Ground transport is a sequence: a request, a quote, a confirmation, a car, a driver who accepts, a passenger who wants an ETA, a payment, and a vehicle that is still legal tomorrow. We automate slices of that sequence. We will not sell you a single bot that pretends to do all of it.
Booking ≠ dispatch ≠ fleet · Human on money and safety · No invented case studies
30 minutes · Senior engineer · No commitment
Pick the slice that is actually leaking. Do not buy a 'transportation AI platform' that is a chatbot with a steering-wheel icon.
Request → rate card → confirm as an unassigned trip. See the booking page.
Status, in-policy changes, receipts, lost-and-found. See the support page.
Voice path with driver vs passenger routing. See the phone page.
Offer, accept, status, passenger notify. See the dispatch page.
Readiness blocks, documents, corporate packs. See the fleet page.
If the rate card, board, or transfer target does not exist, we will say so and point at the real first project.
If your office does not recognise this loop, we should not automate it yet.
Every solution page in this cluster is a slice of this loop. If a vendor skips a box, the failure shows up two boxes later.
The money is in the message that arrived while the office was closed — not in a prettier website.
Passenger has a WhatsApp 'see you at 5'. Dispatch has nothing. That is how double-books and empty ramps happen.
New booking, where's-my-car, and a driver with a no-show all hit the same line. One script cannot serve them.
Two drivers grab one airport. The other job sits. The passenger is already at arrivals.
Coordinators repeat ETAs that GPS already knows, then miss the next booking.
Insurance, PHV, inspection, airport permit — if the register is a folder of photos, booking will sell what you cannot run.
150+ products shipped · Engineer-led delivery · QA sign-off on production AI.
We map the operating process before choosing a model, vendor, or chatbot skin.
CRM, helpdesk, telephony, and ops write-back — not a widget that dumps transcripts into email.
We will say when AI automation does not make sense and recommend software, QA, or process work instead.
Laravel, React, n8n, and LLM systems from one accountable squad — including post-launch tuning.
One slice first. Dates after we have seen channels and APIs — not a generic 4-week promise for the whole loop.
We fit the tools you already run. This is not a required shopping list.
The system of record is the booking/dispatch tool. Models draft and classify. WhatsApp, Telegram, and PSTN are channels. GPS is a status feed. Payments stay in the processor.
Names, pickup addresses, flight numbers, and corporate account codes are operational PII. We scope what is indexed, logged, and allowed into a prompt — home addresses and card data do not belong in model context.
Live GPS is for dispatch and customer ETAs, not for an LLM to narrate. Location writes stay in the telematics or dispatch system; the AI reads a status, not a raw trail.
Card capture, deposits, and no-show fees stay in the payment processor. An agent can explain a charge or send a payment link. It does not store PAN or CVV.
WhatsApp, Telegram, and phone bots use dedicated numbers and least-privilege API keys. Staff vs passenger vs corporate booker see different tools.
Structured answers for search engines and AI assistants — definition, fit, cost, timeline, and comparisons.
Structured answers for founders, CTOs, and procurement — written for clarity in search and AI assistants.
Transportation AI from GreeLogix is production automation for limo, taxi, and chauffeur operators, scoped to a slice of the trip loop: intake and quotes, post-booking support, the dispatch phone line, driver assignment, or fleet readiness. It writes to systems of record and keeps humans on fares, live reroutes, refunds, and vehicle blocks.
Typical timeline: One slice (intake or status) is typically a few weeks after access. Voice, dispatch offers, and fleet blocks are additional milestones. Dates after we have seen the board — not before.
Pricing depends on scope, integrations, and timeline. GreeLogix provides fixed-milestone quotes after a discovery call — typical engagements range from $1,500 for focused audits to $75,000+ for full product builds, with monthly retainers from $3,500.
One slice (intake or status) is typically a few weeks after access. Voice, dispatch offers, and fleet blocks are additional milestones. Dates after we have seen the board — not before. Phases: Discovery (About a week); Pilot slice (Typically a few weeks after access); Production (Depends on write-back and channels); Next slice (Only after the first holds).
