🇺🇸United States

Extended Time‑to‑Cash from Slow Moving and Aged Units

4 verified sources

Definition

Poor pricing and inventory mix decisions slow down turnover, delaying conversion of floorplaned vehicles into cash and tying up working capital. Vendors repeatedly highlight that optimizing pricing and inventory mix is required to keep turn high and cash cycling quickly.

Key Findings

  • Financial Impact: If average days‑in‑stock increase from 30 to 40 days on a 300‑unit inventory with ~$25/day holding cost and ~$25,000 gross per 10‑day turn, the incremental delay and costs can easily exceed $30,000 per month in interest plus opportunity cost.
  • Frequency: Monthly
  • Root Cause: Lack of integrated tools to see predicted pricing, margins, and turnover simultaneously leads to pricing that favors gross on paper but drags cash flow and AR cycle in practice.[2][5][6][9]

Why This Matters

This pain point represents a significant opportunity for B2B solutions targeting Retail Motor Vehicles.

Affected Stakeholders

Controller/CFO, General Manager, Used Car Manager, New Car Manager, Floorplan Lender Relationship Manager

Deep Analysis (Premium)

Financial Impact

$10,000–$25,000 per month in avoidable margin give‑ups on over‑discounted parts lots, plus continued carrying cost on the wrong aged SKUs that are left behind because selection and pricing are driven by guesswork rather than a portfolio-level optimization of turn versus margin. • $15,000–$30,000 per month in excess carrying cost, scrapped/obsolete parts, and lost margin from reactive discounting on aged SKUs plus lost sales when high‑turn fleet parts are out of stock and vehicles remain down. • $30,000+ monthly holding costs and opportunity loss from delayed cash conversion.

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Current Workarounds

Each actor runs their own ad hoc view of aging units: spreadsheets of aged inventory and gross targets, manual reports from the DMS, sticky notes and whiteboards to flag problem VINs, group texts/WhatsApp and email threads to push discounts or incentives, and reliance on memory to know which vehicles must be moved first and which customer type (wholesale, rental, government, trade) can take them out fastest. • Excel spreadsheets to manually track inventory age, pricing adjustments, and customer inquiries. • Parts manager exports DMS reports of parts sales and on-hand quantities to Excel, uses color-coding and ad‑hoc pivot tables to guess which aged SKUs to mark down or return, tracks special fleet commitments and backorders in spreadsheets and paper notes, and relies on phone, email, and memory to coordinate with fleet customers about substitutions and pricing concessions.

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

Related Business Risks

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