[Data Science Use Case] Consumable Replacement Prediction by a Copier Manufacturer

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.

Analysis and prediction system