IndustryEnergy and Utilities
RoleMachine Learning, Enterprise Bot
TechnologyPython, Pandas and Numpy, Plotly, In-house pattern recognition algorithm
Recognize patterns in noisy purchase data
A US-based MNC client of ours in the energy and utilities space wanted to spot patterns in their noisy purchase data to calculate purchase price variance. The aim was to provide price intelligence on suppliers.
The power to predict, gives you wings
We came up with a Machine Learning algorithm to identify parts in the noisy data identical to the observed patterns. We also created a tool (with easy drill-down and explorative navigation) to help visualize the purchasing data and a prediction engine to predict the right price for a part.
AI powered bot improves productivity
The company was, thus, able to see a 10% improvement in identifying cost-saving opportunities. Insights served as pointers to decisions, expected result, and standard deviation.