Dispatchers manually building driver routes each morning because there's no optimisation tool that knows your constraints?
Customers calling the office to track their delivery because you have no tracking link to send them?
Last-Mile Delivery Software
Custom last-mile delivery software for local delivery operators, delivery-as-a-service companies, and retailers with their own fleets -- route optimisation, driver apps, dispatch visibility, and customer tracking built for your operation.
Designed for operators who are done manually assigning routes each morning and answering "where is my delivery?" calls all afternoon. Route optimisation, proof of delivery capture, and automated customer notifications in one platform.
Multi-stop route optimisation with time windows, vehicle capacity, and driver availability
Driver mobile app with turn-by-turn navigation, proof of delivery photos and signature
Customer notifications with live ETA and tracking link sent automatically at dispatch
Delivery performance analytics by driver, zone, and time window
RaftLabs builds custom last-mile delivery software covering multi-stop route optimisation with time windows and vehicle capacity, driver mobile apps with proof of delivery capture, dispatch dashboards, customer SMS and email notifications with live tracking links, failed delivery management, and delivery performance analytics. Most last-mile delivery platforms ship in 10-14 weeks at a fixed cost.
100+Products shipped
·24+Industries served
·FixedCost delivery
·12-14Week delivery cycles
Manual route planning and no customer tracking are solvable problems
In most small and mid-size delivery operations, the dispatcher starts the morning by looking at the order list, drawing routes in their head, and assigning stops to drivers based on experience. It works until a driver calls in sick, a large order is added at the last minute, or the operation grows past the point where one person can hold the whole route map in their head.
The customer experience problem is separate but related. Without a tracking link, every customer who is waiting for a delivery becomes an inbound call. Your delivery team spends time on the phone answering "when will it arrive?" instead of on the road delivering.
Last-mile delivery software automates what your dispatcher does manually and gives your customers the tracking link that stops the calls. Route optimisation calculates the most efficient sequence of stops given time windows, vehicle capacity, and driver availability. The driver app guides each driver and captures proof of delivery. The customer gets an SMS when the driver is on the way.
What we build
Route optimisation
Multi-stop route optimisation that calculates the most efficient delivery sequence for each driver, accounting for customer time windows, vehicle load capacity, driver start and end locations, and service time per stop. Dynamic re-optimisation when stops are added or cancelled mid-route without requiring a full rebuild. Zone-based routing for operations that assign drivers to geographic territories. Vehicle type matching for stops requiring specific vehicle capabilities -- refrigeration, tail-lift, or size constraints. The morning routing task your dispatcher currently does in 90 minutes, done in two.
Driver mobile app
Driver app for iOS and Android with the assigned route loaded at start of shift. Stop-by-stop navigation with turn-by-turn directions and customer delivery notes displayed before each stop. Proof of delivery capture: signature on screen, photo of delivered goods, and GPS location stamp at time of delivery. Failed delivery recording with reason code and photo evidence. Customer contact capability so drivers can call or message the recipient directly from the app without leaving the delivery workflow. App works with degraded connectivity and syncs delivery confirmations when signal returns.
Dispatch dashboard
Real-time dispatch view showing every active driver, their current location, completed stops, and remaining route. ETA to each upcoming stop calculated from current position and traffic conditions. Exception alerts when a driver is running more than a set threshold behind schedule. Stop status updates as drivers complete deliveries -- confirmed, failed, or re-attempted. Manual dispatcher intervention to reassign stops between drivers or add unplanned stops mid-route. The visibility that lets one dispatcher manage twenty drivers without calling each one to ask where they are.
Customer notification system
Automated SMS and email notifications sent at configured trigger points: order confirmed, driver assigned, driver en route to this stop, delivered or delivery attempted. Notifications include a live tracking link showing the driver's position on a map and an estimated arrival time that updates as the route progresses. Branded notifications matching your company identity -- not generic messages that look like they came from a platform. Customer response capability so recipients can respond to the message if they need to leave delivery instructions. The communication that cuts your inbound "where is my delivery?" calls.
Failed delivery and re-attempt management
Failed delivery workflow that captures the reason -- not home, address incorrect, refused, damaged on arrival -- and the driver's photo evidence. Automatic notification to the customer on failed delivery with a link to schedule a re-attempt or redirect to a collection point. Re-attempt scheduling that queues the stop for the next available route without manual dispatcher action. Escalation for deliveries that have failed multiple times. Returns initiation for refused or damaged goods. Failed delivery rate reporting by driver, zone, and time window to identify patterns that need addressing.
Delivery performance analytics
Performance reporting across your full delivery operation: on-time delivery rate by driver, zone, time window, and customer. Average stops per hour, kilometres per stop, and delivery cost per stop. Failed delivery rate and re-attempt rate by driver and reason code. Customer satisfaction data where you collect delivery ratings. Period-on-period comparison so you can see whether changes to routing or staffing are improving performance. The data your operations manager needs to have an informed conversation about driver performance and route efficiency -- not a gut feel based on today's complaints.
Frequently asked questions
Route optimisation takes your full list of stops for the day and calculates the sequence and driver assignment that completes all deliveries on time at the lowest total distance or time. Time windows are treated as hard or soft constraints depending on your configuration -- hard windows mean a stop cannot be visited outside that window even if it increases route cost; soft windows incur a penalty score when breached, allowing the optimiser to breach them if the alternative is worse overall. Vehicle capacity constraints prevent the optimiser from overloading a vehicle by weight or volume. Driver start and end locations, shift length limits, and break requirements are all factored in. The optimiser runs in seconds for typical route sizes (20--150 stops per driver), allowing re-optimisation when plans change mid-morning.
The driver app captures proof of delivery appropriate to your operation. Standard options include: recipient signature drawn on screen, photo of delivered goods at the delivery location, GPS coordinates and timestamp at delivery confirmation, and recipient name entry. For unattended deliveries, the app captures a photo of the goods at the delivery point -- door, mailbox, or safe place -- with GPS and timestamp. Failed deliveries capture the driver's photo evidence and reason code. All proof of delivery data is stored against the delivery record and accessible from the dispatch dashboard and customer portal. The format can be configured per client or per delivery type for 3PL operations serving multiple clients.
Yes. Last-mile delivery software typically receives delivery orders from an upstream system -- an OMS, an e-commerce platform like Shopify, a WMS, or a custom order system. We build the integration to import orders automatically at the point they're ready for delivery assignment, and to push delivery confirmations and tracking status back to the order management system in real time. Integration approach depends on what API your order management system exposes. We scope integrations during discovery and include the integration in the fixed project cost so there are no surprises when we get to that phase of development.
A last-mile delivery platform with route optimisation, a driver mobile app, dispatch dashboard, and customer SMS notifications typically runs $30,000--$70,000. A more complete platform with re-attempt management, returns initiation, client portals for 3PL operations, and full performance analytics typically runs $70,000--$140,000. Cost depends on the complexity of the routing constraints, the number of integrations with order management systems, and whether white-label customer notifications are required. We scope every project before pricing it and give you a fixed cost before development starts.
AI for Logistics -- predictive ETAs, demand forecasting, and route optimisation with ML models
Talk to us about your last-mile delivery project.
Tell us your fleet size, your delivery volume, and what your dispatchers currently do manually. We'll scope the right platform and give you a fixed cost.
