Out Of Stock Sensor Weight Measurement Inventory Tracking
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Solution Overview
Problem
Retail stores face challenges in accurately tracking inventory levels and locating misplaced items due to the manual and time-consuming processes of restocking and inventory management, leading to lost sales, especially during peak seasons.
Innovation Solution
The implementation of an Out Of Stock (OOS) sensor system that measures the weight and size of items on display equipment, communicates changes in inventory wirelessly, and alerts remote computing devices to update inventory information, enabling real-time tracking and notification of low stock or misplaced items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual scanning and inventory checking is performed by employees, then inventory tracking is possible, but time consumption and labor requirements increase significantly
Solution Approach 1:
The patent replaces manual mechanical scanning and visual inventory checking with electronic weight sensors that automatically detect item placement and removal. The sensor system electronically measures weight changes on shelves to track inventory levels, eliminating the need for employees to manually scan barcodes or visually inspect shelves, thereby resolving the contradiction between tracking accuracy and time consumption
Solution Approach 2:
The inventory system performs self-monitoring through automated weight sensors that continuously track item quantities without human intervention. The system automatically detects when items are placed on or removed from shelves, calculates inventory levels, and triggers restocking alerts, enabling the inventory management system to serve itself without requiring employee time for manual checks
2Reliability
If employees manually monitor and restock items, then inventory levels can be maintained, but productivity during peak seasons decreases
Solution Approach 1:
The patent implements a feedback mechanism where weight sensors continuously monitor inventory levels and automatically trigger restocking notifications to employees or automated systems when items reach low-stock thresholds. This real-time feedback loop ensures inventory availability is maintained while eliminating the need for continuous manual monitoring, thereby improving productivity during peak seasons
Solution Approach 2:
The system performs preliminary detection of low inventory levels before complete stockout occurs by continuously weighing items on shelves. When the weight indicates approaching depletion, the system proactively alerts staff to restock, enabling timely replenishment actions that maintain inventory availability without requiring constant employee attention or reducing overall productivity
3Loss of information
If comprehensive inventory monitoring is implemented, then misplaced items can be detected, but system complexity increases
Solution Approach 1:
The patent divides the retail storage space into discrete monitoring zones, each equipped with independent weight sensors. Each sensor monitors a specific shelf or section, segmenting the overall inventory monitoring task into manageable units. This segmentation enables precise tracking of item locations in different zones while keeping individual sensor systems simple and easy to install and maintain
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The OOS sensor system enhances inventory accuracy and reduces time spent on inventory management, preventing lost sales by providing real-time data on item locations and quantities, facilitating efficient restocking and loss prevention.
Implementation Method 1
The OOS sensor comprises a base layer having a planar cross-sectional profile and an array of weight measuring sensors (e.g., piezoresistive sensors)
Data Source
AI summary
Systems and methods for performing inventory management. The methods comprise: measuring, by an Out Of Stock (“OOS”) sensor at a first time, a first collective weight of a plurality of items disposed thereon; measuring, by the OOS sensor at a second later time, a second collective weight of a plurality of items disposed thereon; using the first and second collective weights to determine if an item has been added to or removed from the OOS sensor; and wirelessly communicating, from the OOS sensor to a remote computing device, a notification that an item has been added to or removed from the OOS sensor such that stored inventory information is updated accordingly. The OOS sensor comprises a base layer having a planar cross-sectional profile and an array of weight measuring sensors (e.g., piezoresistive sensors).