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Image Tagging in The Retail Market

Image Tagging in The Retail Market

E-commerce has become an innovation of the past with the development of omni channel retailing. Aspiring to revolutionise customer experience with a brand with a seamless integration of services across website and mobile platforms that serve as extensions of the feel and aura given off by a physical store. In essence, it is merely an extension to the existing thought in the retail sector.

Image Recognition and Omni Channel Retail

With a world where consumers increasingly look to engage with a brand in more platforms than a brick and mortar store, retail stores incorporate the latest technology in order to be able to develop the required seamless experience. Image recognition is one of the software that have been increasingly adopted, along with visual search. This is used in the following areas:

  • The use of barcodes to scan and tag various products in the shop inventory
  • QR codes that allow consumers to go to the website and even purchase a certain product
  • Recognize products by clicking a picture using their cameras and getting redirected to similar products that have been tagged using image tagging software.

Revolutionising Product Discovery

Visual search is one of the upcoming options that allow a customer to merely click a picture of a particular product that they like. This photo is then run through a database that has been categorised with certain tags previously to pull up similar products from the inventory. These similar products may be identified based on several factors like pattern, colour and shape.

This technology has been adopted by various individual brands that allow for discovery of such similar products within their own inventories by tying up with third-party services providing the use of visual searching and image tagging. It has been seen that through the incorporation of this technology, the rate of impulsive buying has greatly increased. This can be attributed to the ability to allow consumers to shop based on their inspirations at any point of time.

It is also useful in allowing a brand to further blur lines between brick and mortar and the digital store as well as send the customer recommendations that may be based on the inventory and margin information of the brand. All items in the inventory are made to go through automatic image tagging in order to generate this database and allow for easy search and categorisation of all products.

The Future of Image Recognition

Image recognition technology has the potential to completely change the current consumer behaviour. It offers for the possibility of visual searching that can be combined with augmented reality in a way that allows the consumer to interact with the desired product before purchasing it. It helps social media marketing in a huge way and allows for more accurate customer recommendation also to be developed. Deep learning libraries get the capability to provide accurate predictions and further affect the organisation by allowing for more knowledgeable and informed decision on what is purchased and whats not a good investment.

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