Automated Aging Inventory Identification and Recommendation Engine
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Solution Overview
Problem
Conventional inventory management approaches are prone to errors, time-consuming, and unable to provide real-time insights into aging inventory, leading to inefficient supply chain management and potential revenue and resource losses.
Innovation Solution
A method and system that utilize a centralized repository to retrieve and parse inventory datasets, identify aging inventory based on expiration dates or holding periods, and generate recommendations for handling aging inventory, including inventory replenishment and distribution, based on predefined rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional inventory management approaches are used, then manual tracking and monitoring are performed, but errors increase and time consumption increases
Solution Approach 1:
The patent replaces manual mechanical inventory tracking with an automated computer-based system that uses processors to retrieve, parse, and analyze inventory data from centralized repositories, eliminating manual errors and reducing time consumption
Solution Approach 2:
The system enables self-service inventory management by automatically retrieving data from centralized repositories, parsing inventory datasets, identifying aging inventory, and generating recommendations without requiring manual intervention
2Loss of information
If manual inventory monitoring is performed, then basic tracking is achieved, but real-time insights into aging inventory are not provided
Solution Approach 1:
The patent implements feedback by continuously retrieving inventory data from centralized repositories, analyzing it in real-time, and generating actionable recommendations about aging inventory that are fed back to supply chain managers for immediate decision-making
Solution Approach 2:
The patent introduces a computer-based recommendation engine as an intermediary between the centralized repository and supply chain managers, automatically parsing inventory data and generating insights about aging inventory that would otherwise be difficult to obtain in real-time
3Area of stationary object
If aging inventory is not identified promptly, then storage space is optimized, but revenue loss and resource wastage increase
Solution Approach 1:
The patent applies preliminary action by proactively identifying aging inventory before it becomes obsolete or expires through automated analysis of inventory data against predefined criteria, enabling timely intervention to prevent resource wastage and optimize storage space
Solution Approach 2:
The patent uses parameter changes by comparing inventory data against predefined parameters such as aging thresholds and expiration dates to automatically identify aging inventory, enabling dynamic decision-making based on changing inventory conditions
Data Source
AI summary
Techniques for identifying aging inventory and generating recommendations for managing the aging inventory are described. In an example, inventory datasets may be retrieved from a centralized repository, such as an EPCIS repository. An inventory dataset includes at least a unique identifier of a product, hierarchy data between different products, and a status of the product at different instances. The inventory datasets may be analysed to identify aging inventory. The aging inventory include a product inventory for which an expiration date is approaching, a product inventory which has stored in an inventory storage facility beyond a stipulated time, and so on. The aging inventory may be identified based on determination of manufacturing date of the products. Based on the aging inventory, recommendations may be generated for disposal of the aging inventory. The recommendations may be based on a set of rules.