Most tools in this industry answer one question in isolation. TreadSignal runs a single connected chain: what is parked here, what it will consume, what to hold, what to charge. Each stage feeds the next.
TreadClean sits underneath all of it.
Vehicle registration data tells you what is parked in a market. It does not tell you how many tires those vehicles will buy. TreadRate is the conversion — a replacement rate that varies by segment, derived from physical wear rather than assigned as a flat coefficient, and reconciled against published national volume.
TreadRate applied to a defined geography and shaped to the calendar. Output is a demand figure for a metro, a state, or a warehouse service radius — built from the vehicles registered there rather than from what that location happened to sell last year.
Conventional replenishment forecasts demand from sales history. A stockout records as zero demand, the reorder point falls, and the next stockout is worse — a loop the system cannot see because its own output is the evidence it evaluates. TreadStock supplies a demand signal that originates outside the warehouse and is therefore immune to that censoring.
The brand a customer chooses at home and the brand they drive away on are different decisions. Offer AI builds the option set presented at the counter from live competitive data and category behaviour, so the counter converts instead of discounts. Deployed in production with measurable lift in ticket performance.
Every engagement begins here, because tire data arrives broken. Vendor codes embedded in brand fields. Size descriptions in four incompatible formats. Negative sales quantities where returns exceeded orders. Tier and fitment unclassified. No system downstream can be trusted until this is fixed, and no forecast survives bad inputs.
Pricing is set per engagement against network size and scope. Tell us the footprint and we will put a number against it.
Send us a market — a metro, a state, a warehouse service area — and we will return a demand and pricing sample built from live data. No cost, no obligation.