MH
Mike Hanson
Come Get It Trucking Inc.
Transform Transportation Into A Competitive Advantage.
T-TMS is a cloud-based, AI-powered Transportation Management System — designed, built, integrated, optimized, and maintained by Creative Mantra. Voice AI on the phones. A predictive rate engine that never stops thinking. Computer vision that reads paperwork the way a seasoned dispatcher would. Six named freight brokers and asset-based carriers run their operations on it, every day.
T-TMS is an AI-powered Transportation Management System for freight brokers and asset-based carriers. Not an internal tool, not a one-off engagement. A shipped, marketed, multi-tenant SaaS product with six named customers on its public testimonials wall — each one running real freight operations on the platform, every hour of every day.
Real-time visibility across the network. Automated workflows that reduce manual coordination. Fully customizable to complex transportation needs. And underneath: a 13-year backbone that has quietly absorbed every wave of freight-industry change since it shipped.
“The TMS with their integration capabilities has helped us grow our revenue 5X times.”
— a T-TMS client, from t-tms.com
Three failure modes every freight-broker and asset-based carrier has already met. Set out plainly, so the rest of the page reads as the response to them.
The platform doesn’t collapse under load. It absorbs it — quietly, hourly, for thirteen years.
Every unanswered call is a load lost or a customer soured. Every over-answered call is a dispatcher pulled off higher-order work. The night shift is where margin quietly leaks.
Miss a mismatched invoice and it becomes a dispute two weeks later. Miss a forged signature and it becomes a lawsuit. The clerical layer is where fraud and revenue leakage live.
Under-price and you leave margin on the table. Over-price and you lose the tender. The gap between what a lane should cost and what the operator quotes is where the competitive edge lives — if you have the intelligence to close it.
The features on T-TMS today are not the ones anyone would have specified on day one. They are the residue of continuous production — every new capability landed because a dispatcher, a broker, or a carrier asked for it after a real load went sideways. The discovery never stopped; it just changed name.
A brokerage runs different from an asset-based carrier. A LTL operator runs different from a truckload one. The platform had to be fully customizable from the first line of code — not by promise, by architecture.
Nobody runs a TMS in isolation. It sits between the customer’s ERP, the carrier’s dispatch, the load board, and the accounting stack. Multiple API + EDI integrations aren’t a feature line-item — they’re the reason the customer picks the product.
Insurance compliance, carrier contracts, document expiration monitoring, KPI tracking — these are not admin, they are the operational heartbeat. The Vendor Management surface got its own real estate for a reason.
Operators told us the same thing across a decade: we’re losing money on the calls we can’t answer. The voice AI layer wasn’t about replacing dispatchers; it was about picking up when the humans were already stretched.
A weekly report is a look backwards. A hourly one is a decision surface. The rate engine ships continuous analysis, not periodic summaries — because that’s the cadence the market moves at.
A transportation platform isn’t a product you launch. It’s an operating surface you run — every hour, every phone call, every paperwork bundle, every rate quote — for the customers who are trusting it with their revenue. T-TMS is what happens when the same team stays on that surface for thirteen years.
Client & integrations sit at the top — dispatcher UI, CRM, booking systems, load boards. Underneath, three highlighted AI layers do the operational lifting: voice AI on inbound and outbound calls, a predictive rate engine that runs hourly, and a computer-vision pipeline that reads every document. Platform & operations form the base — the 13-year backbone that has quietly absorbed every architectural refresh since 2013.
Inbound calls, outbound calls, carrier check-ins, dispatcher escalations — the voice AI layer picks up, classifies intent, and either answers instantly or hands the call to a human with full context already attached. Accent-adaptive, freight-vocabulary tuned. Every call ends as a row in the platform: timestamp, intent label, matched load, action taken.
Trained on the language of dispatch. Recognises lane names, load IDs spoken as digits, carrier codes said in a hurry. Handles regional accents without a re-ask loop.
If the AI is confident, it answers with a natural TTS response. If it isn’t, the call is routed to a dispatcher with full context already attached — caller, load, intent, transcript.
Night, weekend, holiday — the phone stays answered. Every call becomes a row in the platform, tagged and linked, ready for morning review.
Two real operator surfaces from the live product. The chip overlays visualise the voice-AI hand-off — the dispatcher opens the lookup, the AI has already tagged the intent, and one click reveals the matched profile. The underlying surfaces are authentic T-TMS screens; the AI-tag chips are labelled illustration.
T-TMS operator surfaces. The chip overlays visualise the voice-AI hand-off — dispatcher opens the lookup, AI has already tagged the intent, and one click reveals the matched profile. Chip overlays are designed illustration; the underlying surfaces are the live product.
