Logistics · Delivery and fleet
Delivery management software development for dispatch, drivers and fleets
We build delivery and fleet management software: dispatch consoles, route optimisation, driver apps with proof of delivery that work offline, customer tracking links, and integrations with telematics platforms such as Samsara and Geotab. We measure success in failed deliveries and calls to the dispatcher.
Short answer
Delivery management software plans routes, dispatches jobs to drivers, captures proof of delivery and tells customers where their parcel is. Fleet management software adds vehicles, telematics, maintenance and compliance. Innovation Insight builds both: an MVP with dispatch, routing, a driver app and tracking links costs $15k to $45k, and a full platform with telematics, optimisation and analytics costs $50k to $150k+. We have no published logistics case study yet; our adjacent work is in GPS device fleets and offline-first apps.
Reviewed by Zain Khalid Malik, CTO & Co-founder · Updated
Delivery management and fleet management: what each covers
The two terms overlap but solve different problems. Delivery management software is about jobs: orders in, routes planned, drivers dispatched, proof captured, customers informed. Fleet management software development is about assets: vehicles, their location and health, drivers' hours and maintenance. A courier or last-mile operator needs the first; a company running its own trucks needs both. We scope them as modules on one data model so the second can be added without a rebuild.
| Module | Delivery management | Fleet management |
|---|---|---|
| Orders and jobs | Import from e-commerce, ERP or API; time windows, service time, capacity per job | Not central |
| Planning | Route optimisation across drivers, vehicles, windows and capacities | Vehicle assignment and availability |
| Dispatch | Assign, re-assign and re-sequence jobs live; exceptions queue | Vehicle and driver pairing, shift handover |
| Driver app | Route, navigation hand-off, scan, proof of delivery, failed delivery reasons, offline mode | Vehicle checks, defects, fuel and expense capture |
| Tracking | Customer tracking link with live ETA and notifications | Live positions and history for every vehicle |
| Telematics | Optional: position from vehicle devices instead of phones | Core: GPS, engine data, driver behaviour, ELD data from Samsara, Geotab or similar |
| Maintenance and compliance | Not central | Service schedules, inspections, documents, hours of service |
| Analytics | On-time rate, failed deliveries, stops per hour, cost per drop | Utilisation, idle time, fuel, maintenance cost per vehicle |
Features by user type
| User | Must have at launch | Later |
|---|---|---|
| Dispatcher | Map of drivers and jobs, drag-and-drop re-assignment, exceptions queue for late or failed jobs, chat with drivers | Automatic re-optimisation during the day, capacity forecasting |
| Driver | Today's route, one-tap navigation in Google Maps or Waze, barcode scan, photo and signature proof, failed delivery reasons, works without signal | Earnings view for contractors, in-app training |
| Customer | Tracking link by SMS or email with live ETA, delivery instructions, rescheduling, rating | Live chat, delivery slot selection at checkout |
| Operations manager | Daily performance dashboard, proof of delivery search for disputes, driver and vehicle records | Cost per drop by zone, carrier comparison |
| Admin | Users and roles, depots and zones, integrations, audit log | Multi-company or white-label setup |
Route optimisation: buy the solver, own the rules
Route optimisation is a vehicle routing problem with constraints: time windows, vehicle capacities, driver shifts and breaks, depot opening hours, service time per stop. Nobody should write that solver from scratch. The choice is which one to call, and the engineering is in feeding it clean data and handling what happens when the day goes off-plan.
