain of primary and secondary suppliers. ■Results - The Enterprise Knowledge Graph (EKG) was used to model primary and secondary suppliers, allowing real-time visualization of disruptions occurring at the suppliers. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" for our customer in the manufacturing industry. The company lacked appropriate forecasting capabilities, and the final confirmed orders were almost the sole basis for decision-making. With the introduction of o9, the customer was able to gain an overview of all data and information related to demand planning, and share that information with internal and external stakeholders to enhance collaboration. 【Case Overview】 ■Challenges - The financial team did not have sufficient tools or capabilities to check the status of orders or plan future sales. ■Results - By utilizing o9's features, they were able to convert demand planning in quantity units into monetary values and reflect various contract conditions, such as lease periods by order. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" for our client in the machinery industry. The company struggled to plan across their globally interconnected network to respond to international distribution orders from manufacturing plants (with a lead time of one day), subsidiaries, and third-party manufacturers. After the implementation, they were able to create network plans that considered various conditions, enabling rapid inventory movement and calendar adjustments between customers and suppliers. [Case Overview] ■Challenges - Matching demand and supply required many resources, leading to a reliance on manual processes. ■Results - They were able to develop supply plans while frequently updating information on available inventory, expected arrivals, and shipping details to meet customer demand. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at an American industrial aluminum company. In this company, the production process involves multiple stages, including both internal and external operations, requiring sequencing to maximize uptime, which was traditionally planned using Excel. After the implementation, by visualizing the process, they were able to improve the demand fulfillment rate and proactively identify solutions to anomalies that affect performance. [Case Summary] ■Challenges - The existing IT environment was complex, and all planning tasks were conducted on Excel. ■Results - By integrating the planning process into an open cloud-native platform, they achieved smoother and more integrated data collaboration between internal and external operations. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at a multinational technology company in the high-tech electronics industry. The company had established a very complex and challenging process to create plans for servers and network equipment used in their global data centers. After the implementation, a seamless integration and workflow between different processes (demand forecasting, materials planning, capacity planning) were established, resulting in a user-friendly planning process. [Case Overview] ■ Challenges - Needed a framework and technology for planning processes to support explosive business growth. ■ Results - Was able to design a unique and detailed supply chain network for planning. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at a customer company in the chemical industry. The company faced challenges with low forecasting accuracy and was lagging about two months behind industry standards in timing. There was a strong demand for improvements in signals related to demand to properly adjust capacity. After implementation, they utilized the consensus forecasting planning process and enhanced the tracking function for forecast deviations. This led to improved forecasting accuracy and better timing. [Case Overview] ■Challenges - Due to the inability to see capacity loads 3 to 5 months ahead, they faced business constraints regarding raw materials and capacity. ■Results - Achieved complete visibility of the supply chain on a single integrated cloud-native platform. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at a biopharmaceutical (biosimilar) company. The company primarily focused on financial data, but there was no established system for generating and managing supply chain-related data such as bill of materials (BOM), bill of distribution (BOD), planning items, and inventory visibility. After the implementation, the integration of the digital twin of the supply chain with ERP (SAP) was achieved, enabling end-to-end visualization of supply chain data. 【Case Overview】 ■Challenges - Planners managed supply chain-related data, while the marketing team managed related data, each using siloed Excel sheets, leading to inconsistencies. ■Results - A single integrated platform was used for master planning, reducing manual work and ensuring consistency. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" for a customer company in the office supply industry. In this company, the accuracy of order and sales planning was low, primarily relying on outdated metrics. After the implementation, by consolidating onto a cloud platform and utilizing forecasts developed with Facebook's "Prophet," they were able to improve accuracy. [Case Overview] ■Challenges - The loading plans for trucks were done manually, which was very labor-intensive. ■Results - By automatically creating loading plans that consider truck loading rates and the number of pallets, they were able to accurately estimate the number of trucks needed. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at a multinational paint company in the Indian chemical industry. The company required a lot of manual work to modify purchase requisitions every day. After the implementation, a purchasing support tool was created, automating the entire process of monitoring raw material procurement rates, creating purchase orders, and approvals. 【Case Overview】 ■Challenges - To match demand with raw materials, the schedule for raw material deliveries needed to be linked with the factory's inventory levels. ■Results - By efficiently utilizing a heuristic solver, we were able to match demand, supply, and inventory, creating an efficient schedule. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at a multinational company that provides products for manufacturing and process automation. In this company, various planning systems were operated in a siloed environment, making it impossible to visualize the entire supply chain. A true digital twin of the supply chain has been established, allowing for the integration of various demand and supply planning functions across the organization. [Case Overview] ■Challenges - The planning team spent a significant amount of time on numerical calculations such as data validation, collection, manipulation, and report creation. ■Results - The most time-consuming manual tasks were automated. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study of a multinational company that supplies reliable green power, such as hydropower and solar energy, which implemented the "o9 Digital Brain." In this company, there was a lack of visibility regarding constraints and costs from capacity planning of molds to installation at customer sites. After implementation, they were able to obtain a digital twin that visualizes project-based demand, blade manufacturing and transportation, as well as mold manufacturing capacity and costs. **Case Summary** ■ Challenges - Due to the fragmentation and siloing of business processes and the supporting systems, planners were unable to collaborate across multiple departments. ■ Results - They were able to acquire a unique capability to connect all functions and all planning processes on a single integrated platform. *For more details, please download the PDF or feel free to contact us.*

