Comparable fit
Year, make, model, trim or floorplan, condition, geography, and recency determine which units belong in the set.
Predictive Appraisal turns comparable listings, observed market movement, inventory context, and condition into an explainable acquisition range—not a magic number.
The number matters. The evidence around it determines whether a manager should act.
Year, make, model, trim or floorplan, condition, geography, and recency determine which units belong in the set.
Compare asking or acquisition assumptions with observed active and removed-listing context.
Days on market and listing movement reveal whether the segment clears quickly or requires patience.
Mileage, damage, reconditioning, options, and unit-specific facts explain why the median is not the answer.
Show the size, spread, source coverage, and freshness of the comp set so uncertainty is actionable.
This arithmetic demonstration does not use live market data. It shows how position and evidence volume affect the conversation.
The proposed price is above the simple median. Document condition, equipment, or scarcity that supports the premium.
The manager should be able to revisit the evidence after acquisition.
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Scope, ownership, and limitations—without fine-print surprises.
No. It uses only the numbers entered by the visitor and does not access live market, vehicle, condition, or transaction data.
It means using observed comparable behavior and inventory context to form and revisit an acquisition or retail range. It does not mean certainty or a guaranteed sale price.
Its market-intelligence model can use a removed listing’s last observed price as a clearing-price proxy. That is not the same as a confirmed transaction price, and the distinction should be retained.
DealerCRM connects market context, inventory, factory data, appraisal requests, decision evidence, and follow-up in one operating system.
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