Retail and E‑Commerce

Data Annotation In Retail

Retailers are finding novel new uses for AI in order to provide their customers with a customized, unforgettable in-store experience. This has become a business-critical mission, as companies need to find creative ways to build relationships with customers and stand out from their competitors. Let’s look at some of the ways in which retailers are using AI to increase business activity:

• Trying on new clothes

  The old dressing room has become a thing of the past. Now, customers are able to use smart mirrors in store which show them how the cloth will look on them, thus saving a lot of time. The same goes for makeup. Customers can try on ready-made looks or individual products virtually and in the comfort or their own home thus saving them a trip to the store.

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• Personal recommendations

  Have you ever wondered how Netflix, Amazon and other companies always know what you would like to watch and the products you want to buy? The answer is that they use machine learning algorithms that are trained to recognize your specific tastes and preferences.

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• Shelved products detection

  Retailers are now using AI to eliminate repetitive tasks such as checking which items are on the shelves, which allows the employees to be more productive.

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• Drone and robots delivery

  Thanks to new developments in AI, users can get the products they ordered faster because they will be delivered by AI-powered robots who can sort through packages and deliver them faster than humans.

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• Crime prevention/ weapon detection

  Law enforcement officials are starting to rely more on AI powered cameras to detect suspicious activity, identify suspects and detect weapons in stores.

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• In-shop and parking monitoring and face recognition

  Store parking lots are usually open and accessible to anybody, which could make it risky to park your car for an extended period of time. However, facial recognition cameras can put your fears to rest, since they will be able to identify you as the true owner of the car and alert authorities about possible break ins.

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• Threat detection

  The data that is collected by stores from user behaviour can do much more than simply help them sell products. In fact, it could help them keep their store customers safe by identifying potential threats and even preventing them from happening.

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• Intelligent motion detection

  Some of the motions that customers make can provide hints on the customers’ interest level in buying a certain product.

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• Unauthorized access

  There is no need to have a security guard stand outside a door and make sure only authorized individuals access a certain location. An AI-powered facial recognition camera can do this much more efficiently.

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