AI Recommender | Case Study Without AI, you are not utilizing the e-shop's potential to the fullest.
AI Recommender (artificial intelligence) automates a large number of calculations that directly increase the performance of your e-shop.
Examples include efficient up-sell or cross-sell of products and services, personalized arrangement of categories or products, or even the content of the page to make it more interesting for a specific user. The result is higher turnover, revenues, lower CPA, and a number of other metrics, thanks to which online business grows upwards.
Looking for proof instead of promises? These are the latest figures that speak for themselves.
AI Recommender Results
3, 19%
share of the turnover of the e-shop
with consumer goods
35, 4%
conversion rate of the recommended product
Dedoles
11, 24%
share of the client's turnover
Zdravie z kopaníc
What are its advantages?
In addition to great results for the first and second quarter of 2024 among clients who use AI Recommender in their e-shop, artificial intelligence in the form of a recommendation tool can significantly contribute to other very important factors that are key to a thriving e-commerce business.
Product recommendations:
- Reduces administration costs by eliminating the need for manual product pairing or complex programming.
- Increases the time spent on the site, thereby contributing to better search engine optimization (SEO).
- Improves CX – customer experience by offering products/content that the customer is most likely interested in.
Main areas of cooperation
- product page
- cart
- pop-up window
- E-commerce tips and improvements
- Optimization of UX
- SEO
Increase in performance and reduction of costs
1, 50 %
PNO at the client
Prodoshop
17, 18%
CTR of the recommended product
at Pexo client
24, 12%
CTR of the recommended product
at the client Perfetto
Main areas of cooperation
Who is AI Recommender suitable for?
For e-shops and websites of any size. The larger the e-shop with a multitude of products and data, the better results artificial intelligence can achieve. However, AI product recommendations can also be tried on small e-shops with significantly fewer products, if you are looking for an affordable and effective tool for related products and services, which operates fully automatically.
- E-commerce tips and improvements
- Optimization of UX
- SEO
How does an AI recommendation system work?
In order for the AI Recommender to evaluate the potentially most interesting content or related product, such as for cross-selling, it needs to "learn" from data. The higher the quality of the data, the more relevant the result and the more attractive the offer for the user. The recommendation system can select related products or services without the need for human intervention or time-consuming programming. This reduces administrative costs, error rates, and increases the productivity of the e-shop.
AI Recommender |
summary statistics
- The average cost share of turnover is 6.2%
- The average CTR in product detail is 11.73%
- The average CTR in the basket is 6.35%
- The average CTR in a pop-up window is 7.34%
- AI Recommender is currently used by dozens of clients
ui42 has been helping e-commerce projects grow for more than 27 years. We currently have more than 210 web solutions under our belt, we have contributed to more than 400 websites
and in our UX lab, we have surpassed the milestone of 1100 usability tests.
All this with a clear goal – to bring our clients a strong competitive advantage and higher profitability. That's why since 2020 we have been intensively focusing on artificial intelligence
and we have several digital products that are not just for the big players.
Our chatbot and AI Recommender are also available for medium-sized and smaller e-shops that see clear potential in the era of artificial intelligence.
Would you like to join them? Take the opportunity to test the recommendation tool for a month for free.
How does AI Recommender Pexo rate?
With the growth of the e-shop come new tasks that need to be fulfilled, and therefore optimization and automation of processes are necessary. We are glad that ui42 came up with a solution for automated product recommendations, which replaced our manual recommendations or recommendations based on common features. We did not expect it to reflect in such great numbers. We are very satisfied.
Contact us
Do you also want to achieve such results?
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Samuel Štassel
Sales Executive
-
Boris Henezi
Sales Executive