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at a tire and rubber production company. The existing S&OP process lacked sufficient visibility for prioritizing supply risks and capacity, making it difficult to make executable decisions based on financial analysis efficiently. After the implementation, we were able to quickly detect planning discrepancies and respond to changes in the market environment by understanding and leveraging various demand drivers. [Case Overview] ■Challenges - Frequent occurrences of excess inventory and stockouts led to potential obsolete inventory, sometimes necessitating additional price promotions. ■Results - Demand drivers were also utilized for performance analysis and were used by the sales team to propose product assortments to dealers. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" for a customer company in the tire industry. At this company, strategic planning (for the past 5-7 years) was conducted on Excel without utilizing key market trends or macroeconomic trends. After the implementation, they were able to establish long-term demand plans by incorporating leading indicators of demand and key market trends, allowing for an accurate understanding of market size and market share trends. 【Case Overview】 ■Challenges - Most constraints were stored only as information on Excel or as individual knowledge, making it impossible to create long-term capacity plans. ■Results - By executing various scenarios, they were able to accurately assess profitability, expenses, capital costs, and inventory through long-term demand-supply matching. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at a steel wire manufacturer. The manufacturer faced issues with inaccurate raw material planning, which made it impossible to consider detailed BOM composition, lead times, and alternative sources in their supply model, leading them to conduct analyses using Excel. After the implementation, they were able to create a master plan that includes detailed BOM, materials, capacity constraints, and lead times, significantly improving the accuracy of their raw material planning. [Case Overview] ■ Challenges - Lacked appropriate capacity planning, making accurate inventory allocation difficult. ■ Results - Utilized scenario-based capacity planning integrated with demand planning, enabling accurate budget assessments for each sales representative. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at a global technology company in the semiconductor industry. The company was managing forecasts through manual processes, relying on a cumbersome setup of disparate spreadsheets, the Adexa system, and emails. After the implementation, they were able to seamlessly create forecasts across all timeframes—weekly, monthly, quarterly, and annually—allowing them to respond effectively in terms of both quantity and value. [Case Overview] ■Challenges - Managing wafer inventory was difficult, and there was a high dependency on manual planning, often leading to overestimations in inventory accuracy. ■Results - It became possible to improve the planning processes for both buffer and wafer plans, enabling more efficient and agile inventory management and a reduction in wafer inventory. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" for our client in the telecommunications industry. This company faced challenges related to the demand and inventory planning of mobile base stations, associated with the rollout of 5G, coverage strategies, and recent mergers. After implementation, they were able to link each process, accurately forecast demand, and plan the right inventory in the right locations. 【Case Overview】 ■Challenges - The transition from 3G and 4G to 5G required advanced phase-in and phase-out planning. ■Results - Excellent analytical results regarding phase-in and phase-out planning were obtained, leading to the resolution of upgrade issues, reduction of risks associated with the retrieval of old items, and efficient management. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" at an international oil and gas company. The company heavily relied on manual processes and primarily used Excel, which led to data-related issues and a lack of visibility in inventory. After the implementation, they established a single integrated data source that allows for complete visualization of sales, inventory, and supply chain planning. [Case Overview] ■Challenges - Due to reliance on manual processes and the use of only lagging indicators for forecasting, demand forecasting accuracy was low, leading to a tendency for high inventory levels. ■Results - By incorporating internal and external demand drivers into the ML (machine learning) forecasting function, they achieved optimization and reduction of inventory levels. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study on the implementation of "o9 Digital Brain" in a publicly listed company in the oil and gas industry. In this company, most of the planning processes were conducted manually using Excel, which led to data issues and made it difficult to understand the inventory situation. After the implementation, they were able to visualize sales, inventory, supply chain planning, and more end-to-end on the cloud-native o9 integrated platform, allowing for better collaboration. [Case Overview] ■Challenges - There were issues with the data structure, and since the data was not integrated, it was impossible to have an overview of all data and processes. ■Results - By incorporating internal and external demand forecasts into o9's unique ML (machine learning) capabilities, they achieved optimization and reduction of inventory levels. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study of implementing o9 at one of Canada's largest retail companies. The company faced various challenges, such as difficulties in inventory planning considering store capacity constraints and low visibility of store inventory, which hindered replenishment according to store demand. After implementation, they achieved prioritized allocation considering constraints for each store. Additionally, it brought about various benefits, including improved productivity for planners. 【Implementation Effects】 ■ Improved accuracy of AI/ML-based forecasts ■ Achieved prioritized allocation considering constraints for each store ■ Achieved prioritized allocation considering store constraints ■ Enabled rapid decision-making through collaboration between merchandising, supply chain, and store operations ■ Increased productivity of planners *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study of the implementation of o9 at a major global dairy manufacturer. This manufacturer faced various challenges, including significant variability in forecasting accuracy and quality, as well as managing the forecasting process in Excel while using SAP APO as the execution layer. After implementation, bias was improved in almost every week. Additionally, by incorporating detailed promotional information, it became possible to globally forecast the uplift from promotions, resulting in a variety of benefits. 【Main Implementation Details and Scope】 ■ Automation of past anomaly corrections and segmentation of the product portfolio ■ Best-fit forecasting including machine learning driver-based models using internal and external drivers such as promotions, holidays, and weather ■ Decomposition of weekly forecasts of past shipment performance into daily forecasts using smart AI analytics *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study of the implementation of o9 at a major global healthcare product supplier. This supplier faced various challenges, including reliance on manual processes for many operations and difficulties in tracking the evolution of forecasts and related assumptions over cycles. After implementation, the accuracy of sell-in forecasts improved by an average of 2-5%, and sell-out forecast accuracy improved by over 10%. Additionally, it brought about various benefits such as visualization of effects and enhancement of forecast accuracy. 【Main Implementation Details and Scope】 ■ Created sell-in and sell-out forecasts using multiple internal and external metrics ■ Integrated forecasting data through a collaborative workflow-enabled integrated demand planning platform, achieving cross-departmental collaboration ■ Optimized forecasts using o9's open architecture with industry-leading approaches and algorithms *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study of implementing o9 at a major global automotive parts supplier. This supplier faced various challenges, including significant variability in the quality and accuracy of forecasts from OEMs, demand forecasting and capacity checks being conducted in Excel with scattered data. After implementation, planners' productivity improved by about 15-25%. Additionally, it brought various effects such as an increase in task automation rates. 【Implementation Effects】 - Demand forecast accuracy improved by 10 percentage points, reaching the 80% range. - Planners' productivity increased by about 15-25%. - Task automation rates improved (estimated at 30% from the initial baseline). - Decision-making cycles accelerated from monthly to weekly levels. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study of the implementation of o9 at a major global food manufacturer. This manufacturer faced various challenges, including low forecast accuracy based on long lead time metrics, and the creation of demand forecasts, financial forecasts, and commercial forecasts based on different datasets and assumptions. After implementation, the machine learning capabilities significantly improved forecast accuracy and successfully reduced bias. Additionally, it achieved an average improvement of 5 to 8 percentage points in forecast accuracy, resulting in various benefits. [Background of Implementation] - There was low forecast accuracy based on long lead time metrics. - The majority of the demand planner's working hours were spent on Excel-based planning, leaving little time to focus on critical tasks. - Demand forecasts, financial forecasts, and commercial forecasts were created based on different datasets and assumptions. - They were considering a transition from SAP APO and Blue Yonder. *For more details, please download the PDF or feel free to contact us.*

