Every department, every rooftop, every question. From a warehouse you own.
Reporting, equity mining, and an AI your people actually use, layered on the data your DMS already generates. Daylight adds the intelligence; you keep running the way you do.
Ask your data. Live today.
Plain-English answers
Your team asks questions in Claude and gets answers from your own numbers. No vendor ticket, no waiting a week, no new platform to learn.
Per-user access
You decide who sees what, down to the store and the department. The GM sees his store. The owner sees the group.
Real questions it answers today
"How many sealants did we sell at all five stores at a $170 cost, broken down per finance manager?"
Asked by a finance director.
"What's service advisor gross profit this month?"
Asked by a GM.
"Which customers should we pull forward into a new Camry?"
Asked by a GM. The answer came back as three lists: 16 prospects, 189 lease maturities, 764 equity customers.
Department reporting
Sales
New and used units, gross, and retail-vs-wholesale classification handled correctly.
F&I
Product penetration and per-copy counting that matches how your store actually books it.
Service
Fixed-ops timing and labor visibility that ties back to the ledger.
Parts
Counter, wholesale, and internal parts movement, reconciled with GL.
GL
Deduplicated general-ledger detail so month-end ties without hand-fixing.
CSI
Customer satisfaction tracked alongside the numbers it should move with.
How it gets to you
Automated daily + month-end
The daily recap is built and emailed every morning. Month-end reconciles through the GL — no manual touch.
Ask Claude
Plain-English answers from your warehouse, with per-user access levels.
Live dashboards
Always-on web dashboards over the same warehouse. Drill by rooftop, department, rep, or day.
Owned warehouse
Your data lands in a Snowflake warehouse you control. Extend it, query it, keep it — even if you leave.
Security
Encrypted transfer with SFTP + PGP. Your data is protected end to end.
See the whole layer in action.
We'll demo it on anonymized group data: reporting through month-end GL reconciliation, plus Claude answering real questions on top.