Poor inventory and pricing decisions from weak appraisal data

$15,000–$75,000 per month in lost gross from 5–15 vehicles per rooftop that either age out and are wholesaled at a loss or are under-priced by $1,000–$5,000 each due to weak appraisal data. • $15,000–$75,000 per rooftop per month in missed gross and holding cost from 5–15 units aging out or being under-priced by $1,000–$5,000 each, plus additional hidden losses when specialized segments like fleet, rental, or government trade-ins are misrouted to retail vs. wholesale and either sit on the lot or are dumped at auction below what a data-backed decision would have yielded. • For a single rooftop, 5–15 trade units per month either age out or are under-priced by roughly $1,000–$5,000 each due to weak initial appraisal and pricing decisions, creating an estimated $15,000–$75,000 in lost gross profit per month between aged inventory write-downs, wholesale losses, and missed front-end gross on fast-moving vehicles.

Individual managers and used-car buyers mentally benchmark against past deals and gut feel, then cross-check a few online guides and auction screens on separate systems, often printing or handwriting notes and keying final numbers into the DMS or a generic CRM, without a unified data-driven appraisal workflow. • Managers and sales staff manually cobble together values from multiple disconnected sources (auction sites, OEM guides, book values, prior deals, desk managers’ memory) and gut feel, often re-working numbers in spreadsheets or on paper each time there is a contentious trade or aging unit. • Used-car and wholesale managers patch together values from gut feel plus a mix of disconnected tools and reports, then track offers and outcomes manually.