Case Study: Razor Group achieves operational predictability and improved forecast accuracy with Trellis Dynamic Pricing

Razor Group improves forecast accuracy by 12% with Trellis Dynamic Pricing

The Razor Group, a large Amazon business managing over 18,000 SKUs, faced challenges with operational predictability. Daily marketplace volatility caused unpredictable demand shifts, unreliable inventory forecasts, and forced the team into constant manual pricing interventions. To solve this, the customer partnered with vendor Trellis to implement its Dynamic Pricing product.

Trellis implemented a solution that used daily pricing adjustments based on live marketplace signals to stabilize execution. The results for Razor Group included an 18X return on investment, a 4.5% improvement in margin, and a 12% improvement in forecast accuracy (wMAPE). Trellis helped the customer achieve greater predictability, reduce discounting, and improve inventory performance across its vast catalog.

Razor Group