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Case Study of Total Picking Method Implementation

We can improve picking efficiency.

We are picking 344 customers and 1,266 products per day. We have adopted a "single picking method," where products are prepared for each shipping destination, and we pick items while visually confirming the shelf numbers and products with the shipping slips for each destination. We faced challenges such as "the inability to reduce picking errors" and "securing personnel," so we introduced an "IT-enabled total picking method" aimed at reducing human errors and improving the efficiency of travel distance and work time. Regarding the implementation, instead of adding functions to the core system, we built a dedicated picking system.

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