Carrier rates, fuel-cost feeds, and regional demand fan into a single predictive engine that balances profitability with competitiveness. The output is a lane-specific, time-boxed rate recommendation — the dispatcher still owns the price, but the recommendation is built from a market view no spreadsheet can hold. Reports refresh hourly, continuously, since T-TMS shipped.
Every load closes as a document bundle — invoice, BOL, credit application, rate confirmation, letter of release, notice of assignment, lumper receipt. OCR extracts the text; a deep-learning validator classifies the type; a signature verifier matches against samples on file. Anomalies get flagged for HITL review. What the dispatcher used to do by eye, the platform now does by pipeline.
The pipeline reads the PDF, extracts text, classifies each page: Invoice, Bill of Lading, Credit App, Rate Confirmation, Letter of Release, Notice of Assignment, Lumper Code, Lumper Receipt, or Other.
Load ID, origin, destination, carrier — extracted, cross-referenced against the platform, populated for the dispatcher to confirm with a single click.
Invoice amount vs expected amount. Invoice number. Invoice date. Carrier remittance address. All populated. The dispatcher approves — or the AI opens an exception panel for anything that doesn’t match.
Signatures come in on every rate confirmation, every bill of lading. The verifier compares the submitted signature against samples on file — stroke by stroke, region by region — and returns a weighted confidence score. Matches auto-post. Anomalies land in a HITL queue. Every comparison is stored with its metadata; every dispute has an audit trail.
T-TMS is the multi-client SaaS — the cloud TMS six named customers run their operations on. TTMS Mailer is a different animal: an autonomous email agent Creative Mantra built for one specific client (Red Dog Logistics), sitting on top of T-TMS, reading Outlook, extracting loads, scoring carriers, and booking freight overnight — writing every action back into the platform. Two chapters, one long relationship.
Not a wishlist. Not a roadmap. The actual, shipped scope of the T-TMS platform as it stands today — every category verified against the live marketing site, every capability in continuous production for the six named clients above.
The specific providers — who runs the voice models, who runs the OCR, who runs the rate data feeds — are the client’s operational decisions and are not disclosed here. What we can name is the shape of the stack: what a cloud TMS with three AI layers and thirteen years of production actually looks like underneath.
T-TMS is a cloud-based transportation management platform designed, built, integrated, optimized, and maintained by Creative Mantra continuously since 2013. It serves freight brokers and asset-based carriers as a multi-tenant SaaS product, marketed and demoed at t-tms.com.
The platform ships three AI-native capability layers — voice AI for call taking and customer service, a predictive rate analysis and hourly reporting engine, and computer-vision document verification with signature validation — on top of a Postgres system of record, an integration surface that supports multiple APIs and EDI, and a CDN-backed document store.
The specific model providers behind the Voice AI stack, the Rate Engine, and the CV pipeline are the client’s operational decisions and remain private. We do not disclose them here. The categories below name what we can say publicly:
What we will confirm is the operating record. Thirteen years in production. Six named clients on the public testimonials wall. One team on the on-call rotation. Every deploy since day one has landed on the same platform, without a rebuild.
Six named clients means six different accounting systems, six different EDI dialects, six different load-board integrations. The platform’s job isn’t to standardise the industry; it’s to absorb its variance without visible seams.
Voice AI that only works in demo hours is not voice AI. The rate engine that only refreshes on Monday is not a rate engine. The features that stayed are the ones that were still doing their job when nobody was watching.
The 95% of loads that flow through cleanly are the easy part. The 5% where something is off — a mismatched invoice, a signature that doesn’t verify, a caller who won’t take the AI answer — is where operator trust is either earned or lost.
Thirteen years of continuous production is not a burden to hide. It’s the reason customers stayed. Every wave of freight-industry change has already run through this stack, and the platform is still here.
The T-TMS story is a rollout, not a launch. Below: the milestones we can attest to as a shape, with dates marked for client confirmation. What is not in doubt is that every year on this timeline had a live customer on the platform.
Years marked “confirm year” are plausible generic anchors and require client confirmation before use in production copy. The 2013 launch year and the 2026 TTMS Mailer ship are attested. Every year between them had a live customer on the platform.
Autonomous email negotiation agent built on top of T-TMS for Red Dog Logistics. Wrong-order guard, margin engine, 100-point carrier scoring.
The author-first AI writing surface built on radical transparency. Every AI edit logged, exportable as evidence.
A collaborative AI workspace for persona generation. Real-time editor, Ask AI sidebar, agent-context export.
T-TMS is a live, marketed, multi-tenant SaaS product. Six named freight brokers and asset-based carriers run their operations on it. If you’d like to see what it does with yours, request a demo — the team behind the platform is the team you’ll meet.