Pharmacy Inventory Transfer Bundling to Reduce Pharmacist Workload
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Solution Overview
Problem
Current pharmacy inventory management systems are inefficient as they rely heavily on pharmacists' efforts and focus primarily on moving products with short expiration dates, neglecting other important factors, and require pharmacists to take action for purchases and listing on marketplaces, leading to suboptimal performance.
Innovation Solution
A system that operates in push, pull, or combined modes, utilizing a messaging system for peer-to-peer inventory transfers, determining demand based on product utilization data, and bundling transfers by vendor pairings to reduce pharmacist workload, optimize inventory movement, and minimize shipping costs, without relying on expiration dates for redistribution opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pharmacy inventory management systems use pull-type systems relying on pharmacists to list drugs and take action for purchases, then pharmacists have control over inventory decisions, but pharmacist workload increases and system efficiency decreases
Solution Approach 1:
The system enables automatic inventory management where the system itself identifies redistribution opportunities, generates transfer requests, and executes transactions without requiring pharmacist intervention. The system serves itself by monitoring inventory levels, calculating optimal transfers, and automatically implementing them, thereby reducing pharmacist workload while improving efficiency.
Solution Approach 2:
The patent replaces the manual mechanical process of pharmacist-driven inventory management with an automated electronic system. The system uses computer algorithms to analyze inventory data, determine optimal transfer locations, and execute transfers automatically, substituting the manual effort of pharmacists with automated computational processes.
2Reliability
If pharmacy inventory systems focus heavily on moving inventory with short expiration dates, then expiration waste is reduced, but other important inventory factors are neglected and overall inventory optimization is suboptimal
Solution Approach 1:
The system performs multiple inventory optimization functions simultaneously: it considers expiration dates, current inventory levels, historical sales data, seasonal demand patterns, and geographic factors. Rather than focusing solely on expiration dates, the system universally evaluates multiple parameters to determine optimal transfer decisions, making the inventory management process more versatile and comprehensive.
Solution Approach 2:
The patent changes the parameters used for inventory transfer decisions from solely expiration-based to a multi-parameter approach. The system incorporates expiration dates along with inventory turnover rates, demand forecasts, seasonal variations, and location-specific factors, dynamically adjusting transfer decisions based on the combined weight of multiple parameters rather than a single criterion.
3Adaptability or versatility
If manual pharmacist intervention is used for inventory transfers, then transfer decisions can be customized, but time and effort required for management increases
Solution Approach 1:
The system performs preliminary analysis of inventory data, demand patterns, and optimal transfer locations before actual transfers are needed. By pre-calculating transfer opportunities and preparing transfer requests in advance, the system reduces the time required for decision-making and execution, while still allowing pharmacists to review and customize decisions when desired.
Data Source
AI summary
A system, apparatus and method manages a product inventory of two or more vendors. A demand for each product at each vendor is determined based on a product utilization data stored in one or more databases. One or more product transfers are generated based on the demand for each product at each vendor and a product inventory data stored in the one or more databases. The one or more product transfers are bundled together by vendor-to-vendor pairings. Each transfer bundle is provided to the vendors identified in the transfer bundles. An approval, a modification or a denial is received for each transfer bundle from the vendors identified in the transfer bundles. One or more transfer orders are created for the transfer bundles that are approved and modified.