Kiraana transactions, online indicators, public records, POS meta-data, etc. Since we got to work with several banks, we realized that machine learning isn't used by a lot of banks since it's not interpretable. We developed a Zero Code interpretable machine learning workbench that can be used across industries to quickly see relationships in and predict future data with an API that can simply be plugged in to web or other software applications. Leveraging this tool, we built an AI enabled real-time fleet management solution that tracks Novopay's network of ~800 sales people and distributors, managing their retail network of over 50K locations. We help that allocate leads more intelligently, manage churn in real-time, and optimise beat maps based on traffic.