Customers can use computer vision-based mobile apps to scan products and learn more, company history, price comparisons, ratings and reviews, usage guides.
Tag user submitted product with higher quality metadata. Greatly increases findability of listings. Improves customer experience and usability. Drives sales for platforms and sellers.
Horavision detects poor quality images such as blurriness detection in contributed content. This can increase sales through higher quality content that increases conversion rates.
MORE COMPUTER VISION USES FOR RETAIL AI
Humans are visual creatures, and advances in computer vision promise to change the face of many different industries, including retail. The possible use cases of computer vision in retail AI include:
Identification: Computer vision can help build facial recognition systems for identifying employees. Retail businesses can use facial recognition to allow their employees access to restricted areas, such as the stockroom, breakroom, and offices. Facial authentication can allow customers to make purchases with touchless payments.
Crowd analysis: Computer vision can accurately count retail customers and analyze customer behavior in aggregate. For example, retailers track the customer journeys throughout the store, track interactions with products, and ensure that the store is following health and safety protocols (such as maximum occupancy).
Stocking and planograms: Computer vision systems can examine retail shelves to determine efficient placement of items and see if items are out of stock or out of place. For example, Walmart is researching the use of “shelf-scanning robots” to navigate through a store’s aisles, checking prices and looking for irregularities. This would save human employees a great deal of time and effort, letting them focus on activities such as assisting customers.
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A complete Computer Vision development platform for accelerating AI projects into production. alwaysAI focuses on faster prototypes, greater ROI, and easy deployment for enterprises.
