Software for the auction work that should not require heroics.
At McLemore, I build the internal platform that carries work from first intake through cataloging, bidder communication, invoicing, and closeout. The point is simple: make repeatable work quiet so people can spend judgment where judgment matters.
Operating map
What it handles
Catalog acceleration
Draft descriptions, normalize details, pull the useful bits forward, and keep catalog work moving without pretending the machine is the auctioneer.
Valuation support
Bring comparable-sale research and item context into the same workflow as the asset, so estimates are easier to review and explain.
Task routing
Turn loose operational signals into the next right owner, reminder, or status, instead of relying on memory and heroic Slack archaeology.
Communication workflow
Help staff answer routine questions, preserve context, and keep sellers, buyers, and internal teams from losing the thread.
Invoice and closeout flow
Move from auction result to invoice, payment, settlement, and records with fewer re-keyed facts and fewer ambiguous handoffs.
Operator visibility
Make the state of the work visible: what is stuck, what changed, what needs judgment, and what can safely be automated away.
Where AI fits
AI is useful in auction operations when it is close to the work and humble about its role. It can draft, summarize, classify, compare, and route. It should not replace the judgment calls that make an auction credible.
The best systems do not make the business feel futuristic. They make tomorrow morning feel less clogged.