Sees every price that is out of line with cost or with what similar customers pay, and turns the fixes into pricing rule updates.
AI software for aftermarket parts
The margin and revenue platform for aftermarket parts.
PartsPulse is one system for the three levers that decide how much money a parts business makes: pricing, sales, and stocking. Built for heavy equipment manufacturers and the dealer networks that sell their parts.
Built for the manufacturers and dealer networks behind
The problem
The margin and revenue a parts business is missing are already in its sales history.
Nobody's figured this out yet. Somebody ought to be bringing that data together and giving us something really good.VP of Parts, multi-location truck dealer group
Every aftermarket operation has a dashboard for what it sold last week. Almost none can see what it is leaving on the table: the price increase that would have held, the reorder that never came, and the price that never moved when cost did.
Every price increase is a bet
A parts manager prices tens of thousands of parts for thousands of customers. That is millions of pricing bets, made with no tool built to guide them. Some customers pay less for a part than comparable customers do, and an increase there would hold. Others already pay at the top of the range, and an increase there could send the order elsewhere. The sales history shows which is which.
Lost orders and missed sales go unnoticed
Sales reps know their accounts, but across hundreds of them things slip through the cracks: the customer who misses its usual reorder date on a part, and the customer who never buys parts that comparable customers buy regularly. Our analysis shows that once a part is past its usual reorder date, it is half as likely to be reordered at all.
When cost goes up, prices stay put
Customer-specific prices are usually set as a fixed number. When a supplier raises the cost of a part, the matrix price moves and the special price stays where it was. Across thousands of special prices, the gap goes unnoticed and the margin shrinks on every order. Cost and sales history together show every part where cost moved and the price did not.
The platform
One system for the three levers that decide how much money a parts business makes.
Starts each day knowing which customers are due to reorder and which parts they are likely buying elsewhere. The manager routes, manages, and tracks the opportunities.
Picks what to carry from each supplier, how many, and the margin on each.
The product
From flag to action in a few clicks.
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Sales
Sales Intelligence
Open an account to see which parts are past their usual reorder date and which this customer isn't buying. One click puts the part on the rep's call sheet. -
Pricing
Price Intelligence
Open a flagged price to see the peer target, the price history, and whether the price has been tested, then mark it updated. -
Pricing
Price Strategy
Review the suggested rule changes and add them to a draft price pass, with each change's before, after, and dollar effect. -
AI parts engine
Customer clusters
Size customer groups by revenue or by number of customers, then open one to see its members, rules, and prices below target.
Product views shown with anonymized data.
Dealers and OEMs
Dealers and OEMs are on the same team.
Most parts software picks a side: dealer tools built for dealers, OEM tools built for OEMs, each blind to what the other sees. PartsPulse connects the two, and every manufacturer or dealer that joins makes the picture clearer for the rest.
- Sell on the full value of a part, not just its cost
- See which accounts are slipping before the revenue is gone
- Benchmark your parts business against comparable dealers
- See your wallet share at every dealer, not just your own books
- Understand where you are winning and losing, and why
- Set customer pricing knowing what the part sells for downstream
In practice
One dealer. One part. $250,000.
Revenue from one phone call, on one part line, at one dealer
An opportunity nobody had surfaced
A heavy equipment manufacturer knew it was losing parts revenue but couldn't find where. Clustering its dealers by buying behavior showed one dealer buying relined brake kits far below comparable dealers. The opportunity came back priced and ranked, so sales could work it straight away.
This is the holy grail. Forty years in this business and I've not seen anything like this.Managing Director, Parts — heavy equipment manufacturer
Get in touch
See it against your own data.
Tell us about your parts business and we'll walk you through what PartsPulse finds in it. Demos run on real data, not a canned environment.