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Retail automation with AI

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Retail is one of the leaders in the implementation of innovations. This industry are constantly trying new features at work. Virtual or Augmented reality is being used or planned to be used by 48% of US consumers to evaluate new products and services, Nielsen says. 


Examples from the past

For example, barcodes were invented for trade. The technology made it possible to apply marks on goods and save time by having a scanning them. There is nothing significant or new behind these words, an ordinary thing for us.  


Now try to imagine a distribution center the size of 11 football fields, with 15 trucks unloading and 36 trucks loading on site simultaneously. The distribution center runs continuously and does not close on holidays and during pandemic. Millions of different things flow from one point of warehouse to another. Was it possible to process such volumes if each box required a separate physical check by an employee due to the lack of a barcode?  


And this is just one example of the technologies used, but because of the scale of use, barcode labeling is becoming an element of the company's growth. 


The current state of affairs

In 2019, technology is bringing more sophisticated things to life than specialized labeling that is driving the retail industry forward. Machine Learning is actively applied. These innovations push strong company growth by reducing costs.  


Another example from nowadays. Product placement is part of promoting a brand to the masses. Recognition and sales growth is a direct consequence of merchandising. How to check the quality of the product placed in store remotely? But what if you need to do a thousand checks a day in various locations? The neural network can handle that many. And even a hint gives out about the incorrect location.  
These tendencies do not bypass our region either.  


Computer Vision and Identity Verification in Kazakhstan

Local retailers trying to use facial recognition to identify loyal members as they walk into the store. With this technology retailers try to personalize shopping experience: score their purchases and find out preferences. All this data helps to bring personalized product recommendations specific to each customer.


Main goal is to convert occasional visitor into regular customer. 

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