Customers often visit a retail store with a variety of behaviours. Some are just looking around, some intend to survey prices first, but some are really going to shop.

Among the various customer behaviours, there are those who touch on display items, some are messing around, and some are turning one item over and over again.

Seeing such behaviour, usually a large number of shop assistants will approach every consumer who they think has the opportunity to purchase the goods they see.

However, nowadays that method is outdated. The retailer chooses to cut the number of shop attendants as little as possible to save expenses. Then, are customers not served?

Cutting the number of shop assistants does not mean retailers reduce the quality of service to their customers, but instead replace them with advanced artificial intelligence (AI) based technology.

AI technology has the ability to capture the behaviour of retail customers who may be interested in certain items through closed-circuit television (CCTV) cameras installed at various points of the store.

The AI-tech camera then informed the shop assistant that there was a customer in one aisle between the gondolas who appeared to be interested in a certain display item.

The shop assistant then approached the customer to explain the product of interest. Just like a shop assistant who calls another shop assistant to explain a certain product to a customer. However, it is not people who tell people anymore, but cameras with AI technology based on customer behaviour sensors.

Thus, retailers can make savings in terms of labour costs without having to reduce their sales targets. The result is that retailers get even bigger profits.

The conversion system for retail customer behaviour monitoring AI technology has begun to be developed, including by Indyme, a global leader in customer engagement, active loss prevention and process automation based in San Diego, California.

Using its AI-based AutoAssist technology, Indyme helps retailers provide a system capable of converting customer behaviour into revenue and profit. Such a system is likely to be a solution for retailers in reducing the bigger cost burden going forward.


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