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Logistics / 3PL
Customers get told about delays before they email to ask
Telematics, carrier APIs, and traffic feeds score every in-transit shipment for on-time risk. Customers are warned proactively. POD documents auto-capture, validate, and reach the customer in minutes, not hours.
Client
UK third-party logistics operator
Build time
8 weeks to production
Headline outcome
POD ops without a back-office team
The problem
A 3PL running 200-500 daily shipments has two chronic sinks. First: proof of delivery, drivers photograph POD docs, they sit on a phone, ops chases, customer chases, invoices delay. Second: delay management, nobody tells the customer until the customer calls angry, so every delay becomes a service incident instead of a managed expectation.
The system
Two pipelines. POD: driver photograph → OCR → structured capture (consignment, signature, timestamp, exceptions) → validation → customer portal + email within 20 minutes. Delay: telematics + carrier API + traffic data feed a risk model per leg, and shipments with >30 minute projected delay trigger a proactive customer notification with a revised ETA.
How it runs
The workflow, end to end.
01
POD capture + OCR
Driver photographs POD on the depot app. OCR extracts consignment number, signature presence, timestamp, and any exception notes.
02
POD validation
Extracted data reconciles against the shipment record. Mismatches (wrong consignment, missing signature) route to ops for review; clean PODs post to the customer portal automatically.
03
In-transit risk scoring
Telematics position + carrier status + live traffic data score each active leg. Legs with >30min projected delay are flagged.
04
Proactive delay alerts
At-risk legs trigger a customer email + portal update with a revised ETA and reason (traffic, earlier stop delay). Customer doesn't chase; ops doesn't firefight.
05
Invoicing trigger
Validated POD triggers the invoicing workflow automatically, compressing order-to-cash by 2-3 days.
Outcomes
What it moves.
4h → 20min
POD turnaround
100% of at-risk legs
Proactive delay alerts
-2.5 days
Order-to-cash cycle
-55%
Customer complaint tickets
Stack
What it's built on.
- Samsara / Geotab telematics APIs
- Google Vision OCR
- HERE Traffic API
- Claude (exception classification)
- Postgres + AWS S3
Logistics3PLOperations
Running 100+ shipments/day? Let's scope the POD pipeline first.
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