Centralized Store Layout Application for Planogram Search
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Solution Overview
Problem
Existing store layout and planning software require local installation and lack centralized management, making it difficult for retailers to efficiently manage and optimize floor plans across multiple locations, leading to time-consuming data transfer processes and inefficient inventory control.
Innovation Solution
A centralized store layout application that allows managers to assign and search for planograms within a floor plan using a client device connected to a communication network, enabling efficient data management and inventory control by querying databases for product or planogram locations and displaying results visually.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If local installation of store layout software is used, then each store can independently manage its floor plans, but centralized management and data aggregation across multiple stores become difficult
Solution Approach 1:
A centralized server acts as an intermediary between multiple store locations and the floor space optimization program. The server receives floor plan data from various stores, processes it centrally, and generates optimized layouts that can be distributed back to individual stores. This mediator approach enables centralized management while maintaining independent store operations.
Solution Approach 2:
The centralized server is designed to handle multiple functions: storing floor plan data from different stores, processing optimization algorithms, generating updated layouts, and distributing results to various store locations. This multi-functional system resolves the contradiction by providing both centralized control and independent store capability through a single universal platform.
2Adaptability or versatility
If local solutions are used for store layout management, then each store operates independently, but data aggregation and analysis across multiple stores become inefficient
Solution Approach 1:
The centralized server serves as a mediator that collects data from multiple independent stores, aggregates it for comprehensive analysis, and generates optimized solutions that can be applied across the retail network. This enables efficient data aggregation while preserving store-specific adaptability through selective implementation of optimization results.
3Ease of operation
If planogram changes are downloaded and uploaded through local systems, then store managers can modify assignments, but the process becomes time-consuming due to data transfer requirements
Solution Approach 1:
The system extracts the time-consuming data transfer step from the planogram modification process. Store managers can modify planogram assignments locally, and changes are automatically synchronized with the centralized server through efficient data exchange protocols, eliminating the need for manual download and upload cycles.
Solution Approach 2:
The system enables continuous planogram management by establishing ongoing synchronization between local store systems and the centralized server. Rather than discrete download-upload cycles, the system maintains continuous data exchange, allowing managers to modify assignments at any time without interruptive data transfer processes.
4Productivity
If centralized floor planning software is implemented, then data aggregation across stores improves, but compatibility with different operating platforms becomes more challenging
Solution Approach 1:
The centralized server is designed as a universal platform that can interface with multiple operating systems and data formats. It implements standardized communication protocols and data exchange formats that enable it to aggregate data from stores using different platforms while maintaining centralized control and processing capabilities.
Data Source
AI summary
A method for searching assigned planograms corresponding to a floor plan includes receiving an indication of a type of search to conduct and a search parameter. The computer-implemented method further includes searching determining if the search is for a planogram or for a product contained within a planogram. When the search is for a planogram, the property of the planogram corresponding to the search type is compared to the search parameter. When the search is for a product, the property of each product contained within each planogram corresponding to the search type is compared to the search parameter. A list of all planograms matching the search parameter or containing a product that matches the search parameter is generated. The list is interpreted by a display device running a store layout application to depict the matching planograms in a first color and non-matching planograms in a second color.