Free PDF
The Dead Mileage Reduction Playbook
A 9-page playbook for taxi fleet operators looking to cut dead mileage 20-30% in 90 days. AI proximity dispatch, driver coaching scripts, KPI dashboards. Free PDF.
20–30%
Dead-mile cut targeted
90 days
From baseline to result
9 pages
Free PDF, no fluff
7+
Verticals researched
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The Dead Mileage Reduction Playbook
9 pages · PDF
What's inside
Practical — not a sales pitch
No vendor spin. The playbook is a working operations document: a 90-day plan drawn from real fleet data, with the numbers, scripts and dashboards you actually need to attack empty miles.
Step-by-step playbook
Concrete actions, in order. Read it, do it, see results. The playbook walks you from the day you decide to attack empty miles through to a measurable drop on the board — a 90-day plan broken into weekly moves, each with an owner so nothing stalls.
- Week 1: baseline your dead-mileage ratio from real trip history
- Weeks 2–6: turn on proximity dispatch and tighten the rules
- Weeks 7–12: coach the long-tail drivers and lock the gains in
Real numbers
Drawn from operational research across 7+ verticals — traditional taxi fleets, limo and chauffeur, airport transfer, corporate shuttle, school transport and more. Industry baselines are included so you can sanity-check your own dead-mileage ratio against what fleets like yours actually run.
- Typical empty-mile share before and after proximity dispatch
- What every empty kilometre costs in fuel, time and lost trips
- Benchmarks by fleet size: under 25, 25–250 and 250+ vehicles
No fluff
Written by ex-operators who have squeezed empty miles out of real fleets. No filler chapters, no “thought leadership” — 9 pages you can hand to a dispatch lead and act on the same week. It is a working document, not a brochure.
- Driver coaching scripts you can read out almost verbatim
- Vendor-neutral tactics that apply whatever you dispatch on
- A KPI dashboard layout to copy so the gains stay visible
Inside the playbook
Three levers, in the order that works
The PDF condenses the whole 90-day plan onto 9 pages. Here is what each of the three workstreams covers, so you know exactly what you're getting before you download.
1 · AI proximity dispatch
The single biggest source of empty miles in a traditional fleet is how jobs get assigned. When a controller picks a driver by hand, or a queue simply hands the next car the next job, vehicles drive across town to pickups that a nearer car could have reached in a fraction of the distance. Proximity dispatch flips that: the system scores every available driver by live distance and ETA to the pickup and assigns the best one automatically.
On TaxiDex the auto-dispatch rules engine makes that decision in one pass — weighing distance and ETA while still respecting the zone the job sits in, the vehicle type the booking needs, and the driver’s shift. Pre-assignment lets you stack a driver’s next job before they finish the current one, so cars flow from fare to fare instead of deadheading back to base. AI demand forecasting nudges idle cars toward where the next jobs will actually appear, cutting the empty miles spent cruising for work. The drag-and-drop dispatch board stays on hand for the exceptions automation shouldn’t touch, so a controller is steering, not assigning.
On the live map
See the nearest car, not the next in line
The playbook’s first lever comes to life on the live operations map. Every driver shows as a marker with a status halo, so you can see at a glance who is free, who is on a job, and who is closest to the next pickup — the empty-mile decision made visual.
When the auto-dispatch rules engine assigns the nearest viable car, you watch it happen here. A built-in SOS panic panel keeps safety in the same view, and because the map and the dispatch board share one source of truth, the rare manual override never fights the automation that is doing the heavy lifting.
Inside the playbook
The human lever: coaching, not nagging
2 · Driver coaching scripts
Software assigns the nearest car, but drivers still choose where to sit between jobs. A handful of drivers — the long tail — usually carry a disproportionate share of the fleet’s empty miles, drifting home to wait instead of repositioning toward demand. The playbook gives you short, non-confrontational coaching scripts to shift that habit, with the actual words to use so the conversation lands as help, not a telling-off.
The trick is to show each driver their own numbers, not a fleet-wide average, and to tie better positioning directly to what they care about: more trips and higher take-home pay. Wired through TaxiDex, that is straightforward — job-earning and booking reports surface each driver’s empty-mile share and utilisation, instant broadcasts push a quick reposition nudge to specific drivers by push and SMS, and a re-check a fortnight later shows whether the coaching stuck. It is a lever you pull once and revisit, not a fight you have every shift.
