Valet Operator · Hospitality

Daily reports that reconcile themselves, with three things flagged for a person.

A reporting system that pulls the day’s tickets, hours and payments together and flags only the lines a manager needs to look at.

What is happening now.

Luxin, an AI consulting firm, built, is building, or scoped this work. The status above says which.

Ticket counts keyed by hand from one system into a Monday spreadsheet, one to three hours a week.
Cars checked into the wrong location, so revenue lands under the wrong stand until someone notices.
A claims form that used to email everyone instantly and now tells nobody.

1–3 hours: a week keying reports by hand, as the problem found; The problem found
3: kinds of exception the report flags for a person; What is proposed

Every figure says where it came from. A problem found is not a result.

01
Pulls the ticketing export, the schedule and the payments, and builds the daily report in the shape the property managers already get.
02
Flags the three kinds of line a person should see: a charge with no matching payment, hours logged at a stand with no cars, and a comp with no authorization.
03
A per-location client report, updated only after a manager approves it.
04
A claims packet built from one sentence and sent to the two people who need it.

The tools it works inside.

Illustration of the pattern. Not a screenshot, and not real client data.

The report is assembled and held. A manager reads the flagged lines and approves before anything goes to a property manager.

Scoped

Scoped and priced, not yet delivered. Nothing on this page is a result.

Thirty minutes, no deck. You describe how the work actually happens, and I tell you plainly whether there is something worth building.