Compared to alternatives — Vertical dispatch / TMS vendor: choose when You need a full CAD board and are willing to move operations onto that product; Answering service: choose when You only need messages taken, not write-back; Generic chatbot SaaS: choose when You have no trip record and only want a website widget (we would still warn you); Hire a night coordinator: choose when Volume is low and a person is cheaper than integrations. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
This hub is for ground transport operators: limousine and chauffeur companies, taxi and private hire, airport transfer specialists, and corporate ground accounts. The unit of work is a trip with a pickup, a time, a vehicle class, a passenger or booker, and a car that must be legal to run.
It is not freight TMS, last-mile parcels, or consumer ride-hail marketplace software. Those have different objects (loads, pods, surge). If that is your business, say so on the call — this cluster will be the wrong template.
Automate lookups, structured capture, rate-card application, notifications, and eligibility lists. Keep humans on rate exceptions, live reroutes, refunds, driver problems at the curb, VIP, and taking a vehicle off the road.
You have (or will fund) a system of record for trips. Volume is high enough that after-hours or peak-status traffic is a real cost. You can name an owner for rates, policies, and the board after launch.
Every job is a one-off negotiation. There is no trip record. There is nobody to receive a transferred driver call. You want a model to invent fares or ETAs. You need a full marketplace. In those cases we will recommend operations design, a dispatch product, or staffing — not an LLM.
We integrate with the tools you already run when they have an API or a workable export. We do not require you to rip out a reservation product on day one. If there is no API, the first slice may be a human queue plus structured capture — we will say that before we sell write-back.
We start with one slice (usually airport-transfer intake or 'where's my car'), in staging, on real historical requests. Adding voice, auto-dispatch, or fleet blocks is a later milestone because the failure modes are different.
A narrow slice is often a few weeks after access is granted. A loop that includes booking write-back, driver offers, and GPS notifications is longer. We set dates after discovery, not from a blog graphic.
Price moves with channels (WhatsApp, Telegram, PSTN), whether we must write into an existing booking/dispatch product, GPS vendor access, payment links, and how many policies we encode. Voice minutes and WhatsApp are third-party fees. We quote fixed milestones after we have seen the board. This page does not list a fake '$X–$Y transportation AI' number.
GreeLogix has not published a limo, taxi, or chauffeur case study on this site. We will not invent a client, a trip volume, a revenue lift, or a testimonial for this cluster.
If you need a reference, ask on the strategy call. We will only share what we are allowed to share. When a transportation case study is published, it will appear here and in /case-studies — not as a borrowed EdTech story.
Answers to the buyer questions we hear most before a project starts.
Channels, rate card, board, GPS, documents, on-call. Name the leak.
Booking, support, phone, dispatch, or fleet — not all five in one go-live.
Historical requests, declines, stale GPS, expired docs. Failure paths first.
Write-back, monitoring, transcripts, a named owner for rules after launch.
Tell us where jobs enter, how they are confirmed, and who is on the phone at 22:00. We will recommend one slice — or a no-go.
From chatbots and voice agents to workflow automation — pick the capability that matches your roadmap.
Use our free calculators and planners — then book a strategy call when you are ready for a senior engineer review.
Case studies, guides, and free tools from the same engineering team.
Slice the loop. Test the failure. Keep a human on money and safety.
Pickup, time, class, booker, vehicle, driver, status. If it is not a field, the model will hallucinate it.
After-hours intake, status line, shared phone, group-chat assign, or illegal cars.
Rate card, change windows, eligibility, document types. Missing rule → human queue.
Read and write the system you already trust, or say when it cannot hold a trip.
Driver decline, two trips on one phone, expired insurance, airport noise.
Tangible artifacts your engineering and product teams can act on — not vague pass/fail notes.
Capability pages, outcome pages, and published industry clusters — same commercial architecture.
Browse the full cluster from Industry AI Solutions.
Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.
You'll talk to Abuzer — the senior engineer who'll scope your build
Founder & Senior Engineer · Response within 4 business hours
Book a Free 30-Min CallResponse within 4 business hours · No commitment on first call