Inside the playbook
Make the gains visible — and keep them
3 · KPI dashboards
Efficiency gains drift back the moment nobody is watching. The third lever is a KPI dashboard you keep on a screen everyone sees, so dead mileage stays a number the whole team owns. The playbook gives you a layout to copy — the handful of metrics that actually move the needle, and how to read them together rather than in isolation.
In TaxiDex those numbers come straight from the analytics suite: booking, customer and job-earning reports feed dead-mileage ratio, utilisation, time-to-assign and jobs per driver per hour, all trended week over week. Scheduled reports land in your inbox automatically, so the review happens whether or not someone remembers to pull it. And because per-trip CO2e tracking sits in the same place, the efficiency story doubles as a sustainability one — fewer empty miles is fewer emissions, evidenced for the next corporate or council tender.
Reporting built in
The dashboard layout, already in the console
The KPI layout the playbook recommends isn’t a spreadsheet you maintain by hand — it is the reporting that ships with the console. Booking, customer, job-earning and call-history reports give you the raw signal; scheduled reports turn it into a habit by landing in your inbox on a cadence you set.
That means the moment you start pulling the proximity-dispatch and coaching levers from the playbook, you can already see the dead-mileage ratio and utilisation responding — no separate BI project, no waiting on a quarterly export. The gains are visible the same week you make them.
What pulls these levers
The platform behind the playbook
The playbook is vendor-neutral, but the empty-mile levers are far easier to pull on a platform built for them. TaxiDex is a multi-tenant cloud console with white-label passenger and driver apps — live in 14 days with 24/7 human support.
Before you download
Questions operators ask first
The questions that come up most about measuring and cutting empty miles — and what proximity dispatch really means.
Is The Dead Mileage Reduction Playbook really free?
Yes. It is a free 9-page PDF. Drop your name and work email and we send it instantly — no spam and no auto-enrollment in a marketing sequence. It is a practical operations document for fleet operators, not a sales funnel.
What is dead mileage, and why does it matter?
Dead mileage is every kilometre a vehicle drives empty — no fare on board. That is driving to a pickup, cruising between jobs, and deadheading home at the end of a shift. It burns fuel, ages the vehicle and ties up a driver who could be earning, so it quietly erodes margin on every car. The playbook shows you how to measure it first, then cut it.
Can I really cut dead mileage 20–30% in 90 days?
For most fleets still assigning jobs by queue or by radio, yes — the biggest single lever is proximity dispatch, which assigns the nearest available car rather than the next in line. Layer on pre-assigning return jobs, coaching the long-tail drivers, and watching a KPI dashboard, and a 20–30% reduction over a quarter is a realistic target. The exact figure depends on your starting baseline, which is why week one of the plan is measurement.
Does the playbook only work if I use TaxiDex?
No. The measurement, dispatch and coaching tactics are vendor-neutral and apply whatever system you run. That said, the empty-mile lever is far easier to pull on a platform with a real proximity-dispatch rules engine, a live operations map and reporting built in — which is exactly what TaxiDex provides, live in 14 days with 24/7 human support.
What does 'AI proximity dispatch' actually mean?
Instead of a controller picking a driver by hand or a queue assigning the next car, the auto-dispatch rules engine scores every available driver by live distance and ETA to the pickup, while respecting zones, vehicle type and shift, and assigns the best one automatically. TaxiDex pairs this with AI demand forecasting so cars are nudged toward where the next jobs will appear — reducing the empty miles spent searching for work.
How do I keep the savings from drifting back?
Make them visible. The playbook includes a KPI dashboard layout — dead-mileage ratio, utilisation, time-to-assign and jobs per driver per hour — so the gains stay on a screen everyone watches. In TaxiDex those metrics come from the booking, job-earning and call-history reports, with scheduled reports that land in your inbox automatically so nobody has to remember to pull them.
Got the playbook? See proximity dispatch run live.
A 30-minute walkthrough on the actual console — your zones, your fares, and exactly how auto-dispatch cuts empty miles for a fleet your size.