Use Cases@PharmEasy
Talking about the use cases, Konduru revealed that some of the areas the company is currently working on are applications that include alternative medicine suggestion, suggesting dependency tests, diet suggestions based on test results among other focus areas. “These offering will only increase with time to meet all of the customer’s health needs in a seamless manner,” he said. Through machine learning, we are trying to predict the best channels that give a higher LTV for the platform and also we want to start investing in channels to increase our retention and cohorts, he shared.
Design and user-interface also play a key role in driving customer retention. According to Konduru, while traditional interfaces like web are still in play, going forward there will be a shift towards simpler and context-aware interfaces like Chat and Voice interfaces. “We are innovating here to make the customer’s interaction frictionless and aim to improve people’s lives and bring healthy lifestyle by introducing Patient-Centered Care Management,” he said.
https://www.analyticsindiamag.com/deep-dive-online-healthcare-platform-pharmeasy-is-using-machine-learning-to-build-a-one-stop-solution/
