margin
+14%
Gross-margin uplift versus static, cost-plus price lists.
Dynamic
Pricing
Price every part competitively, in real time. The engine understands supply, demand, cost, and the competition to find the price that maximizes margin and conversion, and updates it autonomously.
volume
+33%
More units sold across the catalog.
conversion
+31%
Higher quote-to-sale conversion once prices track live market demand.
Product features
Stay one step ahead of
the market
01
Live cost and market signals
Supplier cost, competitive landscape, quote conversion, regional demand, and costs are ingested on their own schedules and normalized to each part, giving every SKU a current profit profile and market position.
02
Price sensitivity per part
A demand curve is fitted per part from your sales data and competitor transactions, returning a price at which conversion and margin are at their optimal to maximize gross profit.
03
Configurable guardrails
Floors, ceilings, contract prices, movement caps and rounding rules are configured per part, group or account. Every recommendation is bound to those limits before it is published.
04
Price updates
Approved prices are automatically written back to your ERP and updated across channels, then measured on realized margin and win rate, which feeds the next cycle.
What it solves
Every part priced exactly right.
Problem 0101
Cost-plus pricing leaves money on the table
A flat markup ignores what each part is actually worth. On low-elasticity parts you under-charge and bleed margin; on competitive parts you over-charge and lose the sale.
Solution
Per-part elasticity modeling
The engine finds the price that maximizes margin where demand is firm, and wins the order where it is not.
Problem 0202
Price lists update quarterly; the market moves daily
Costs, competitor prices and demand shift constantly, but manual price lists refresh once a quarter. By the time prices change, the opportunity is gone.
Solution
Autonomous repricing
Prices update as often as daily against live cost, competitor moves and economic indicators.
Problem 0303
Nobody has time to price 40,000 SKUs
Teams hand-tune the top sellers and leave the long tail on autopilot. That tail is most of the catalog, and most of the leaked margin.
Solution
The engine prices the entire catalog
The tail gets the same rigor as the high-running SKUs, without adding headcount.
Example dashboard
Prices that move with the market.
DEMO DATA
AI Pricing Simulator
Simulate price changes and expected impact on conversion and gross profit
Revenue Opportunities
+$2,734,918
Pricing Opportunities
8,412
Average Price Change
+$2.14
| Part Number | Current Price | Suggested Price | Revenue Impact |
|---|---|---|---|
FD15BD402 |
$312.40 Conv. 84.20% |
$318.65 ↗ +2.0% |
↑$640/yr |
SC14CL221 |
$358.10 Conv. 6.80% |
$355.05 ↘ −0.9% |
↑$1,240/yr |
VW6WP221 |
$402.75 Conv. 91.30% |
$420.88 ↗ +4.5% |
↑$2,180/yr |
RM19HL07L |
$458.30 Conv. 4.20% |
$441.74 ↘ −3.6% |
↑$3,410/yr |
TY18OF115 |
$196.20 Conv. 88.60% |
$201.10 ↗ +2.5% |
↑$870/yr |
HN21AL340 |
$274.90 Conv. 5.40% |
$262.15 ↘ −4.6% |
↑$1,930/yr |
Scenario Simulations
Run a scenario to forecast pricing impact
Ask anything about pricing strategies
Increase price by 10% for brake discs
What if I reduce all prices by 50%?
Compare clutch kit pricing vs competitor pricing
Adjust our price to match competitor pricing
Get started
TAKE CONTROL OF YOUR PARTS BUSINESS WITH AI
We'll model elasticity on your real SKUs and show the margin and conversion you're leaving on the table, before you change a single price.