Augmented Planogram Visualization for Customer-Specific Product Audits
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Solution Overview
Problem
Traditional planograms fail to efficiently identify products with specific attributes, such as ingredients or expiration dates, and do not account for different customer segments, leading to inefficient product placement and delayed execution.
Innovation Solution
Augmented visualizations are used to modify planogram images with graphics, colors, and text to highlight product attributes and customer segments, enabling faster and more accurate planogram audits and customer-centric browsing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional planograms are used to display products, then product placement and shelf layout can be optimized for sales performance, but the ability to quickly identify products with specific attributes (ingredients, expiration dates, allergies) is poor
Solution Approach 1:
The patent applies color coding to product packages to indicate specific attributes such as expiration dates, allergies, and product types. Different colors are assigned to different product characteristics, allowing employees to quickly identify products needing attention without reading individual labels. This visual coding system directly improves measurement precision for product attribute identification while reducing search time.
Solution Approach 2:
The patent segments product information into visual categories using colored bands or tags on packages. Instead of requiring employees to examine each product individually, the segmentation system groups products by attribute (e.g., all expired or soon-to-expire items in one color zone), enabling rapid identification and reducing time loss.
2Adaptability or versatility
If traditional planograms are used, then shelf layouts can be arranged to increase sale performance, but they do not account for different customer segments with specific needs (food allergies, dietary restrictions)
Solution Approach 1:
The patent uses color-coded packaging to communicate product attributes relevant to different customer segments. Customers with food allergies or dietary restrictions can quickly identify suitable products through color coding, eliminating the need to read detailed ingredient lists. This provides adaptability for different customer needs while preserving critical product information visibility.
Solution Approach 2:
The color-coded system acts as an intermediary between product information and customer needs. Instead of requiring customers to directly read and process detailed product labels, the color coding serves as a visual mediator that translates complex product attributes into easily understandable visual signals, enabling customers to quickly identify products matching their dietary requirements.
3Reliability
If employees manually check each product for expiration dates, then accurate inventory monitoring can be achieved, but the process is time-consuming and inefficient
Solution Approach 1:
The patent implements color-coded expiration dating where products are marked with color bands indicating their expiration status. Employees can instantly identify expired or soon-to-expire products through color recognition rather than manually checking each label, maintaining reliable inventory monitoring while dramatically improving productivity and execution efficiency.
Solution Approach 2:
The patent replaces the mechanical process of manually reading and checking each product label with a visual recognition system using color codes. This substitution eliminates time-consuming manual inspection while maintaining accurate inventory monitoring, as employees can quickly scan colors to identify products needing attention.
Data Source
AI summary
A system and method are disclosed for augmented visualization of a planogram of one or more supply chain entities. Embodiments include creating a planogram comprising one or more products, the products associated with a location, and retrieving an image of the planogram and one or more customer segments. Embodiments further include mapping one or more coordinates in an image of a planogram that correspond to the one or more customer segments and rendering an augmented visualization comprising altering the image of a planogram at one or more coordinates to illustrate the one or more customer segments.