Shelf Tag Verification for Accurate In-Store Promotions
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Solution Overview
Problem
Current stock keeping methods fail to accurately track and maintain promotional states of slots in inventory structures within stores, leading to discrepancies in promotional tags, which can frustrate customers and reduce sales by not honoring expected prices.
Innovation Solution
A robotic system autonomously navigates through stores to capture images of inventory structures, detect shelf and promotional tags, and compare their features to verify alignment with scheduled promotions, generating prompts for store associates to correct or replace tags as necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking of promotional tags is used, then store operations are simple, but promotional information accuracy deteriorates leading to customer frustration and sales loss
Solution Approach 1:
The patent replaces manual mechanical tracking of promotional tags with an automated robotic system that uses computer vision and image processing to detect, read, and verify promotional information. The robotic system captures images of shelves and uses OCR technology to extract promotional tag data, eliminating manual labor while improving accuracy.
Solution Approach 2:
The system enables self-verification of promotional information by automatically comparing detected promotional tags against scheduled promotion data. The robotic system independently identifies discrepancies and generates alerts without requiring continuous human intervention, allowing the system to self-correct and maintain accuracy.
2Measurement precision
If frequent manual verification of promotional tags is performed, then promotional information accuracy improves, but labor time and operational efficiency worsen
Solution Approach 1:
The robotic system performs continuous verification of promotional tags by systematically navigating through store aisles and capturing images at regular intervals. This continuous automated monitoring replaces intermittent manual checks, ensuring promotional information accuracy is maintained without requiring repeated human labor over time.
Solution Approach 2:
The system performs preliminary detection and verification of promotional tags before discrepancies affect customer transactions. By proactively scanning and validating promotional information against scheduled data, the system prevents errors from reaching customers, eliminating the need for reactive manual verification after problems occur.
3Reliability
If automated robotic systems are deployed, then promotional information accuracy improves, but implementation cost and system complexity increase
Solution Approach 1:
The robotic system is designed to perform multiple functions beyond just promotional tag verification, including general inventory monitoring, shelf stock level detection, and product placement validation. This multi-functionality justifies the initial investment by providing comprehensive store management capabilities that improve overall operational reliability.
Solution Approach 2:
The system uses an intermediary computer vision layer that bridges physical promotional tags and digital verification systems. The robotic system captures images and uses OCR technology as an intermediary step to extract and validate promotional information, creating a reliable connection between physical store elements and digital tracking without requiring direct complex integration.
4Ease of operation
If comprehensive promotional tag monitoring is implemented, then customer satisfaction improves, but operational complexity and resource requirements worsen
Solution Approach 1:
The system extracts only the critical promotional information elements from shelf images using targeted OCR patterns and image processing. By focusing specifically on promotional tag text and characteristics rather than analyzing entire shelf contents, the system reduces computational complexity while maintaining comprehensive monitoring capability that improves customer experience.
Data Source
AI summary
One variation of a method for tracking promotional states of slots in inventory structures within a store includes: accessing an image of an inventory structure within a store; detecting a shelf tag on the inventory structure in the image; extracting a set of features from the shelf tag detected in the image; detecting a promotional tag on the inventory structure in the image; extracting a set of features from the promotional tag detected in the image; detecting a deviation between the shelf tag and the promotional tag based on a difference between the sets of features; and, in response to detecting the deviation between the shelf tag and the promotional tag, identifying the first promotional tag as erroneous, and notifying a store associate to replace the first promotional tag with a second promotional tag at the first slot, the second promotional tag correcting the difference.