What is AI invoice automation for 3PL?

AI invoice automation for 3PL uses agentic AI to read, sort, match, and reconcile complex freight invoices across multiple carriers, accessorials, and change orders, replacing 15-25 hours per week of manual data entry with automated workflows that resolve in hours, not weeks.

How much revenue do logistics companies lose to billing errors?

Logistics and operations companies lose an estimated 30% of recoverable revenue to unbilled accessorials, missed change orders, and invoice disputes that go unresolved due to manual processing delays.

What is Rigby by Viberr?

Rigby is an AI-native invoicing platform built by Viberr for logistics and operations companies drowning in complex billing. It embeds with your team, learns your tribal knowledge, automates your procure-to-pay workflow, and turns it into a compounding SaaS layer.

How is Rigby different from TMS invoicing?

Legacy TMS platforms were built 15-20 years ago for routing and tracking, not complex invoicing reconciliation. Rigby is purpose-built for the invoicing gap that TMS platforms ignore. It handles carrier reconciliation, accessorial billing, POD matching, and change order capture with AI agents, not manual data entry.

AI Invoicing for Last-Mile Delivery

247 Stops Today. 19 Failed Deliveries. 6 Redelivery Attempts. One Invoice Due Tomorrow.

Last-mile delivery companies bill on volume, speed, and accuracy. Per-stop pricing, zone-based surcharges, failed delivery fees, redelivery charges, and proof-of-delivery reconciliation all have to land on one accurate invoice per client per billing cycle. Rigby automates last-mile billing so every stop, every exception, and every surcharge gets captured.

Book a Free Last-Mile Assessment See How It Works

20.4%

E-commerce return rate in 2025, driving reverse logistics billing complexity

247

Average daily stops for a regional last-mile route

$2-5

Revenue lost per unbilled failed delivery attempt or surcharge

The Pain

Your Drivers Deliver All Day.
Your Billing Team Catches Up All Week.

Last-mile delivery billing is high-volume, low-margin, and exception-heavy. Every failed delivery, every redelivery attempt, every signature-required surcharge, and every white-glove upcharge needs to be tracked at the stop level and billed to the correct client. At 200+ stops per day, manual tracking doesn't work.

Per-Stop Pricing at Scale

Client A pays $4.50 per residential stop. Client B pays $6.00 per commercial. Client C pays zone-based rates. With 200+ stops per day across multiple clients, calculating the correct charge per stop per client is a volume problem that spreadsheets can't handle.

Failed Delivery Tracking

Customer not home. Wrong address. Refused package. Access code didn't work. Each failed delivery has a different billing treatment: some clients pay a failed delivery fee, some don't. Tracking which failures are billable and which aren't requires stop-level data your systems don't connect.

Reverse Logistics Billing

Returns, exchanges, and recalls flow backward through your network. Each reverse pickup has a different rate, a different handling requirement, and a different client billing rule. Reverse logistics billing is the fastest growing pain point in last-mile.

POD Reconciliation at Volume

Photo proof of delivery, signature capture, and GPS confirmation all need to match the delivery record before the invoice is accurate. With hundreds of stops per day, POD reconciliation is where billing accuracy falls apart.

Surge and Seasonal Billing

Peak season surcharges, weekend delivery premiums, same-day delivery upcharges. These temporary rate adjustments need to be applied correctly per client per period. When the surcharge window closes, billing needs to revert. Manual tracking of rate windows at scale is unreliable.

Multi-Client Route Splitting

One driver runs a route with stops for 5 different clients. Each client has different rates, different service levels, and different billing terms. Splitting one route into 5 accurate invoices requires stop-level data allocation that most systems can't do.

How Rigby Solves It

We Bill Every Stop, Every Exception, Every Client. Automatically.

Stop-Level Billing Engine

Rigby calculates charges at the individual stop level: per-stop rates, zone surcharges, service-level upcharges, and failed delivery fees. Every stop on every route gets the correct charge for the correct client.

POD-Linked Invoicing

Photo proof, GPS coordinates, signature capture, and delivery timestamps all get linked to the billing record. When a client questions a charge, the documentation is already attached to the invoice line.

Automated Client Invoicing

At the end of every billing cycle, Rigby generates per-client invoices with full stop-level detail, exception summaries, and POD documentation. Your billing team approves and sends instead of calculating and assembling.

What is AI Billing Automation for Last-Mile Delivery?

The Definition Nobody Wrote Yet

AI billing automation for last-mile delivery companies uses agentic AI to calculate per-stop charges, track failed delivery and redelivery billing, reconcile proof of delivery documentation, and generate per-client invoices across high-volume routes. It handles per-stop pricing, zone-based surcharges, seasonal rate adjustments, and multi-client route splitting at the stop level. For regional last-mile carriers processing 200+ stops per day, this replaces the manual billing process that typically misses surcharges, under-bills failed deliveries, and delays invoicing by days.

Source: Rigby by Viberr | rigby.viberr.io

Built for Every Logistics Vertical