Protect margin and respond faster than competitors without manual repricing.
Start in the part of Pricemaster built around how your products are priced and how your margin is won.
These stay consistent whichever route you take: margin protection stays on, and AI Margin Miner keeps testing for more profit.
AI Margin Miner is a key feature in both paths. In competitive markets, it tests whether the market follows you upward. In sales-led pricing, it helps discover price ceilings where no true competitor benchmark exists.
Whether prices are moving with the market or being tested against sales response, Minimum Margin Protection makes sure costs, errors, or aggressive competition do not push products into an unprofitable position.
One path follows the market. The other learns from sales behaviour. Both are designed to improve profit without losing control.
Use live market signals to react faster, protect brand position, and automate price changes across competitive product ranges.
Use sales velocity, controlled testing, and automatic rollbacks to discover stronger price points without damaging demand.
The messaging should make it obvious whether a visitor is competing in a visible market or pricing unique products without direct like-for-like benchmarks.
Relevant examples include Trade Counter Direct, HPPD, eCatering, DVS Power Tools, and Trade Workwear, where competitor movement, stock visibility, and daily pricing pressure directly affect conversion and margin.
Businesses like Beaumonde need a different story: no direct like-for-like benchmark, stronger reliance on sales velocity, controlled experimentation, and a pricing engine that learns rather than blindly follows a market.
See how market dashboards, competitor-led rules, dynamic segmentation, and margin protection work together for reseller catalogues.
Open Market Data pathSee how sales velocity, safe testing, margin guardrails, and automated rollback support brands pricing unique products.
Open Sales Data path
