recommendo enables sales increase!
recommendo, commendo's recommendation engine, has its aim in optimizing the product recommendation of your online shop on the basis of individual shopping attitude and user properties.
Increasing revenue
The optimization of the individual product recommendations is conducted in real-time and constantly, to achieve a total sales increase.
- sales increase up to 20%
- raise of total sales
Customer loyalty
recommendo considers the individual shopping attitudes of each customer. These are the basis of personalized recommendations. As a result the individual benefit of each user raises.
- increasing customer satisfaction
- stronger customer loyalty
- longer interaction periods on the online shop
Improving sales
recommendo provides personalized recommendations of the complete product range, as well as applicable statistical similarities (scores?) between products. Thus, similar products and recommendations, which meet the customer's taste, get visualized in the online shop.
- improving product promotion
- custom-fit recommendations lead to impulse buying
- sales increasement leads to increased revenue
Integration and autonomy
To know the individual customer's taste is the basis of a company's success. recommendo was developed for the special demands of an online shop. As it is an independent closed system, it can easily be integrated in distribution portals.
recommendo a stand alone software, gets integrated as auxiliary module in the structure of your online shop.
- no privacy issues
- no outer data circulation
Leading technology
A hybrid personalized recommendation engine enables a bridge over of the so called coldstart problem by switching intelligently between collaborative filtering algorithms and content based filtering techniques.
- collaborative filtering
- content based filtering
recommendo compared to conventional cross selling
Feature
|
recommendo
|
CS
|
| real time learning |
YES |
no |
| increased revenue via cross selling |
YES |
YES |
| increased revenue via up selling |
YES |
no |
| satisfying recommendations from large shopping carts |
YES |
YES |
satisfying recommendations from small shopping carts
(from first purchase on) |
YES |
no |
satisfying recommendations of rarely sold products
(niche products) |
YES |
no |
| satisfying recommendations of recent products |
YES |
no |
| avoidance of top seller presentation only |
YES |
no |
| highest accuracy of recommendations due to leading technology |
YES |
no |
| user-item precitions & item-item correlations |
YES |
no |
| no drawback of shop performance due to optimized speed |
YES |
no |
| compatible recommendations |
YES |
no |
| newsletter: personalized marketing tool available |
YES |
no |
Try recommendo in its newest version!
recommendo - Version 2.1.3-1
Currently recommendo - release 2.1 is available.
For more details and the license model please contact us via the
contact form.
