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.
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