AI-driven technology uses recommender logic and a matching engine to give personalized recommendations based on user needs and preferences. Our Guided Selling technology provides advanced personalization for online shopping experiences.
This also ensures that customers are only shown relevant products which in turn increases their willingness to buy, resulting in an increased conversion rate.
Product Guides use intelligent reasoning to provide evidence and rationale for the products chosen to be displayed as a recommendation. E.g. Our bike advisor displays all the bike specifications which match the answers to questions such as height, gender, usage of bike, type of biker, etc. This not only builds a customer's trust but also drastically reduces the chances of them returning a product.
Machine learning unlocks the full potential of usage and purchase data, creates new sales knowledge and reacts to buying trends in real time. Due to this, it constantly enhances the recommendations provided to customers.
To improve Ecommerce strategies, it is crucial to regularly identify action points and better them. Consumer data allows you to define your ideal buyers, establish a fluid sales funnel, react timely to trends and insights, etc.
The excentos Product Guide can be integrated across devices and touchpoints, notably desktop, mobile and in-store. It can be rolled out and introduced to new markets where it automatically adapts to local data feeds and can be customized to fit the target market better.
We saw significantly higher growth rates for all products integrated in the advisor compared to the overall product range. The excentos staff were always there to support us for any questions and helped us to get the most out of the platform.
Customers who use the excentos Gift Finder are 3 times more likely to make a buying decision than those who do not.
Digital consulting with excentos is now an essential part of our marketing, and we are very satisfied with the results.