Weather Twin
How does weather change business behaviour — and when should we act?
How will changing weather affect the business — not just tomorrow, but over the days that follow?
Weather data are easy to obtain. Understanding their business effect is much harder.
Simple correlations can be misleading.
A temperature increase from 5°C to 15°C may have a very different effect from an increase from 35°C to 40°C.
Rain today may influence demand immediately — or several days later.
The challenge is not forecasting the weather.
The challenge is estimating the response of the business to weather.
It connects weather dynamics with business behaviour.
A Weather Twin combines historical business outcomes with detailed meteorological information and external forecasts.
Instead of imposing a simple linear relationship, it can model complex response surfaces describing how business performance changes across weather conditions, locations and time.
Non-linear weather-response modelling
Identify response curves where the effect of temperature, rainfall or other variables changes across the observed range rather than assuming a constant linear effect.
Lagged and cumulative effect modelling
Estimate whether weather influences the outcome immediately, several days later, or through an accumulated effect over time.
Multi-dimensional response modelling
Model interacting weather conditions — for example temperature × humidity or temperature × precipitation — as continuous response surfaces.
Weather scenario simulation
Translate alternative weather patterns into expected business outcomes and quantify the difference between normal, favourable and adverse conditions.
Which weather conditions materially affect our business?
At what temperature or rainfall level does behaviour start to change?
Is the response immediate or delayed?
Which products, locations or customer groups are most weather-sensitive?
What business impact should we expect from the coming weather forecast?
