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.
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【Key Points of the Case】 ■Standardization and Visualization of Operations ■Improvement of Productivity in Ordering Meetings ■Reduction of Document Preparation Time ■Optimization of Inventory through Improved Forecast Accuracy ■Implementation of Standard Functions → Support for Version Upgrades
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Our company plans and develops unique solutions for supporting operational tasks in the planning system of SCM [PSI and demand adjustment] and the execution system [sales and logistics management], continuously providing products and solution services. Looking towards the future, we have set our corporate mission as "From administrative processing and manual work to business reform and value creation," aiming to accelerate the shift away from a personalized operational style in SCM business operations and achieve operational transformation. ■ Solution Concept ● Modeling the "ideal state" of operational tasks through three axes of innovation: - Organized… Information sharing and business linkage among related business organizations - Optimized… Optimization and standardization of business processes - Operation… Advancement and automation/semi-automation of decision-making tasks ● Continuously developing product models of the "ideal state" and providing unique solution services ● Promoting business reform for our customers and supporting value creation In 2022, the number of companies that have adopted our solutions exceeded 100, with published case studies demonstrating concrete value creation such as inventory optimization, cost reduction, sales expansion contributions, and work style reform.