Ideas for Model Explainability for End Consumers of a Demand Forecasting Model?

I inherited a large model code base that basically forecasts the contact volume across many languages-regions. It basically creates unique RidgeCV regression models for each market trained on the last 2-3 years of data and spits out a predicted contact volume at different time horizons. The stakeholders then use the outputs of the model as a baseline upon which they apply business logic, e.g. new product launches, predicted customer growth etc, to come up with a final contact volume upon …

code code base consumers data datascience demand demand forecasting explainability forecasting ideas languages regression stakeholders