Inventory analysis and management optimization method of smart pharmacy management system
By calculating pharmacy inventory weights, distribution cost factors, and demand coefficients, an outbound and inbound plan is developed to optimize pharmacy inventory management, solving the problem of low drug supply efficiency in multi-pharmacies collaborative operations and achieving inventory balance and cost minimization.
CN121544184BActive Publication Date: 2026-05-15HUNAN SPACE FOLDING INTERNET TECH CO LTD
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Patent Information
- Application Number
- CN202610071009.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-20
- Publication Date
- 2026-05-15
- Estimated Expiration
- 2046-01-20
AI Technical Summary
Technical Problem
Traditional pharmacy management systems suffer from low drug supply efficiency and both shortages and stockpiles of similar drugs in multi-pharmacies collaborative operations, lacking networked collaboration and dynamic adjustment capabilities.
Method used
By acquiring current orders, historical orders, pharmacy inventory levels and location data, we can calculate inventory weights, delivery cost factors, demand coefficients, and inbound adjustment coefficients to formulate outbound and inbound plans and optimize pharmacy inventory management.
Benefits of technology
It has achieved inventory balance and minimized distribution costs in a multi-pharmacies network, solved the problem of regional shortages and backlogs of medicines, and improved the efficiency of medicine supply.
✦ Generated by Eureka AI based on patent content.
Abstract
The present application relates to the technical field of inventory management, and particularly relates to an inventory analysis and management optimization method of a smart pharmacy management system, comprising: acquiring a plurality of current orders, a plurality of orders in a historical time range, inventory quantities of various medicines in pharmacies, and locations of the pharmacies; acquiring a delivery cost factor of each pharmacy for each current order according to the inventory quantities of various medicines in the pharmacies and demand quantities of various medicines in the current orders, in combination with distances between each pharmacy and each current order and distances between each current order; acquiring an inventory quantity of each medicine in each pharmacy according to a quantity of orders fulfilled by each pharmacy at each location in the historical time range, and further formulating an in-out warehouse plan for each medicine in each pharmacy in combination with the delivery cost factor of each pharmacy for each current order. The present application analyzes pharmacy locations, inventory and order data, and cooperatively formulates a reasonable in-out warehouse plan for multiple pharmacies to improve medicine supply efficiency.
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