Monitor used-car prices, inventory, listings, and market trends across dealerships and online marketplaces. Gain real-time pricing intelligence to optimize valuations, sourcing, and competitive positioning.
Who they are: An automotive marketplace, dealer group, or pricing team that needs to price used inventory accurately against a fast-moving market.
What success looks like: A daily, normalized view of comparable listings and prices so every vehicle is priced to sell without leaving money on the table.
The client operates in the used-vehicle space and prices inventory competitively at scale. Identifying details are withheld; figures are illustrative.
Pricing a used car is a moving target. The same model varies by year, mileage, trim, and city, and the competitive set changes every day as cars list and sell. The client's team was benchmarking manually against a handful of listings — slow, partial, and quickly outdated. They needed a comparable, continuously refreshed dataset.
Actowiz built a used-car pricing intelligence pipeline:
Illustrative sample data — not real listings.
| Variant | Mileage band | Listings | Median price | 30-day trend |
|---|---|---|---|---|
| Base | <30k km | 42 | 6,40,000 | ▼ −2% |
| Mid | 30–60k km | 65 | 5,70,000 | ▼ −3% |
| Top | <30k km | 18 | 7,80,000 | ► flat |
| Listing ID | Model / Year | Mileage | Price | Days listed | Flag |
|---|---|---|---|---|---|
| AU-2201 | Model X 2022 | 24k | 6,50,000 | 6 | — |
| AU-2245 | Model X 2022 | 41k | 5,55,000 | 28 | Price cut −4% |
| AU-2260 | Model X 2021 | 52k | 5,20,000 | 3 | New listing |
| Metric | Before | After |
|---|---|---|
| Benchmarking | Manual, few listings | Full comparable set, daily |
| Pricing freshness | Weeks old | Refreshed daily |
| Like-for-like accuracy | Model-name only | Variant + mileage bands |
| Overpriced / stale inventory | Common | Flagged early |
Key outcomes: faster, more accurate pricing against a live comparable set, early flags on overpriced or slow-moving stock, and a team that prices with data instead of guesswork.
Make, model, year, variant, mileage, location, price, price changes, and days listed across marketplaces.
Listings are normalized into variant and mileage bands, so vehicles are compared on true comparables, not just model name.
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