Pecan AI

Start with one high-value narrow use case: churn prediction, lead scoring, next-purchase propensity, or demand forecasting

Consolidate transactional data from core systems with stable entity keys and timestamps before connecting

Use the co-pilot Describe what you want to predict prompt to define context, constraints, and success metrics

Evaluate model performance with business metrics (revenue impact, saved accounts) not just AUC or accuracy

Use explainability to inspect top features and verify drivers match business intuition

Tie predictions to concrete actions: save offers by risk band, sales SLAs by score, ordering rules by forecast

Run A/B or holdout tests using predictions vs business-as-usual to measure incremental impact