THE CHALLENGEOnce Goods Leave the Dock, Visibility Disappears
The moment a load leaves the dock, most shippers are flying blind until it shows up at the other end. Proof of delivery comes back as a paper slip that is reconciled days later, if at all. There is no live ETA to give a customer, so the call centre guesses, and detention at hubs goes unmeasured because nobody logs the gate times. The tracking data, the delivery evidence, and the systems of record live in separate places. The platform tracks the vehicle and the consignment as one, computes a live ETA the whole network can trust, and feeds the result straight into your TMS and ERP.
Built within the Telematics and GPS Tracking ecosystem, and frequently paired with Fleet Tracking and Monitoring.
WHAT'S INCLUDED
Vehicle and Consignment Visibility, End to End
Vehicle and Consignment Tracking
The vehicle is tracked and the consignment modeled as a first class object linked to the trip carrying it. A shipper can ask where a specific shipment is and its ETA, independent of which vehicle has it on that leg. The two views, fleet and shipment, run on the same data.
Live ETA
ETA is computed from live position, the planned route, current speed, per-leg historical travel times, and the remaining stop sequence. Every downstream stop refreshes as the vehicle moves, so a customer late in the run sees a number that tightens rather than a static promise.
Electronic Proof of Delivery
The driver app captures the delivery at the stop with a signature, a photo, a scanned consignment barcode, and the geotagged time and location. The ePOD record ties to the consignment and pushes to the platform and your TMS, closing the delivery with evidence instead of a paper slip.
Trip and Route Analytics
Reports cover trip duration against plan, route adherence, stop dwell, on-time delivery rate, hub detention, and idle and detour time. Daily, weekly, and monthly, exportable to PDF and CSV, so operations can see where time and cost leak out of the network.
Driver App
The driver app drives the run: the assigned trip and stop sequence, turn-by-turn to the next stop, ePOD capture, and exception reporting for a failed or partial delivery. It works through patchy coverage by buffering events and syncing when the link returns.
TMS and ERP Integration
REST APIs and webhooks are exposed, with the platform designed to integrate with ERP, dispatch, and logistics systems such as SAP and Oracle Transportation. Trips, positions, ETAs, and ePOD events flow into your system of record, and order data flows back, mapped to your fields rather than living on a separate screen.
ARCHITECTURE
How the Platform Moves Data
Telemetry from vehicles and the driver app is ingested over MQTT, a lightweight publish and subscribe protocol suited to large fleets on cellular links. The broker absorbs bursts and handles intermittent connectivity. The backend resolves trips and consignments, evaluates hub geofences, computes ETA, and writes to a time-series store, then pushes events on to your TMS and ERP.
MQTT Ingestion
Vehicle and consignment telemetry arrives over MQTT. The broker absorbs traffic bursts and tolerates intermittent links, so a truck that drops coverage and reconnects does not lose its trail. This is the layer that lets the platform scale across a national fleet.
Geofenced Hubs
Geofences are placed around hubs, depots, and delivery zones. Arrival and departure are detected automatically, which drives detention measurement, trip leg timing, and gate-in and gate-out events without the driver logging anything by hand.
System of Record Sync
Trips, ETAs, and ePOD events sync to your TMS and ERP over REST and webhooks. Designed to integrate with ERP, dispatch, and logistics systems such as SAP and Oracle Transportation, mapping to your message formats so the data lands where your planners already work.
INTEGRATION AND FIT
Designed to Sit Inside Your Stack
SAP and Oracle TMS
Designed to integrate with ERP, dispatch, and logistics systems such as SAP and Oracle Transportation. Trips, positions, ETAs, and ePOD events map into your existing transport workflow so planners and customer service work from one source of truth.
Open APIs and Webhooks
Everything the platform knows is reachable over REST and pushed over webhooks. For a custom order or dispatch system, events are wired to it rather than asking your team to watch a second dashboard.
Time-Series Foundation
Positions and trip events are stored in a time-series database so route history and analytics stay fast as volume grows. The model is built to process millions of pings a day without the reports slowing down.
FAQ
Common Questions
How is live ETA calculated across a multi-stop trip?
ETA is computed from the live vehicle position, the planned route, current speed, historical travel times on each leg, and the sequence of remaining stops. As the vehicle moves, the estimate for every downstream stop refreshes, so a consignee late in the run sees the number tighten as the truck closes in. The per-leg model is retuned from real trip data once the platform has been running.
How does electronic proof of delivery work?
The driver app captures the delivery at the stop: a signature, a photo, a scanned consignment barcode, and the geotagged time and location. That ePOD record is tied to the consignment and pushed back to the platform and to your TMS or ERP, so the delivery is closed with evidence rather than a paper slip that gets reconciled days later.
Can the platform track at the consignment level as well as the vehicle?
Yes. The consignment is modeled as a first class object linked to the trip and the vehicle carrying it. A consignment moves through states from picked up to in transit to delivered, and a shipper can query where a specific shipment is and its ETA, independent of which vehicle happens to be carrying it on that leg.
How does the platform integrate with your existing TMS or ERP?
REST APIs and webhooks are exposed, and the platform is designed to integrate with ERP, dispatch, and logistics systems such as SAP and Oracle Transportation. Trips, positions, ETAs, and ePOD events flow into your system of record, and trip or order data can flow back the other way, mapped to your fields and message formats rather than forcing a separate screen.
How does the device data get into the platform reliably at scale?
Vehicle and consignment telemetry is ingested over MQTT, a lightweight publish and subscribe protocol suited to large fleets on cellular links. The broker absorbs bursts and handles intermittent connectivity, and the backend writes positions to a time-series store so trip history and analytics stay fast as the fleet grows.
What do the trip and route analytics actually show?
Analytics cover trip duration against plan, route adherence, stop dwell times, on-time delivery rate, detention at hubs, and idle and detour time. The reports run daily, weekly, and monthly and export to PDF and CSV, so operations can see where time and cost leak out of the network and act on it.
How are hubs and depots handled?
Geofences are placed around hubs, depots, and delivery zones. Arrival and departure at a hub are detected automatically, which drives detention measurement, trip leg timing, and gate-in and gate-out events without the driver having to log anything by hand.
Ready to See Every Load End to End?
Share your network, your fleet size, and the TMS or ERP you run to get a tailored walkthrough of the ingestion layer, the ETA model, and how the ePOD and analytics land inside your stack.
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