Mobile Image-Based Low-Stock Detection and Promotion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current stock management systems in retail stores are inefficient in tracking low-stock conditions, particularly when products are not on shelves, and do not account for damaged, lost, or stolen items, leading to inaccurate inventory levels and potential customer dissatisfaction.
Innovation Solution
A store low-stock item reporting and promotion system that uses a mobile device with a camera and wireless transceiver for shoppers to capture images of items, which a server identifies and determines low-stock conditions, generating notifications and digital promotions based on the images received, and adjusts promotion values based on the number of images acquired.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual inspection is used to determine stock levels, then the system is simple to operate, but the accuracy of stock level detection is low and time-consuming
Solution Approach 1:
The patent replaces manual visual inspection with an automated image recognition system using cameras and machine learning algorithms to detect stock levels, thereby eliminating human labor while improving accuracy and reducing time consumption
Solution Approach 2:
The system enables self-monitoring of stock levels through automated image capture and analysis, where the inventory system independently tracks and reports low-stock conditions without requiring manual intervention
2Reliability
If fixed video monitoring systems are used for stock analytics, then continuous monitoring is achieved, but the system complexity increases and cost rises
Solution Approach 1:
The patent makes existing security cameras multi-functional by enabling them to perform both security monitoring and inventory tracking, thereby achieving continuous stock monitoring without adding dedicated hardware systems
Solution Approach 2:
The system combines security monitoring and inventory management functions into a single integrated platform, where one system performs multiple tasks, reducing overall complexity and resource requirements
3Measurement precision
If current stock tracking methods are used, then basic inventory levels are monitored, but damaged, lost, or stolen items are not accounted for leading to inaccurate inventory
Solution Approach 1:
The system continuously captures images and compares current stock levels with expected levels, providing feedback that identifies discrepancies caused by damage, loss, or theft, and triggers appropriate notifications or investigations
Data Source
AI summary
A store low-stock item reporting and promotion system may include a remote device to be carried by a shopper when shopping within a store and may be configured to acquire an image associated with an item. The system may include a server configured to obtain the image from the remote device, identify the item based upon the image, and determine a low-stock condition for the item based upon the image. Upon determining the low-stock condition, the server may generate a low-stock notification and communicate the low-stock notification to another device, and generate a digital promotion and communicate the digital promotion to the remote device.