Agile Auto Case Study: Reducing Cost of Retail Sales by 32% With Agile Auto
Overview
Toothman Automotive Group partnered with Agile Auto to gain a VIN-level view of its true store and market demand, eliminating guesswork in acquisition, recon, and pricing decisions. Within 90 days, the group saw measurable improvements in cost structure, turn, and operational efficiency.
The Challenge
- Buying units that looked good in the market but didn’t match actual demand
- Over-reconditioning lower-price-point vehicles
- Policy hits eroding front-end gross
- Aged units tying up capital and slowing turn
They needed clarity, not more data. Agile Auto delivered it.
The Agile Auto Solution
- A VIN-level view of what their store can actually retail
- Precise mileage bands, price bands, and equipment packages that move fastest
- Clear guidance on what to buy, what to avoid, and where to cap recon
- A disciplined, demand-driven acquisition strategy
This shifted the store from buying on instinct to buying on precision.
Key Results
22% Reduction in Cost of Acquisition
Tighter buy-box, fewer over-market purchases.
33% Reduction in Policy Hits
Cleaner cars in, fewer recon surprises.
28% Reduction in Average Recon Spend
Stopped over-investing in low-price-point units.
32% Reduction in Total Cost of Retail Sale
Better buys + lower recon + faster turns.
“Agile Auto gave us a VIN-level view of our true store and market demand. Aligning our purchases with retail needs led to fewer surprises, quicker turnover, and lower selling costs.”
Why It Worked
- Faster inventory turn
- Reduced customer feedback friction
- Stronger protection of front-end and back-end gross
- Elimination of guesswork in acquisition and recon
- Inventory aligned to true store demand, not market noise
Agile Auto didn’t just change their process, it changed their visibility.
Conclusion
Agile Auto helped Toothman Automotive Group cut its total cost of retail sales by 32% by replacing instinct‑driven buying with VIN‑level demand intelligence that clarified exactly which units, mileage bands, price points, and equipment packages their store could truly retail. By aligning acquisitions to real store demand, capping recon appropriately, and eliminating over‑market purchases, the group reduced acquisition costs, policy hits, and recon spend while accelerating turn and protecting both front‑ and back‑end gross. The result was a 90‑day operational reset driven by precision, discipline, and visibility rather than more generic market data.