Next-Generation Space Reservation powered by Image Segmentation

Based on Patent Research | KR-20220010240-A (2022)

Space reservation management presents a challenge for general merchandise stores, especially when customizing spaces. Current methods often involve manual processes, leading to inflexibility and wasted time. Image segmentation, a computer vision task, automates the recognition and separation of spaces within uploaded drawings. This enables the creation of automated reservation tools. Stores benefit through streamlined reservation processes, improved space utilization, and enhanced customer satisfaction. This is similar to how retailers can now offer customized product displays based on customer preferences.

SOLUTION OVERVIEW

Manual Counting Meets AI Analysis

For general merchandise stores, image segmentation provides a direct solution to the challenges of space reservation management. The technology analyzes uploaded drawings, identifying and separating spaces. It processes visual data to create distinct segments for each area, enabling automated reservation tools. This simplifies the space allocation process, reducing manual effort and improving accuracy.

This technology allows for automation and integrates easily with existing inventory and customer management systems. Consider it like automatically recognizing sections in a blueprint to allocate space more efficiently. The practical benefits include optimized space reservations and increased flexibility in customizing store layouts for seasonal displays or special events. This leads to more efficient operations and improved customer experiences, demonstrating the technology's value in modern retail environments.

HOW IT WORKS

Images Tell Us Space Availability

Uploading Store Layouts

Uploading Store Drawings: The process begins when store managers upload digital drawings or blueprints of their store layouts. These drawings serve as the initial input for the AI system, providing a visual representation of the store's space and potential reservation areas. The system accepts various standard image formats, ensuring compatibility with existing store documentation processes.

Analyzing Drawing Structure

Analyzing Space Distribution: The AI then analyzes the uploaded drawing to identify distinct spaces within the store layout. Using image segmentation techniques, the system differentiates areas based on visual cues and spatial relationships, such as walls, aisles, and designated display zones. This step essentially breaks down the image into manageable segments for further processing.

Identifying Reservable Spaces

Identifying Reservable Spaces: Once the spaces are segmented, the system identifies those suitable for reservation. This may involve applying pre-defined criteria or custom rules based on the store's specific needs, such as minimum size requirements or proximity to certain products. The output is a set of identified spaces that can be allocated for different purposes, like promotional displays.

Generating Reservation Buttons

Generating Reservation Buttons: Finally, the system automatically generates interactive buttons or labels for each identified space on a digital interface. These buttons allow store managers to easily select and reserve specific areas within the drawing. This streamlined process simplifies space allocation, making it more efficient and user-friendly for store personnel.

Potential Benefits

Increased Operational Efficiency

Automated image segmentation streamlines space reservation, reducing the manual effort required to manage and allocate store areas. This automation frees up staff time for other tasks, increasing overall operational efficiency.

Improved Accuracy and Consistency

By accurately identifying and separating spaces in store layouts, the AI minimizes errors in space allocation. This leads to more consistent and reliable reservation processes, improving space utilization.

Enhanced Layout Customization

The AI system's ability to quickly adapt to changing store layouts enables greater flexibility in customizing spaces for seasonal displays or special events. This agility enhances the store's ability to meet evolving customer needs.

Reduced Resource Waste

By optimizing space allocation and reservation, the AI helps reduce wasted space and improve resource utilization. This leads to cost savings through more efficient use of existing store resources.

Implementation

1 Layout Image Upload. Upload store layout drawings to the system. Ensure images are clear and representative of the current store design.

2 AI Configuration. Configure the AI to recognize key spatial elements. Adjust settings for optimal space segmentation accuracy.

3 Define Space Rules. Define criteria for reservable spaces. Set minimum size and proximity requirements based on store needs.

4 System Integration. Integrate the system with existing reservation platforms. Enable seamless data exchange and space allocation.

5 Staff Training. Train staff on the new space reservation process. Ensure they understand how to use the automated buttons.

Source: Analysis based on Patent KR-20220010240-A "Automatic space customizing system for space reservation management" (Filed: January 2022).