With Things Solver Recommender systems to an average sales increase of around 30 percent

You are working on your computer, taking a break, and arranging to meet a colleague for coffee. At that moment, an advertisement appears where George Clooney personally and infallibly recommends a type of coffee that you would most enjoy. Or you are heading home from work and someone from your household informs you to buy shampoo on the way. Then your favorite actress Penelope Cruz appears on your mobile screen, recommending that you take a specific brand because you certainly won’t regret it. In that purchase, everyone is satisfied – you because you chose the right product without wasting much time, and the seller because, with such a shopping experience, you will surely return for more.

This may all sound like science fiction now, but – the die has already been cast, thanks to the Recommender, a recommendation system from Things Solver based in Belgrade. By understanding individual consumer preferences, these software solutions, through hyper-personalization, help customers discover new products or content that they may not have found themselves, ultimately driving sales, user engagement, and brand or e-com platform loyalty.

Collects everything about the consumer

– If your potential customer has selected some items but left them in the cart and exited the page, you can remind them with a personalized message via Viber or SMS. If you have consumer information that includes browsing history, previous purchases, or favorite products, you can already create a personalized carousel offer on the site and enhance cross-selling or up-selling through other communication methods – explains Darko Marjanović, the director of this successful and young company that is part of the ASEE Group.

Things Solver’s recommendation systems are here to support you in all stages of the sales funnel – from cold-start, when you do not have enough data on consumer habits and preferences and when you use them in a starter-pack version, through simpler history-based systems based on recurring purchase patterns that you use to exploit the existing assortment that consumers are already buying, to the most advanced recommendation systems for cross-selling at different stages and for different customer segments, especially for early adopters, loyal and premium customers.

In the solutions produced by Things Solver, recommendation systems are integrated into the sales funnel at all stages, from the beginning, when you do not have enough data about the customer, to the end of the purchase process, and they are very successful in retaining existing customers. They can be applied across all communication channels, such as Viber, SMS, email, or mobile applications.

– In this way, consumers feel that brands think about them and choose for them, saving their time and enhancing satisfaction, while sellers improve the efficiency and effectiveness of their business – explains Marjanović.

AI creates magic

He also revealed what lies behind that magic.

– Artificial intelligence allows us to reshape technology and adapt it to each individual in a unique way. Hyper-personalization involves using artificial intelligence and real-time data to display relevant content, products, services, and information to each individual customer. It is the future of sales in the digital environment as it enables the creation of offers in line with the actual interests of customers. With modern recommendation software based on AI, data processing, and predictive analytics, it is possible to significantly enhance the relevance of the offer, which benefits both sellers and buyers and greatly impacts the user experience, thereby increasing sales on digital channels, which is experiencing unstoppable growth – explains Marjanović.

Based on the experience of Things Solver in collaboration with retail chains in Serbia, sales results with Recommenders can be up to 30 percent more successful!

It’s worth a try, isn’t it?