Discipline
Machine Learning
& Forecasting
Models built on your own history: forecasts for demand, capacity, and money, matching and recommendation, and prediction of what is likely to fail. Each model is checked against past data and documented.
What we forecast
- Demand and capacity
- Revenue and cash flow
- Reliability and failure
What we train
- Matching and recommendation
- Models fine-tuned on your own data
- Checked against history, documented for the team
- Predictive models, matching, and models trained on your own data.
- Demand and capacity forecasting
- Financial forecasting
- Matching and recommendation
- Reliability and failure prediction
- Fine-tuning models on your own data