Five Personalised Tips for a Better Customer Experience

We talk a lot about AI (Artificial Intelligence) and its more or less generic applications: conversational chatbot, data analysis, personalization… But what does Artificial Intelligence bring to e-commerce? How will AI revolutionize our relationship with product research? How can it help product sales online?

First of all, what is Artificial Intelligence? We would define it by the implementation of algorithms capable of understanding, analyzing, giving meaning, and acting in the face of an enormous amount of data that a human cannot manage.

Here are some personalized tips for a better customer experience:

Build loyalty better through customer relations and after-sales service:

When a customer is looking for a product, we must respond quickly and fairly, at the risk of seeing him buy from a competitor. This key issue of loyalty can be addressed by a chatbot accessible 24 hours a day. It’s the same for the after-sales service, being accessible at any time, including public holidays, can relieve certain situations. This also allows the telephone advisers to be relieved by qualifying the request upstream and responding more quickly to recurring questions.

The premium on the speed of processing requests provided by Artificial Intelligence is equal to the immediate responsiveness expected by a customer. And yes, the customer is KING!

Improve the conversion rate:

We all know the marketer’s claim: The right product with the right message, at the right time, and to the right person!

If we offer a personalized newsletter to each of our clients, it is more relevant, and as a result, we will get a better conversion rate. When the user browses an e-commerce site, you have to remove the purchasing brakes and this involves reassuring and guiding them. To remedy this, product recommendations boost the conversion rate. GroupBy Inc. offers an eCommerce suite to increase the conversion rate of your eCommerce website.

Automated and real-time price management:

Wondering whether some are doing better than others in terms of real-time price management. In your opinion, why? Because they know how to interpret different signals at an instant T and react quickly: competition, supply, and demand, a local supply close to the buyer, buyer’s profile, etc. Prysync has some great plans for a real-time price management service.

Predictive analysis & tomorrow’s trends:

Offering a product before the consumer has expressed the need for it, is the superpower sought by any Retailer! Groupby reviews are good and the company helps to spell and redirects for eCommerce sites.

Amazon was already anticipating in 2014 by filing a patent on the preparation of deliveries even before customers have validated their orders. Each e-commerce site has very qualified data, AI is the crystal ball that interprets it: purchase history, searches, wishlists, shopping cart, consultation of product sheets, etc. Another idea is that the seller can predict trends by catching weak signals.

The virtuous circle that we can remember:

Artificial Intelligence tends to recreate the best of the Offline experience Online, sometimes even better! AI applied to e-commerce would be more profitable while making the customer happier.

Artificial Intelligence, therefore, distills great promises in the short term. The possibilities are immense, it is a question of seizing them well so as not to be distinguished.

Thomas Salazar
the authorThomas Salazar