CaseStudies
Every field where a forecast can avert a major loss or create major value. Pick a domain to see its overview and case studies.
Healthcare
Care settings generate vital signs and lab values continuously. Catching deterioration hours earlier changes preparation and staffing alike. We have researched biosignal forecasting, such as ICU pain prediction, jointly with clinical partners.
Retail & E-commerce
Retail P&L tracks forecast accuracy directly. Miss and it becomes stockouts or waste; hit and purchasing, staffing and logistics all get lighter. What matters is forecasting many fine-grained series, per SKU and per store, quickly.
Energy & Power
Electricity is hard to store: supply must match demand continuously. As renewables grow, output swings widen, and procurement and dispatch become a race against time. Forecasts of demand, output and prices hours to days ahead directly drive cost and stability.
Finance
Financial decisions are forecasts of future numbers. Reading repayments, cash flows and risk as time series turns credit, provisioning and treasury decisions from intuition into grounded outlooks.
Manufacturing
A production line sits between two time series: demand and equipment condition. Overproduce and it becomes inventory; stop and it hits delivery. With forecasts of demand and failure, planning and maintenance are decided before events, not after.
Disaster & Environment
Rainfall, river levels and epidemics are series where errors affect people. Observations are sparse and biased, yet decisions cannot wait. Correcting biased observations and expressing the near future as probabilities supports the timing of evacuation and response.
Logistics
Logistics means continuously matching capacity to the wave of volume. Seeing volume, delays and utilisation half a day earlier changes vehicle bookings and shifts. Reading the peaks in advance supports both cost and service quality.
Agriculture
Agriculture is shaped by weather more than any other field; growth, yield and disease are all functions of time. Forecasts of growth and disease risk let harvest, shipping and treatment be planned beyond rules of thumb.
Cross-domain
Foundational time-series technology that is not tied to a single field. Models and methods from our own research that underpin case studies in every domain.