Vehicles in the wrong spot? Myles has the answer.
Myles is the AI Agent for shared micromobility – scooters, bikes, e-bikes, all in one place.
Every micromobility operator deals with the same three problems.
Vehicles in the wrong place at the wrong time
Free-floating fleets drift toward low-demand zones. Station-based fleets run out where it counts. You rebalance reactively – after the demand has already been missed. The revenue was there. Your vehicles weren’t.
Battery logistics that never run clean
EVs add a layer of operational complexity that combustion fleets don’t have. Which vehicles need a swap now. Which can wait. Who’s closest. What’s the most efficient routing. Managing this manually doesn’t scale – and the errors show up directly in your utilization numbers.
Strategic decisions made on incomplete data
New city. New zone. Fleet resize. Electrification. Every expansion decision is made with spreadsheets and market research that can’t account for how your specific fleet will actually behave in that specific environment. You commit the budget. Then you find out.
Ask anything about your fleet. Get an answer in seconds.
Ask, and Myles answers. Where should these vehicles go this afternoon? Is this station about to run dry? What happened to utilization last week? No setup, no integration required. Myles is pre-trained and ready from day one. You keep control of every decision.
Four jobs. One teammate.
Plain language.
Analytics
Ask how your fleet is doing and get the read: utilization per vehicle and per zone, idle and dead scooters, trips and revenue per vehicle per day, coverage gaps, and which zones underperform and why. Myles reads your fleet data, fuses it with city context, and answers with the chart.
You get back:
- Written answer
- Chart or table
- Exportable performance report
Available in Myles Pro and Enterprise
Forecasting
See demand before it lands: by zone and by hour, the weather and event spikes, where and when the next rides start, and how fast your batteries will drain. Confidence bands show how sure each call is, and imbalance alerts flag where supply and demand will split before it happens.
You get back:
- Demand chart with confidence bands
- Zone-level forecast by hour
- Forecast artifact saved in workspace
Pro: Pre-trained model | Enterprise: Tailored model
Operations
Myles tells you what to rebalance and where, which vehicles to move first, and which batteries to swap now. It builds your morning deployment, hands your field team their task list, and flags dead vehicles for recovery, all updated for live conditions.
You get back:
- Rebalancing plan
- Ground team assignment
- Live routing updated
Pro: Guidance and plan | Enterprise: App Mobile + Autonomous planning and dispatching
Planning
Test the big moves before you commit a single vehicle: new zones and permit areas, fleet sizing, deployment maps, pricing and geofence what-ifs, and city-tender scenarios. Myles runs each one and shows the outcome, options side by side when you compare.
You get back:
- Scenario report
- Side-by-side comparison
- Shareable artifact
Pro: Plan with historical data and patterns | Enterprise: Plan with Advanced Simulations
Generic AI knows what a scooter is. Myles knows how scooter fleets behave in Milan on a rainy Tuesday.
Myles Enterprise trains on your fleet and city: GBFS feeds, IoT and fleet systems, demand signals. That is the difference between a generic answer and one that fits how your riders actually move.
2026 WINTER GAMES — MILAN
When the 2026 Winter Olympics came to Milan, shared micromobility operators faced a forecasting problem unlike anything in normal operations — unpredictable demand spikes, restricted red zones, massive event-driven traffic shifts across the city. SWITCH generated a complete AI-driven predictive analysis: where demand would peak, when, and which zones would go offline due to security perimeters — before the games began.
Works with the systems you already run.
Works with the systems you already run. Myles Enterprise connects to your fleet, telematics and booking platforms through secure APIs. No rip and replace.
Start free.
Scale when you’re ready.
PRO
$29/mo
The full agent, self-serve. Daily intelligence and scheduled actions, on your data.
- All four jobs + Autonomy
- Unlimited questions and vehicles
- 50+ cities and 25 Airports
- Top up credits anytime
ENTERPRISE
Custom
The complete platform, configured to your operation and run with a dedicated team.
- Full integrations
- Custom models
- Optimisation & simulation
- Full 3,800+ cities + API
- White-glove onboarding · SSO · SLA
Frequently Asked Questions
Myles is SWITCH’s AI for mobility and logistics. It does four jobs for a fleet: analytics, forecasting, operations and planning. Myles Pro answers your questions on demand, self-serve. Myles Enterprise runs those jobs continuously on models trained on your own fleet and city.
Pro is a decision assistant: you ask, it answers, you decide. It is pre-trained, needs no integration and is self-serve. Enterprise is an autonomous orchestrator: it monitors, forecasts, simulates and acts on live data, on custom models retrained on your operation. You start on Pro and graduate to Enterprise inside the same product.
It forecasts demand by area and hour, then recommends where to place vehicles and which swaps to prioritize. In Enterprise, it acts on those forecasts in real time, keeping vehicles where riders are and downtime low.
Myles builds local rules into its forecasts and moves, steering vehicles away from restricted zones and toward legal parking, so you stay on the right side of the city.
Yes. In Planning, Myles simulates expected demand for a new area and returns a deployment plan: fleet size, parking areas, maintenance cadence. As you grow, Enterprise keeps the models fresh so the service scales with real ridership.
