Waste occurs in inventory and logistics! A case of improving the efficiency of delivery units for consumables and reducing logistics costs.
We would like to introduce a case that enabled the prediction of consumable replacements at a copier manufacturer. The timing for replacing consumables such as copier toner varies by customer, so a method of regularly delivering consumables leads to waste in inventory and logistics. Therefore, we developed an AI engine to predict consumable replacements for each customer. This allows for replenishment/replacement before consumables run out, reduces waste in consumable inventory, and further streamlines the logistics of consumables. 【Case Overview】 ■Industry: Manufacturing ■Business: After-sales service ■Challenges: Reducing logistics costs, optimizing inventory ■Analytics/AI Solution ・Developed an AI engine to predict consumable replacements for each customer *For more details, please refer to the PDF document or feel free to contact us.
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**Effects** - Improvement in the quality of after-sales service: Replenishment/replacement before consumables run out - Reduction of consumable inventory: Maximization of order units for consumables. Reduction of inventory holding period - Streamlining of logistics: Efficiency in delivery units of consumables and reduction of logistics costs *For more details, please refer to the PDF document or feel free to contact us.*
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For more details, please refer to the PDF document or feel free to contact us.
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We provide comprehensive support for our customers' DX promotion and data utilization. Our support includes analysis by data scientists and engineers from academic backgrounds, assistance with product utilization, and the establishment of data science organizations within our customers' companies, tailored to meet their needs. Please feel free to contact us if you have any requests.
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