Configure the base margins and adjustments for pricing recommendations.
Adjust target margins based on how fast bikes sell.
Configure which price to recommend based on how fast similar bikes sell.
Configure automatic price reduction recommendations for slow-moving stock.
Configure what constitutes excellent performance for the heatmap scoring.
Configure age filtering and depreciation risk adjustments. Older bikes automatically get higher margins.
Configure how AI market data adjusts pricing recommendations.
Configure how current inventory levels influence price tier recommendations. When you have similar bikes in stock, the system can nudge toward more aggressive pricing.
Configure ABCXYZ inventory classification thresholds. ABC is based on margin performance, XYZ is based on days held/velocity.