This whitepaper talks about the outbreak of Artificial Intelligence and its penetration in different sectors of retail industry. Recalling through the four phases of a retail sales process, this paper describes how different technological advancements in different stages of the sales process is united by AI to provide a better customer experience.

The Thought phase: A prospecting customer thinking about buying a product or service based on his requirements.

The search phase: A prospecting customer searching for different vendors who are providing the service or product that he wants to have

The engagement phase: A prospecting customer engage with the seller to know more about the service/product they offer

The handshake phase: Customer buys the product from the seller.

Using Targeted ads, personalisations and AI persuasion, Artificially intelligent systems can even understand a customer’s requirements even before the customer actually realizes it. For example, using a machine learning algorithm, say, using a random forest classifier, we can interpret the data we already have to find the buying power of a prospecting customer. Or even using deep learning libraries such as TensorFlow, it is possible to predict when a customer would buy again a particular product or an alternative at a particular time.

At one place, there are some serious researches going on to interpret the mood of a website visitor by tracking the movements of his mouse pointer. In another place, we are building technology to track an instore customer’s emotions. Tracking purchase data and comparing with specific purchase pattern of customers would necessitate generation of useful insights on how to sell more products to a customer. This is exactly what Salestron does to help the sellers to sell more. It can even recommend a salesperson when to engage a particular customer with what value proposition.

On other hands, Emotix is a product even capable of tracking a customer’s emotion as they looks at a product. To understand which of the products made the more positive response in a customer’s face is a good information that can be used by a salesperson to push sales. Basically, Emotix captures the facial expressions and features of a customer to understand the morphology to suggest products as well as to determine the happiness level of the customer on checking out a product