This appears to be a pricing and offer-management assistant that helps companies decide the right price or promotion for each product and customer, similar to a smart autopilot for price and offer decisions.
Reduces manual effort and guesswork in price and offer management, helping retailers and sellers optimize margins and win rates while responding quickly to market changes.
If tightly integrated into existing CPQ/commerce workflows with historical transaction data and domain-specific pricing models, the moat would be proprietary pricing signals plus workflow stickiness.
Classical-ML (Scikit/XGBoost)
Structured SQL
Medium (Integration logic)
Integration complexity with existing ERP/CPQ and the need for clean, granular transactional data for model quality.