Semi-automating the allocation and shipping adjustment tasks for weekly orders based on expiration dates of fresh imported goods, significantly improving efficiency.
We would like to introduce a case study of the implementation of 'Φ-Conductor' at a major general retail product procurement company.
"We have established an order and allocation system that can handle all fresh imported products (raw materials, semi-finished products, and finished products in agriculture, livestock, fisheries, and floriculture)."
【Case Overview】
■Challenges
- The fresh imported goods division deals with agriculture, livestock, and fisheries, and due to the different methods of inventory management and allocation for each product, operations relied on Excel and fax, making the process complex.
- With Excel management as the focus and information exchange via fax, human errors were frequent, and the volume of paper output was significant.
- When seasonal demand temporarily increased the workload, additional personnel were brought in to cope.
■Implementation Effects
● The new system allows for optimal allocation simulations based on the situation, enabling a consistent process up to the confirmation of shipping instructions, significantly improving work efficiency.
● The reallocation of inventory and shipping adjustment tasks have been semi-automated through a simulation function.
● By web-enabling requests to related companies, we achieved a paperless environment.
● Even during busy periods or when transactions increased, we were able to manage with the current staff.
*For more details, please refer to the PDF document or feel free to contact us.
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