FleetSpeed helps teams control dispatch, rider assignment, stacking, cancellations, and SLA performance from one platform — with AI activated gradually when ready.
FleetSpeed unifies dispatch intelligence, rider operations, and client configuration behind one configurable rules engine — with AI automation you turn on only when you're ready.
A configurable weighted rules engine plus a progressive AI dispatch agent — automate as much or as little as your operation is ready for.
Order flow, route sequencing, proof of delivery, and earnings — built to reduce friction for every rider on shift.
Multi-client configuration, a REST API, and webhooks let you onboard and isolate clients without engineering work per account.
As order volume grows, the gaps in traditional dispatch operations compound — affecting cost, SLA, and customer experience at the worst possible time: peak hours.
As volume grows, manual dispatch becomes slower and less accurate across riders, zones, and SLA priorities.
Teams need to see why each dispatch decision was made and adjust rules when conditions change.
One-tap cancels send orders back to the queue, delaying customers and restarting the assignment process.
Naive stacking causes late deliveries; no stacking at all wastes rider capacity and drives up cost per order.
Riders cluster in familiar zones while other areas go underserved, leaving demand unmet during peaks.
On most platforms, every new operating rule means a development request instead of a configuration change.
FleetSpeed brings dispatch intelligence, rider operations, and client configuration together — organized into four core pillars.
Weighted scoring, smart stacking, and a progressive AI agent handle assignment while staying fully overridable.
Outcome: faster, more consistent dispatch decisions.
Order flow, route sequencing, proof of delivery, and real-time earnings in one rider app.
Outcome: fewer mistakes, higher rider retention.
Pre-approval workflows, geofenced proof of delivery, and role-based access keep operations accountable.
Outcome: fewer disputes, stronger SLA compliance.
Connect order systems, POS, and downstream tools through a documented REST API and webhook events.
Outcome: faster client and system onboarding.
Three differentiators set FleetSpeed apart from fixed-rule tools and black-box automation.
Outcomes clients can expect as dispatch moves from manual to configured, AI-assisted automation.
Smarter rider utilization and controlled stacking reduce cost per delivery.
Orders are prioritized before they become late, instead of reacting after SLA breaches occur.
Automating repeatable assignment decisions lets one dispatcher manage more concurrent orders.
Reusable configuration and APIs let new client operations launch and adapt faster.
A focused pilot shows what changes before you commit to a full rollout.
A simple flow from order to delivery — backed by a two-layer decision engine your team can see and adjust, with status pushed to dashboards and webhooks in real time.
Live ETA & distance on every leg
Optimized store-to-door routingA fully configurable scoring system. Each rule toggles ON/OFF independently and its weight is adjustable per client — via sliders that take effect immediately, with no restart and no engineering changes. The engine runs every dispatch cycle even with AI off.
Sits on top of the rules engine in three progressive modes. It can be activated or deactivated without touching the rules — adding intelligence and autonomy only when the client is ready. It learns from dispatcher corrections and completed-order outcomes to refine future scoring; the weighted rules and safety limits you configure never change automatically. Priority hierarchy: AI Autonomous › AI Assist + Rules › Rules Engine Only › Manual Override. At every level, a human can intervene.
Observe & learn. Suggests assignments, takes no action, and learns from every dispatcher correction.
Smart suggestions. Auto-assigns high-confidence orders; edge cases still go to the dispatcher.
Full control. Handles all assignments using the weighted rules; exceptions auto-escalate.
The rider's primary tool for managing the workday — status, real-time orders, earnings, breaks, and guidance — designed to reduce friction and keep riders focused on deliveries.
Push with restaurant, item count, distance & estimated payout. Rider accepts or the system auto-assigns.
In-app navigation with ETA; rider taps "Arrived at Store."
Checklist of items confirmed before "Picked Up" — links to missing-items prevention.
For stacked orders, the app sets the optimal pickup/delivery sequence with SLA countdowns.
Photo, signature, or PIN (per client). Geofence validates the rider is at the right location.
Back to Online; the demand-zone map suggests where to position next for surge bonuses.
Clear payout and distance shown up front so riders decide quickly and get moving.
Stacked orders get an optimal pickup/delivery order with live SLA countdowns.
Riders see today's earnings and progress toward bonus thresholds in real time.
Item-verification checklists and geofenced proof of delivery catch errors before they happen.
FleetSpeed's capabilities are grouped into six areas that together cover end-to-end delivery operations.
Live order/rider/zone control plus the SHADOW/ASSIST/AUTONOMOUS AI agent, with dispatcher override at every level.
Double/triple dispatch with safety limits, plus a pre-approval gate for rider cancellation requests.
Order flow, guidance, and earnings for riders, with PER_ORDER, GUARANTEE, and HYBRID payout models.
Photo, PIN, or signature proof within a configurable geofence — resolves disputes with evidence.
Per-client and per-store isolation of rules, rider pools, and billing on one platform.
Live KPI dashboards plus a REST API and webhooks for order systems, POS, and reporting tools.
FleetSpeed integrates with client systems through API and webhook-based communication, with a sandbox environment for safe testing before going live.
Create, update, or cancel orders; assign riders; track location; receive status; retrieve delivery proof; manage stores, zones, and clients.
Direct connection with restaurant POS systems — order confirmation triggers automatic dispatch with no human intervention.
Order created, rider assigned, arrived at store, picked up, arrived at customer, delivered, cancelled, reassigned, proof uploaded.
The client's technical team integrates directly using FleetSpeed API documentation and sandbox credentials.
FleetSpeed provides technical support, testing support, and sample API flows to help the client complete integration.
FleetSpeed manages the full integration process on the client's behalf, under a separate scope and timeline.
Have an integration question? Talk to an integration specialist.
FleetSpeed is designed with operational security and data-protection controls connected directly to the delivery workflow.
Orders, riders, billing, and configuration kept separate per client, with separate credentials for each environment.
Restricted customer-information visibility based on delivery stage, with dispatcher action tracking throughout.
Calls routed through a temporary proxy number; in-app messaging; channel auto-expires once delivery is confirmed.
Delivery only completes within the configured geofence, with photo, signature, or PIN proof per configuration.
Complete route recorded for delivery dispute review and "not received" claims.
Dispatcher approval gate for rider cancellation requests, with configurable visibility of customer details.
FleetSpeed is built for last-mile operators across food, restaurants, retail, and 3PL.
FleetSpeed offers flexible pricing models designed around each client's business model, operational scale, order volume, selected modules, integration needs, and support level.
Fixed monthly fee based on selected modules and number of users.
Usage-based pricing tied to the number of completed deliveries.
Monthly pricing based on active rider count.
For high-volume clients, dedicated environments, advanced integrations, or 24/7 support requirements.
Charged separately for custom API, POS, or ordering-system integration.
FleetSpeed is built by a team that combines product design, technical execution, and hands-on delivery operations. We design around real market needs, not only software requirements.
We connect platform design, engineering, and day-to-day delivery operations in one working model.
Practical operations experience helps identify cost, dispatch, rider, and customer-experience improvements.
We discuss each client's business model, order volume, rider structure, pain points, and growth stage before recommending a setup.
We continue developing features around client needs and market changes — including AI-assisted dispatching.
Walk through your current dispatch model with our team, identify the highest-impact opportunities, and define a focused pilot before full rollout.