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[Case Study of Inventory Management System] Cosmetics Manufacturing Company

Reduce the time spent on demand calculation by 100 hours a year! By implementing a streamlined function, we solve issues precisely while coexisting with the existing system.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Nitto Denko Corporation, a cosmetics manufacturer. The company faced challenges in accurately grasping future inventory levels and had to manually input required quantity calculations using Excel. As a result of the implementation, by automating the required quantity calculations through CSV integration between the existing system and SmartF, they were able to reduce labor hours by 100 hours annually. [Case Overview (Partial)] ■Challenges - Due to fluctuations in lot numbers, lot records at the site were being maintained manually. ■Effects - Significant reduction in the effort required for handwritten lot records by optimizing the timing of production order issuance.

Related Link - https://smartf-nexta.com/case/nitto-ec

basic information

【Other Case Summary】 ■Solution - CSV integration of production planning and inventory data between Smart F and existing systems. ■Background of Implementation - The manufacturing volume has increased nearly twofold, making Excel-based requirement calculations insufficient. *For more details, please refer to the related links or feel free to contact us.

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Applications/Examples of results

For more details, please refer to the related links or feel free to contact us.

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How to stop using paper and Excel in production management.

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Is a cost management system necessary? Visualization guide [with self-assessment sheet]

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- Based on a wealth of over 250 successful contract development projects in the manufacturing industry, we planned and developed the production management cloud system "Smart F." - A professional company specializing in DX for the manufacturing industry, well-versed not only in IT technology but also in the operations of manufacturing sites.