| Option | What it is | Fits when | Trade-off |
|---|---|---|---|
| Google Route Optimization API | A managed Google Maps Platform API that assigns shipments to vehicles and sequences them against time windows, load limits and costs | You want managed infrastructure and Google's traffic-aware travel times | Per-request pricing; your data goes to Google; less control over the solver |
| Google OR-Tools | An open-source optimisation library with a vehicle routing solver you run on your own servers | High volume, custom constraints, or a need to keep data in-house | You supply the travel-time matrix and run and tune the solver yourself |
| Mapbox Optimization API | Mapbox's routing optimisation; version 2 is in public beta and handles up to 1,000 locations per routing problem | You already use Mapbox maps and navigation | Beta status for v2; check limits against your largest day |
| Off-the-shelf routing SaaS | A complete planning product with its own driver app | Standard last-mile with no unusual rules | Little room to differentiate; integration rather than ownership |
Whichever solver runs underneath, we wrap it in a planning service you own: it builds the problem from your orders and drivers, stores each plan with its inputs, and lets dispatchers lock jobs before re-optimising. That way the solver can be swapped without touching the apps. Figures for limits and features above were checked against each vendor's documentation in October 2026.
The driver app: proof of delivery and offline mode
Drivers lose signal in basements, loading docks and rural roads, and an app that stops working there gets abandoned for paper. We build the driver app offline-first in React Native or Flutter: the day's route and jobs are stored on the device, every action (scan, photo, signature, status change) is written to a local queue with a timestamp and GPS fix, and the queue syncs when connectivity returns, with conflict rules for jobs a dispatcher changed in the meantime.
- Proof of delivery: photo of the parcel at the door, signature or PIN, barcode scan, GPS position and time, compressed on the device and uploaded in the background.
- Failed delivery: a required reason from a fixed list, a photo, and an automatic customer notification with a rebooking link.
- Battery and data: location sampled more often while driving and less while parked, so a ten-hour shift does not drain the phone.
- Navigation: hand-off to Google Maps or Waze rather than a built-in turn-by-turn engine, unless the vehicles need truck-specific routing.
Tracking links and notifications
Most "where is my order" calls disappear when the customer gets a tracking link with a live ETA. The link is a lightweight web page, not an app download, showing the driver's approximate position only once the customer is the next few stops away, the ETA recalculated from live position, and options to leave instructions or reschedule. Notifications go out by SMS or email at dispatch, when the driver is close, on delivery with the proof photo, and on failure. Each message is idempotent, so a retry never sends the customer three texts.
Telematics and ELD rules
When vehicles carry telematics devices, the device is a better position source than the driver's phone. Samsara and Geotab both publish developer APIs for vehicle locations, engine data, driver assignments and hours of service, and we integrate them through webhooks or polling into the same position stream the dispatch console reads. For US fleets running commercial motor vehicles, the FMCSA hours-of-service rules at 49 CFR 395.8 require carriers to have drivers record duty status with an electronic logging device, with exceptions including drivers who need records on no more than 8 days in any 30-day period, certain driveaway-towaway operations and vehicles manufactured before model year 2000. We do not build ELDs, which must be registered devices; we read hours-of-service data from the certified provider's API so dispatch never assigns a job a driver cannot legally finish. Last-mile vans below the commercial vehicle thresholds are usually outside these rules; your compliance team confirms which apply.
Mistakes we see in delivery software
| Mistake | Effect | Our approach |
|---|---|---|
| Optimising routes on straight-line distance | Plans that look efficient and run late every afternoon | Road travel times from the routing provider, with time-of-day traffic where the solver supports it |
| No exceptions queue | Dispatchers find late and failed jobs from customer calls | A live queue of jobs at risk, sorted by how late they will be |
| Driver app that needs signal for every action | Lost proofs of delivery and drivers back on paper | Offline-first local queue with background sync |
| Proof of delivery stored without metadata | Disputes that cannot be settled | Photo, GPS, time, driver and job stored together and searchable |
| Tracking links that show the driver all day | Privacy complaints from drivers and confusion for customers | Position shown only when the customer is a few stops away |
| Hard-coded rules per client or depot | Every new customer is a code change | Time windows, service times, zones and notification rules held in configuration |
What delivery management software costs
| Build | Price | Timeline | Includes |
|---|---|---|---|
| Delivery management MVP | $15k to $45k | 3 to 5 months | Order import, route optimisation through a managed API, dispatch console, offline driver app with proof of delivery, tracking links, admin |
| Full delivery and fleet platform | $50k to $150k+ | 6 to 12 months | Several depots, live re-optimisation, telematics integration, maintenance and compliance records, analytics, customer and partner APIs |
| On-demand dispatch app (Uber-style reference) | $46k to $85k | 12 to 22 weeks | Real-time matching of jobs to nearby drivers, live tracking, payments and payouts, ratings, admin |
The on-demand row comes from our app development cost calculator using the Uber preset, which is the closest match for courier and on-demand dispatch; switch features off to see a scheduled-delivery scope. The fleet management software development cost and cost to build an app like Uber posts break the figures down. Map, routing, SMS and telematics API fees are paid to those providers and grow with volume, so we model them in discovery.
