Augmented Reality Planogram Generation for Retail Shelf Optimization
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Solution Overview
Problem
Retail store workers face difficulties in visualizing existing modular setups and determining product replacements to maximize sales, as existing methods lack real-time and effective tools for planning optimal product placement on shelves.
Innovation Solution
A system utilizing augmented and diminished reality, with an electronic device equipped with a camera and processor, generates virtual images of shelf layouts, allowing users to virtually remove products and suggest replacements based on sales data and customer traffic analysis, enabling real-time planogram generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional planogram methods are used, then the layout design process is simple, but the ability to visualize existing modular setups and determine optimal product replacements is poor
Solution Approach 1:
The patent creates a virtual copy of the physical retail environment using augmented reality. The system captures images of the actual store layout and products, then generates a digital twin that can be manipulated and visualized on mobile devices. This virtual copy allows workers to see proposed product replacements and layout changes without physically altering the store, solving the visualization difficulty while keeping the system accessible through common mobile devices rather than requiring complex specialized equipment.
Solution Approach 2:
The patent introduces an intermediary layer between the physical store environment and the planning process. By using augmented reality overlays on mobile device screens, the system mediates between the worker's physical view of the store and the virtual planning interface. This intermediary allows intuitive interaction with product placement decisions while maintaining simplicity - workers simply point their devices at shelves and receive guidance, avoiding the need for complex manual planning tools or extensive training.
2Productivity
If manual product replacement planning is used, then the process is straightforward, but sales optimization capability is limited
Solution Approach 1:
The patent implements feedback mechanisms that provide real-time guidance during the product replacement planning process. The augmented reality system analyzes the current product arrangement, compares it with optimal configurations based on sales data and customer behavior patterns, and immediately displays suggested replacements overlaid on the physical environment. This continuous feedback loop enables workers to make data-driven decisions quickly without manual calculation, significantly improving sales optimization capability while reducing planning time through automated analysis rather than manual review.
Solution Approach 2:
The system performs preliminary analysis of product performance, customer traffic patterns, and optimal placement configurations before the actual product replacement occurs. By pre-calculating the best product arrangements based on historical sales data and storing this information in the augmented reality system, the workers can immediately access and apply optimized plans when making replacement decisions. This preliminary action eliminates the need for time-consuming real-time calculations during the planning process, enabling rapid, data-driven product replacement decisions that maximize sales optimization.
3Reliability
If real-time planogram generation is implemented, then product placement optimization is improved, but the complexity of visualizing and implementing changes increases
Solution Approach 1:
The patent segments the complex planogram generation process into manageable components that are displayed separately and progressively. Instead of presenting a complete, complex redesign plan at once, the augmented reality system breaks down the optimization into individual product replacement suggestions, shelf-by-shelf or zone-by-zone. Each segmentation is presented as a simple overlay on the physical environment, showing only the necessary changes. This segmentation reduces visualization complexity by presenting information in digestible portions while maintaining reliable optimization through systematic analysis of each segment based on sales data and customer behavior patterns.
Data Source
AI summary
Methods and systems for generating a planogram for a retail facility include an electronic device having a display screen and a camera. After a product physically stocked on a shelf on the sales floor of the retail store and contemplated to be replaced on the shelf by a better performing product is identified, a diminished reality virtual image of the location on the shelf where the product is physically positioned (but with the product to be replaced being omitted) is generated on the display screen. A virtual list including suggested replacement products selectable to virtually replace the product is then generated on the display screen, enabling selection of a replacement product. Then, based on the selected replacement product, a planogram is generated for the retail facility, with the selected replacement product being virtually displayed at the location from which the product physically positioned on the shelf was virtually removed.