 |
Ranking and distributing client requestsEvaluation of client requests on ecommerce platforms, and their distribution by marginality and probability of transaction. Quality requests (“hot leads”) are sent to the sales department to be processed first. According to our data, in some retail projects conversion rates double if a prospect is followed up within 15 minutes of the request.
|
 |
Prediction of expensive incidentsA data-based graph of anticipated expensive incidents is created (for example, a client defaulting on a loan, the occurrence of an insured event, or other events that affect your business). Managers get alerted about the increased risk of an expensive incident in advance, allowing them to make data-driven decisions, while vulnerability to undesirable events decreases.
|
 |
Anomaly detection and predictionAnomalies can be detected in any data. For example, integration with a medical video scanner makes it possible to rapidly find several informative frames and reduce the probability of medical error, as well as speeding up the work. In logistics and shipping, anomaly prediction prevents collisions and flooding of ships, and increases the safety of transportation.
|
 |
Recommendation systemsUsers get recommendations for purchases based on decisions made by them and by similar groups of customers. Everyone gets access to the most suitable products, regardless of whether a visitor is known or anonymous, and the store provides highly personalised recommendations. The average amount spent increases, and the number of repeat purchases grows.
|
Implementation of a custom information system based on machine learning.
Addition of a machine learning module to an existing information system.
Machine learning algorithm development as part of a globally distributed team.
If you would like to assess the possibility
of adding machine learning to your system,
please contact us at
Skype calls and virtual screen sharing: we talk with our customers every day. Each week, project teams meet up for a weekly demo, sprint planning, and Q&A sessions.
80% of our customers are return buyers. Most of our clients recommend our services to their partners and colleagues.
You get your own project manager, on call 24/7. We also offer an onsite PM. Teams use customers’ Jira as a release management tool.
Why? Good salaries, employee benefits, and a healthy working environment! We often send our staff for training and take pleasure in their progress.
You get transparent project management, along with a detailed risk map. You also get a list explaining project expenditure.
