Improve your sales by personalizing of the content
Design a recommendation engine
We can design a recommendation engine to increase the sales with ML algorithms and collaborative or content-based filtering. Our experts applying machine learning models such as FAISS, NMSLIB for similarity search. Your customers shall be happier with relevant product offers, personalized web-page content and promo offers.
Build an opportunity or threat scoring
We can build an opportunity or threat scoring for customers and products, so your sales team can design and optimize business strategy accordingly their efforts priority. Our experts perform cutting edge resampling algorithms (SMOTE & Tomek links, ADASYN) to handle imbalanced data, when outcomes of interest are very rare. Also, we use modern unsupervised learning algorithms such as HDBSCAN for automated clustering and segmentation.
Create a model
Besides, we can create a model to make your communication with customers stellar. Trained to detect attitude markers and recognize your customers’ mood, the model will signal your sales team if a particular customer experiences negative emotions. Also using Gradient Boosting techniques we can extract the most influent features for these changes.
What we do
Optimize your business by monitoring your customers’ mood
Our data scientists use machine learning models, advanced algorithms and other tools for handling imbalanced data, attitude marker detection, and customer mood recognition.
Tools and solutions:
- Automated customer/product segmentation and scoring
- Recommender systems and personalization
- Behavioral pattern analysis and recognition
- Improve Engagement with impacts analysis
- Feedback and reviews sentiment scoring and text similarity detection
- Smart survey result processing