Electronic Planogram Distribution System for Real-Time Inventory Readiness
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Solution Overview
Problem
The retail industry faces challenges in implementing planograms due to delays and increased labor costs caused by the lag between planogram development and implementation, as well as cumbersome tasks related to sorting, copying, and maintaining records of printed planograms.
Innovation Solution
A retail system utilizing a communications network and central computing system to transmit and manage planograms electronically, allowing retail stores to receive and implement planograms in real-time, with each store's computing system determining readiness ratings and providing implementation recommendations based on inventory levels, and enabling the conversion of digital images from forward to reverse orientation for accurate display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If planograms are printed and delivered to stores prior to implementation, then stores can implement planograms, but delays and labor costs increase due to the lag between development and implementation
Solution Approach 1:
The patent replaces the mechanical delivery system (printing and physical transportation of planograms) with an electronic distribution system. Planograms are transmitted digitally through a network to store computing systems, eliminating the 2-3 week delivery lag and enabling immediate implementation. This substitution of electronic for mechanical processes directly resolves the time delay and productivity loss.
Solution Approach 2:
The system performs preliminary actions by pre-loading planogram data into the retail computing system's database before it is needed for implementation. When a planogram becomes effective, the data is already available locally, allowing immediate implementation without waiting for physical delivery. This preliminary electronic preparation eliminates the lag time inherent in traditional printed delivery methods.
2Reliability
If revised planograms are made after publication but before effective date, then planogram accuracy improves, but implementation delays and labor costs increase
Solution Approach 1:
The system implements a feedback mechanism where the central computing system continuously monitors and updates planogram data in the retail computing system's database. When revisions are made to planograms before the effective date, the updated data is automatically transmitted and stored, ensuring the most current accurate information is available for implementation without causing delays.
Solution Approach 2:
The planogram data in the retail computing system is made dynamic rather than static. The database can be updated in real-time with revised planogram information between publication and effective dates, allowing the system to adapt to changes without requiring re-printing or re-delivery, thus maintaining accuracy while avoiding implementation delays.
3Adaptability or versatility
If multiple planograms are implemented at different times, then planogram revisions can be accommodated, but added labor costs are incurred
Solution Approach 1:
The patent replaces manual mechanical processes (sorting, copying, filing, and maintaining physical records of multiple planogram versions) with automated electronic data management. The retail computing system stores multiple planogram versions in a database and automatically retrieves the appropriate version for implementation, eliminating the need for manual handling and reducing labor costs while maintaining flexibility.
Solution Approach 2:
The retail computing system performs multiple functions: it stores current and historical planogram data, determines readiness ratings, generates implementation recommendations, and manages multiple planogram versions. This multi-functional system consolidates what would otherwise require separate manual processes for each planogram version, reducing overall labor requirements while maintaining adaptability.
4Measurement precision
If readiness rating is determined based on threshold and in-stock quantities, then implementation readiness can be assessed, but system complexity increases
Solution Approach 1:
The patent replaces complex manual assessment processes with automated electronic calculations. The retail computing system automatically retrieves threshold quantities from planogram data and in-stock quantities from inventory data, then computes readiness ratings using programmed formulas. This electronic substitution simplifies the process while maintaining or improving measurement precision compared to manual methods.
Solution Approach 2:
The system performs self-service by automatically determining readiness ratings without requiring manual intervention. The retail computing system autonomously compares threshold and in-stock quantities, calculates readiness percentages, and generates implementation recommendations, reducing the complexity of manual assessment processes while maintaining accurate measurements.
Data Source
AI summary
A retail system for implementing planograms includes a communications network, a central computing system, and a plurality of retail computing systems. The central computing system is configured to receive and to transmit a plurality of planograms, each planogram being associated with one retail store of a plurality of retail stores and a plurality of products to be displayed for sale at the associated retail store. Each planogram includes data indicating threshold quantities of each product of the associated plurality of products. Each retail computing system is at a corresponding one of the plurality of retail stores and is configured to receive, via the communications network, planograms associated with the corresponding retail store and to receive inventory information indicating in-stock quantities of the plurality of products associated with each planogram. Each retail computing system is also configured to provide a readiness rating value for each planogram, the readiness rating value being based on a comparison of the threshold quantities and in-stock quantities of each product associated with the planogram and being indicative of whether the planogram is ready to be implemented.