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Shelf Recognition AI

In a sector of the retail sales of more competitive, effective and efficient management of the rays is essential to maximize sales and meet the expectations of consumers. The traditional methods of management of radiation, often time-consuming and prone to human error, show their limits in the face of the current requirements of responsiveness and precision.

It is in this context that the Shelf Recognition AI, or the recognition of the rays by artificial intelligence is emerging as an innovative solution.

This technology is revolutionizing the management of the rays and provides retailers with significant advantages.

What is the Shelf Recognition AI ?

Advanced technology that automates the recognition and identification of the products displayed in the shelves of the stores. Using sophisticated algorithms of computer vision and machine learning, it provides accurate and real-time on the state of rays.

Image Capture and pre-processing

The cameras installed in the stores captured continuously or at regular intervals of the images of the rays. These raw images are then pre-processed to improve their quality through adjustments of brightness, contrast, noise reduction, and correction of distortions. This pre-treatment is crucial to facilitate the subsequent analysis by the algorithms.

Algorithms for Computer Vision

The algorithms of computer vision, in particular neural networks, convolutional (CNN), analyze these images to detect and recognize the product. Trained on large data sets, these algorithms can identify different products and brands with a high degree of accuracy.

 

 

Classification and Identification of Products

Once the products have been detected, they are classified and identified. This step allows you to determine not only which product is present, but also details such as the brand, the variation and quantity. These are essential for the inventory management and the optimization of the rays.

 

Advantages of Shelf Recognition AI

Recognition and Identification in Real Time

Thanks to artificial intelligence algorithms developed, the Shelf Recognition AI allows recognition and identification of products in real time. Retailers have instant information on the availability of products and can react quickly to changes in the layout of the shelves.

Precise information on the Availability of the Product

By providing current and accurate information on the availability of products, this technology allows retailers to better understand consumer needs and to adapt their offer accordingly. A more precise management of inventory helps to minimize stock-outs and increase customer satisfaction.

Optimization of the Organization of the Rays

The Shelf Recognition’VE used to help define an ideal organization of the rays by creating models based on best practices of merchandising and market trends. These models are used as reference to organize the products optimally, maximizing the attractiveness and sales.

Comparison with a Planogram, and Recommendations

By comparing the organization of the products with a planogram is validated, the Shelf Recognition AI identifies gaps and recommends adjustments. Retailers can thus ensuring full compliance with the planogram, ensuring an optimal presentation of the products.

Shelf Recognition AI represents a major advance in the management of the rays in the store. By automating the recognition and identification of the products, it offers accurate information and real-time, optimizes the arrangement of the rays and improves inventory management.

This technology allows retailers to better meet the expectations of consumers, to maximize their sales and stay competitive in the market. Adopt the Shelf Recognition AI, it is to give the means to transform the challenges of the merchandising opportunities for growth and success.

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