Apptus provides eCommerce retailers with business objective-driven online search and merchandising. Our solutions leverage machine learning techniques and onsite behavioral data across on-site search, categories, list ranking, and product recommendations to deliver a truly relevant and personalized experience proven to increase revenue and profit.
The company was founded in 2000 and has headquarters in Lund, Sweden, and locations in London and Munich.
The power of machine learning is to analyze customer preferences and automatically learn from this to deliver optimal recommendations. The goal is to optimize screen real estate to best meet set objectives — improving conversion rate or profit contribution, and sometimes to increase sales or margin.
By telling the system to drive towards a certain business goal, it automatically exposes products that contribute most to the goal. Conversion exposes often-sold products, revenue high-priced products, and profit high-margin products.
In a unified solution, all sales areas of the site exchange behavioral data to optimize product relevance everywhere in the webshop. Machine learning and big data analytics are used to understand every customer interaction in real-time and to adjust product exposure to deliver individually relevant shopping experiences.
Using machine learning techniques means that much of the manual workload is automated. This gives the merchandising team more time for value-adding activities such as campaigns and enriching product and information presentations, leading to further improvement of the customer experience, and increased sales.
- Goal-based optimization
- Automated, predictive merchandising
- Simple integration
- Platform independent