Case study
Divera - MACHINE LEARNING APP
Bringing the entire mechanism of agent training to the next level and making agents’ training a smarter process by introducing Machine Learning and AI.
TECHNOLOGIES USED
Celery, Django, Keras for AI, Machine Learning
Challenge
A need for improvement in training
An agent training system is a key process in many organizations and a major HR-related investment. That’s why it’s extremely important to make it as robust and budget-optimized as possible. The real challenge is to bring the entire mechanism to the next level and make agents’ training a smarter process by introducing Machine Learning and AI.
Solution
Machine learning to the rescue
This web application uses Machine Learning to train a set of agents by simulating the outcomes that later can be used in specific scenarios configured in the editor. AI analyzed the outcome of the agent’s performance about pre-uploaded scenarios to determine the later path for each scenario.
More case studies

Contact us

Let's get in touch
Tell us about your project

400 Concar Dr, San Mateo, CA 94402

+1 (888) 413 3806