Recommendation Systems
Make personal product recommendations and provide a greater user experience.
Implement a product recommendation strategy to increase sales conversions via a personalized recommender system.
Reach more customers
Recommendation systems can be used in a wide variety of activities, from initial marketing to final conversions, making it easier for users to find products or services that fit their current needs.
Increase user engagement
An AI recommendation system improves engagement throughout the customer journey through carefully aligned recommendations and prompts. Personalize all digital channels providing a consistent customer experience.
Increase purchases & subscriptions
Improve conversions by perfectly matching your offer to each individual user.
Effective cross-selling and up-selling
Recommendation systems can add complementary products or more expensive alternatives to increase shopping cart size & value.
Effective promotion of best sellers and new products
Thanks to recommendation systems, you are able to propose the best-selling products, check customer reactions to new products and update recommendations in order to adapt to changing preferences.
Improve the effectiveness of marketing communications
Respond to customer needs in real time, optimizing and tailoring marketing communication to your current needs.
AI recommendation systems create demand before customers know they want it.
Today, an individual and personalized approach to each customer today is a basic expectation. Users are much more likely to interact with brands that fit their current needs, and personalization is the perfect tool to build the best experience possible.
An AI recommendation system enables you to reach customers more effectively, better serve a product or service tailored to their current needs, and even adjust the order in which products are displayed to the user. Thanks to the use of dynamic product lists, all contact points in the customer's path can be personalized. Working in harmony, product, service and content-based recommendation tools respond directly to buyer needs in real, leading to a completely unique shopping experience.
Explore other solutions
/ Data Analytics & Machine Learnign
-
Business Intelligence
Our business intelligence solutions will allow you to quickly make effective decisions based on reliable data analysis. Use ready-made reports and charts to maximize the company's profit.
-
Predictive analysis
Predictive analysis, based on historical data, will enable you to detect repetitive patterns, thanks to which you will better understand customer behaviour and effectively predict future events. Automate the decision-making process at the operational level and increase the efficiency of activities.
-
Dynamic pricing & analysis
Adjust the level of prices and discounts for products to individual customer segments. This will improve your competitiveness and optimize the level of sales and margins.
-
Sales & demand forecasts
Make predictions that mirror actual demand, thus avoiding shortages in the warehouse and fully satisfying market needs.
-
Intelligent OCR
We can create a tool that automatically recognizes and digitizes documents, based on photos – intelligent OCR tools based on neural networks.
-
Customer Intelligence
Thanks to a better understanding of customers at every stage of their purchasing path, you will better adapt your offer to their needs and take more effective marketing and sales activities. Reach sales and margins growth based on customer behaviour analysis.
-
Upsaily
Meet our unique tool for analyzing complex trading data. Thanks to Upsaily, you will gain knowledge about your customers’ purchasing behaviour, get ready-made recommendations for effective marketing and sales activities, make quick and accurate business decisions, and increase your sales and margin.
Goals Achieved
/ with Recommendation Systems
Personalized Recommendations on a Global Scale
Personalized recommendations based on advanced algorithms and data analysis are revolutionizing global business development.
The Technologies
/ Behind Solution
Our Experts
/ Knowledge Shared
Shopware vs. Magento – Which E-commerce Platform is Right for Mid-Sized and Large Projects?
Choosing the right e-commerce technology is one of the most strategic decisions when planning and scaling an online store. The right platform can not only drive sales but also accelerate time-to-market, reduce operational costs, and streamline business growth. In this article, we compare two popular yet fundamentally different platforms: Magento (Open...
What will the furniture industry be like in 2025?
Stable Growth of E-Commerce in the Furniture Industry The year 2024 was not the easiest for the furniture industry, with media reports highlighting the challenges faced by many companies in this sector. However, in terms of e-commerce, the past year can be considered successful. In November, sales in the “furniture, RTV, and home appliances”...
New Legislation / E‑commerce 2025
The year 2025 will bring significant changes to e-commerce regulations, which could greatly influence how online stores operate across the European Union. These updates aim to protect consumer rights, promote transparency, and support sustainable development. However, they also call for businesses to invest and plan for modernization. Let’s take a closer...
Our Solutions
Your Success
Recommendation systems improve the entire funnel, from acquisition to engagement and conversion. Get in touch and we’ll show you how!