How a delivery software project runs
- Discovery ($3k to $8k): ride along with drivers for a day, map the order sources, constraints and exceptions, and choose the solver and telematics integrations.
- Planning and dispatch: order import, the planning service around the chosen solver, and a dispatch console, tested on a copy of real order data.
- Driver app: offline-first route, scanning and proof of delivery, piloted with a few drivers on real routes before the full fleet.
- Customer tracking and notifications, then telematics and fleet modules if they are in scope.
- Rollout by depot or zone, with the old process available until on-time and failed-delivery figures are at least as good.
Our relevant work
We have no published logistics case study yet. These projects contain the hardest parts of delivery and fleet software:
- US security services company: a device fleet provisioned through AWS IoT with certificate rotation and SIM management, live dashboards showing in-progress patrols, GPS positions on a map and the latest frame from each camera. Tracking a fleet of field devices and the people carrying them is the same problem as tracking vans and drivers.
- LogFish: React Native apps on iOS and Android with offline-first GPS logging on Mapbox that syncs automatically when connectivity returns. That is the offline driver app pattern.
- Seek My Service: a request engine that matches jobs to vendors by zip code area and category, with SMS, email and in-app notifications through Twilio and SendGrid that respect each user's preferences. Zone-based assignment and customer notifications work the same way.
If your product is on-demand rather than scheduled, see ride-sharing app development, on-demand app development and food delivery app development. For the broader sector, see logistics and supply chain, and for connecting carriers, marketplaces and ERPs, our API development and integration service.
Sources and further reading
Next step
Tell us what you're building and get a written estimate.
A senior engineer replies within one business day. NDA on request.
Products we've shipped, and what happened next.
Case studies written from the technical documentation of each project: the stack, the scale and the outcome.
Questions we get asked a lot.
How much does delivery management software cost?
An MVP with order import, route optimisation, dispatch, an offline driver app with proof of delivery and tracking links costs $15k to $45k. A full delivery and fleet platform with telematics, live re-optimisation and analytics costs $50k to $150k+. An on-demand dispatch app like Uber estimates at $46k to $85k.
Should we build route optimisation ourselves?
Not the solver. Call Google's Route Optimization API, run Google OR-Tools on your own servers, or use Mapbox Optimization, and own the planning service around it: problem building, stored plans, locked jobs and re-optimisation rules.
Does the driver app work without mobile signal?
Yes. The route and jobs are stored on the device, every scan, photo and signature is queued locally with time and GPS, and the queue syncs when signal returns, with conflict rules for jobs changed by dispatch meanwhile.
Can you integrate with Samsara or Geotab?
Yes. Both publish developer APIs for vehicle locations, engine data and hours of service. We read them into the same position stream as the driver apps so dispatch sees one map.
Do you build ELD software?
No. ELDs are registered devices from certified providers. We integrate their hours-of-service data so dispatch never assigns a job a driver cannot legally finish under the FMCSA rules.
Have you built logistics software before?
We have no published logistics case study yet. Our closest published work is an AWS IoT device fleet with live GPS positions on a map for a US security company, and offline-first GPS logging in the LogFish apps.