Off-lease, off-rental and fleet inventory, read and scored before the buyers who check by hand.
OpenLane is a major digital wholesale auction platform, now the umbrella brand covering ADESA's digital operation. Its inventory skews heavily toward off-lease, off-rental and fleet cars coming out of institutional consignors — which means known histories, predictable condition and a lot of volume in specific specs.
Institutional inventory is attractive precisely because it is predictable, which means everyone wants it and the good lots clear fast. The advantage goes to whoever evaluates the whole pool first. Reading every listing overnight and ranking by margin turns a volume problem into a shortlist, and it is the difference between bidding on what you found and bidding on what was left.
OpenLane serves inventory through an authenticated single-page application backed by an internal API with token expiry and rate limiting, and results are personalised to your account's buying permissions. The build drives your own session with proper token lifecycle handling, paginates within the platform's limits, and pulls condition detail in a paced second pass rather than alongside the listing sweep.
Excel, CSV, JSON, a Google Sheet that refreshes on a schedule, a direct write into MySQL or Postgres, or a REST endpoint your own tools can query.
They are the same group — OpenLane is the brand covering the digital auction operation that ADESA's physical business sits alongside. In practice the platforms present differently and need separate builds, and most dealers who want one end up wanting both in the same pipeline.
Yes. The automation drives your own licensed dealer session. Results are personalised to your buying permissions, so there is no meaningful version of this that runs on anyone else's access.
Yes, and it should — announced damage and estimated recon are what convert a bid price into a landed cost. They are fetched in a paced second pass so the extra volume does not trip the platform's rate limits.
Yes. A matching lot with time still on the clock triggers an alert by email, Slack or Telegram, with the scoring already attached so the decision is a yes or no rather than a research task.
Listing extraction with scoring typically runs $600 to $1,200. Adding condition reports and cross-platform MMR reconciliation runs higher, plus a small monthly amount for hosting and fixes.