Conversational analytics for carriers, 3PLs, freight brokers, and shippers — turning TMS, WMS, telematics, ELD, and freight invoicing data into the answers your operations and yield teams need before the dock door opens.
Carriers, 3PLs, brokers, and shippers operate on a dense exhaust of TMS, WMS, ELD, telematics, freight invoicing, and EDI data. By the time the weekly performance review meets, the exceptions are already history and the lane that lost money this week is repeating the loss next week.
True margin per lane — net of fuel, accessorials, deadhead, detention — gets calculated quarterly by one analyst with a workbook. By then the lane has run 90 more times.
Delays and detention get logged into the TMS. Surface-level dashboards count incidents. Nobody sees the lane-driver-shipper pattern that predicts them.
Fleet-wide MPU/MPD numbers hide that 30% of the trailers run hot while 20% sit. The detail exists; the conversation about it doesn't.
The shipper asks how their freight is performing. You produce a deck. They produce a deck back. You're both arguing about September on October 30.
The pricing team commits rates on a lane this week without seeing that last week's profitability flipped negative due to fuel and accessorials.
HOS, CSA, insurance status, MC authority — the data exists across four systems. Compliance officers reconcile manually, every week.
Data Dialogix sits over your TMS, WMS, telematics, ELD, freight audit/payment, and EDI systems. We don't run your dispatch; we make your network legible. Operations, yield, pricing, and compliance teams ask questions the way they'd ask a colleague — and get answers backed by the actual operational systems, with the lane, leg, and load detail one click away.
For logistics, that means we model the way the business runs: by lane, by leg, by driver, by trailer, by shipper, by mode, by accessorial. Not by TMS load number. When a yield analyst asks "what's our true margin on the LAX–DAL dry van lane last week, net of fuel and detention," the platform returns it in fifteen seconds — with the contributing loads and accessorials drillable.
Every connector is read-only by default. We never write back into your operational systems. The platform's job is to make the dispatch desk faster, not to replace it.
True margin by lane and leg, net of fuel, accessorials, deadhead, and detention.
End-to-end network performance: hubs, lanes, modes, and customer flows.
Tractor, trailer, and driver utilization by domicile and lane segment.
Predictive flags on delays, detention, and OTIF risk — before the dock call.
Live performance scorecards for carriers (if you're a broker/shipper) or customers (if you're a carrier).
Real questions from logistics operations, yield, and pricing teams, answered in seconds rather than days.
Every metric below is computed live from source systems, available as a conversational query, and pinnable as an automated monitor.
An anonymized engagement profile drawn from a typical regional carrier yield and operations function. Names and specifics generalized — directionally representative of what a five-month engagement looks like.
The starting point. The yield team performed a quarterly lane profitability review using exports from McLeod, telematics CSVs, and the fuel card system. The deck took two analysts a full week to produce and was 60 days behind the underlying data. Pricing decisions were committed without current lane economics. Detention dwell was a recurring complaint with no quantified picture.
What we did. Connected the TMS, telematics, ELD, fuel card, and freight audit data into a single conversational layer. Modeled the carrier's lane, leg, domicile, customer, and accessorial hierarchy. Built yield and operations workspaces, with a separate compliance workspace for the safety team. Defined lane margin once, all-in, so the same number reached pricing, sales, and finance.
What changed. Yield analysts began running lane-level margin queries in seconds. The pricing team retired four lanes that were chronically negative net of fuel and accessorials, and renegotiated rates on a dozen more. Detention dwell at the four worst shipper facilities was quantified and used in commercial conversations — three of the four changed their dock processes within a quarter.
Five months later. Lane-level profitability is the standing weekly metric in the yield meeting. The CSA monitoring runs continuously. Two of the original yield analysts moved to dedicated network design work.
In logistics, ROI on conversational analytics shows up in three specific places. We instrument each so it's defensible to finance.
Live, all-in lane margin visibility typically lifts network operating margin 1.5–4 points within a year. The lever is killing or repricing chronically negative lanes that look profitable on revenue-per-mile alone.
Better visibility into trailer and tractor utilization by domicile typically frees 5–10% of effective fleet capacity without buying a single new asset.
Quantifying detention dwell turns soft complaints into hard commercial conversations. Continuous CSA and authority monitoring removes a recurring manual reconciliation burden from compliance teams.
Native connectors for the systems carriers, brokers, 3PLs, and shippers already operate. No TMS replacement, no rip-and-replace.
Trucking and freight operate under FMCSA and DOT oversight. The platform is designed to honor those data and reporting expectations from day one.
HOS, CSA scores, drug & alcohol clearinghouse status, MC authority — surfaced as live monitors, not weekly spreadsheets.
Encryption at rest and in transit, least-privilege access, full audit logging.
Designed against the customs-trade partnership data and supply-chain visibility expectations for cross-border operators.
Row-level masking and consent-aware handling of driver telematics and personal data for cross-border fleets.
Book a 30-minute working session with our team. Bring one operational question your current tools answer slowly — lane margin, detention, fleet utilization, or compliance. We'll show you what conversational analytics looks like against your kind of data.
Book an industry demo