AI and Forecasting
Your data, your models, decisions you can defend.
Predictive models trained on your data. Every decision comes with the reason the model made it. No black boxes, no third-party APIs without permission.
What's included
Demand forecasting by SKU and season
Lead scoring by close probability
Early churn detection
Sentiment analysis on tickets and reviews
Dynamic pricing respecting margins
Explainability (SHAP, feature importance) per prediction
Real examples
Stock forecasting
35% fewer stockouts for a retailer with 1,200 SKUs.
Lead scoring
Reps close 2x more by calling the >80 scores first.
Retail churn
Customers likely to churn get an incentive before they ask to leave.
Dynamic pricing
Daily recommended rates respecting minimum margin per category.
FAQ
How much data do I need?
Forecasts need 12 months of history. Scoring, a few hundred conversions. If there's no data, we start collecting.
Are the models transparent?
Yes. Every critical prediction ships with its explanation.
Where do the models run?
Your infrastructure or ours in the EU. Your data doesn't leave without explicit approval.
Want to talk about your case?
Free initial scoping. Fixed quote after the first call.
Get in touch