• Software (middle, driver, security, etc.)

The modern supply chain is being buffeted by the turbulent waves of change. What consumers are seeking is fast delivery, diverse shipping options, and above all, the ability to purchase affordable and high-quality products. Amid uncertainty, complexity, and instability, o9 Digital Brain supports companies in actively and boldly challenging the times. With the powerful automation and analytical capabilities of o9 Digital Brain, insights reflecting current and future market forecasts can be provided to various related departments, along with corporate strategies and constraints. [Overview] ■ Customers are always right: Consumer behavior is changing ■ Utilizing leading indicators for forecasts ■ Supporting business challenges with o9 Digital Brain ■ Features of o9 Digital Brain *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

The "new normal" has arrived in the automotive industry due to various changes. How can automotive manufacturers build a robust supply chain in response to many challenges? We will introduce ways to utilize technology for problem-solving. [Main contents of the white paper] - Transformation of the ecosystem - Planning for problem-solving - Effects brought by the SCM platform "Digital Brain" *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

Challenges of supplier collaboration and risk management in the supply chain faced by many companies. Based on our experience in implementing solutions for various customers, we will introduce how o9 Digital Brain provides benefits and solves these challenges. Please feel free to contact us when you need assistance. 【Main Contents of the White Paper】 ■ Reasons why supplier collaboration is difficult ■ Scope of o9 Digital Brain's response ■ Examples of o9 Digital Brain's implementation *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)