How to integrate AI software into your online shop
In order to be able to communicate personally with every online shopper, you must first build up a knowledge base for your online shop and send the algorithms involved to the classroom. You first fill this knowledge base with your wealth of experience and your product catalogue. The following principle applies: the more structured information, the better.
Then the learning process about the behaviour of your online shop’s visitors and customers begins. For this, your online shop is simply docked to the knowledge base with a one-line code snippet. Subsequently, all information on the click and purchase behaviour of each individual online shopper flows into the knowledge base, is processed by the algorithms and flows back into your online shop.
Using modern AI processes such as reinforcement learning, the algorithms finally optimise themselves in a closed-loop process and communicate with your customers in an increasingly personalised way. With the help of this technology, you can make AI tangible for your online shop.
Example: A customer visits an online shop and navigates to the category page “Blouses”, where she uses the facet navigation to narrow down the selection to pink and plain-coloured blouses. As she particularly likes a pink blouse, she clicks on it. Through the customer’s behaviour (filter limitation, clicks, etc.) in the online shop, the algorithms learn that the customer is potentially interested in pink blouses. This knowledge can be used, for example, when making recommendations. If the customer arrives at a product detail page, for example, pink blouses can be displayed there as recommendations according to her personal preferences.
In a next step, the algorithms could learn the customer’s size through further actions such as clicks/selection. In this way, the intelligent algorithms can continue to develop in a self-learning manner, making communication increasingly personalised.