Case Studies
Predicting Patient Volumes
We helped one of the largest Children’s Healthcare Network more accurately forecast patient volume across their hospitals.
We helped one of the largest Children’s Healthcare Network more accurately forecast patient volume across their hospitals.
Our ML consultants helped a publicly traded, multi-national manufacturer more accurately identify and predict drivers of revenue.
Read how we revamped this leading O&G firm’s fuel crack spread forecasting techniques using ML.
We examine how to apply ML & AI for the IoT use case of mining for aircraft performance insights.
We revamped this trucking operator’s demand forecasting models to optimize fleet placement across North America.
Retail inventory optimization is a great candidate use case to apply machine learning & deliver immediate business value.
Oil & gas firms have a tremendous opportunity to refresh demand forecasts with ML techniques, improving accuracy and adding to the bottom line.
We built a custom demand forecasting model using ML techniques, helping a leading professional services firm predict office bandwidth requirements.