A cloud-based supply chain solution that shares forecast values between companies and determines the optimal replenishment timing by accurately understanding inventory status.
It is a collaborative inventory optimization solution that utilizes various algorithms based on data and statistics, including past performance, the latest status, and upcoming events, to manage optimal demand quantities and the best replenishment timing in the supply chain. Additionally, it features business intelligence capabilities that allow for the visualization and understanding of analyses based on stockout situations, sales trends, and product mix derived from POS data.
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basic information
This solution operates in a robust security environment consisting of four layers. It is also possible to connect with core systems such as the ERP that your company is already using. By utilizing standard protocols such as XML and JDBC, data integration can be achieved in a short period of time.
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Applications/Examples of results
- Improvement of customer service levels Manage inventory at each location to minimize stockouts and defective inventory. Additionally, avoid the risk of lost sales opportunities due to inventory shortages and enhance customer service levels. - Reduction of labor costs for demand forecasting and ordering operations Based on several years of past data on sales, orders, and inventory, automatically select the optimal algorithm according to data trends to forecast demand. Even end users without knowledge of statistics can easily use it in a short time, enabling accurate demand forecasting. - Collaboration across the entire supply chain Even when the planned and target values differ between manufacturing and sales, efficiently calculate demand forecasts and ensure smooth collaboration with business partners. Demand forecasting and inventory management can be implemented across the entire supply chain. - Improvement of the decision-making process Consolidate sales performance (POS data) from multiple retailers into a single platform, enabling analysis of sales performance and the creation of reports for business intelligence. Analysis tasks (such as slicing, dicing, and drilling down) can be performed within a web browser, supporting analysis work and decision-making processes without the need for new infrastructure investments.
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Company information
Grid Agent Co., Ltd. was established in May 2020, changing its name from the former NeoGrid AP Co., Ltd. It serves as an agent responsible for sales and support in the Asia-Pacific region for Neogrid, which provides supply chain solutions covering strategic sourcing and distribution, and for BYRD.Health GmbH, a German company that offers GDSN-compliant global product information management solutions. Additionally, it acts as a partner providing customer support for 1WorldSync in the Asia region. Through the solutions offered by Grid Agent, users can expect the following benefits: - Significant reduction in procurement costs - Accurate maintenance of optimal inventory levels to maximize profits - Streamlining of business processes - Strengthening of internal controls and compliance The solutions from Neogrid, BYRD.Health, and 1WorldSync are provided as SaaS model services built within a robust security environment, enabling companies to efficiently enhance their competitive edge in a short period.
![[Data Science Use Case] Automation of Production Planning](https://image.mono.ipros.com/public/product/image/208/2000962805/IPROS00130346390960969342.png?w=280&h=280)
