TowingOS turns fragmented dispatch, financial, fleet, and labor data into role-based business views — so CEOs, CFOs, regional GMs, and service managers see the same truth and act on it.
Dispatch lives in TowBook. The books live in QuickBooks. Fleet lives in Fullbay. Labor lives in Paycor. Spend lives in Ramp. The truck list lives in a spreadsheet. By the time leaders try to answer "are we on plan this week?", the numbers don't line up — and the meeting becomes an argument about whose data is right.
Calls, dispatches, jobs
GL, AR, revenue, recognition
Maintenance, downtime, PMs
Punch times, payroll
Cards, vendors, expense
Fixed assets, registrations
TowingOS is designed as a business-review platform, not a dispatch screen. It pulls in the systems you already run, normalizes them into a single operating model, and routes the right view to the right role on a scheduled cadence.
TowBook calls, Fullbay work orders, QuickBooks GL, Paycor punches, Ramp spend, and the fixed-asset truck list are mapped to a common operating schema — truck, location, driver, job type — so every chart starts from the same definitions.
A CFO sees revenue recognition and AR. A regional GM sees calls per truck per day by location. A service manager sees PMs due and downtime.
Revenue per truck per month. Calls per truck per day. PM compliance. Trucks-down days. Working AR. Revenue recognition bridge. Each KPI has one definition — used everywhere.
Click a KPI and follow it down: by location, by truck, by job type, by driver, by week. TowingOS is built to help leaders answer the second question, not just the first — not just "what's down?" but "why is it down, and where?"
TowingOS is being built to compute a weekly priority list — the trucks, drivers, accounts, and locations most off-plan — and to give operators a chat interface to ask follow-up questions in plain language. The point isn't a prettier chart. It's that the right conversation is already queued up before the meeting starts.
Every role sees a dashboard built around the decisions they actually make — not a generic landing page they have to filter every time.
How is the network performing this week against plan, prior year, and the trailing twelve? Where is the dollar of risk and the dollar of opportunity?
The bridge between TowBook revenue and QuickBooks revenue, settled on one page — with working AR, book AR, and aging by account.
Where are we leaving capacity on the table? Where is the network constrained by drivers, by trucks, or by demand?
Your yards, your trucks, your team — same KPIs as the corner office, scoped to what you actually own this week.
What's down, what's due, what's costing more than it should — sourced from Fullbay and reconciled to the asset list.
Which accounts and motor clubs are growing, which are slipping, and where the mix is hurting average revenue per call.
The day-to-day picture — trucks running, drivers on, calls completed, what's off-plan right now, and what needs a phone call before end of shift.
TowingOS is designed to connect to the operational, financial, fleet, labor, and spend systems most towing operators already use — and reconcile them into one operating model on a scheduled refresh, not a minute-by-minute live feed.
Calls, dispatches, drivers on shift, punch-in/out at the job level.
dispatch · jobs
General ledger, AR, revenue recognition — the financial side of the bridge.
gl · ar
Work orders, preventive maintenance, downtime, parts and labor by truck.
fleet · maintenance
Punch times, payroll hours, driver hours reconciled against TowBook.
labor · payroll
Card spend and vendor activity attributed to truck, location, and job.
spend
Fixed asset list of trucks, classes, and registrations — the spine of the model.
assets
A working operating model has one definition for each KPI — not a different one in each system. Numbers below are illustrative.
▍ Illustrative — not customer data
The longer-term vision for TowingOS includes a chat-style operator interface. Once the operating model and KPI definitions are in place, the data is well-shaped enough for an AI agent to help surface causes — not just trends.
TowingOS is being built in deliberate phases — data first, KPIs second, role views third, and operator intelligence on top of that. Each phase is useful on its own.
Set up ingestion from TowBook, QuickBooks, Fullbay, Paycor, Ramp, and the asset list. Land raw data in a normalized lake.
Agree on the definition of every operating KPI. Build the revenue recognition bridge between TowBook and QuickBooks.
Stand up dashboards for CEO, CFO, ops, regional GMs, service managers, sales, and GMs. Wire in the weekly priority engine.
Add the conversational interface that lets operators ask why, not just what. Surface causes behind movements in the KPI set.
We're working with towing operators to shape TowingOS around real decisions and real data. If you're running calls, trucks, and crews and tired of reconciling spreadsheets, let's set up a working session.