AI Back-Office Automation for a Trucking Company

Key results

20+

Broker formats supported

100+

Loads processed to date

Pre-billing

Settlement issue detection

Invoice-ready

Data prepared after settlement review

logistics back office automation

Summary

A U.S. trucking company relied on one back-office workflow to keep loads, settlements, and invoices moving. Rate confirmations, settlement documents, and broker messages came in through different channels, then had to be checked, entered, reconciled, and prepared for billing by hand. As volume grew, that process started slowing the business down.
WiserBrand built an AI-powered workflow that turns incoming trucking documents into structured load and financial data. It captures files from email and chat, extracts the key details, updates load records, checks settlements against the original load records, and prepares data for invoicing.
Cooperation Period
Ongoing
Location
USA
Industry
Logistics
Service Provided
AI Automation
logistics back office

Business Challenge

Every load created paperwork that had to be read, entered, checked, and filed manually. Rate confirmations alone took 15 – 20 minutes each, while settlement reconciliation could take hours and push invoices days behind completed loads.


As broker formats multiplied, the process became harder to control without adding more back-office capacity.


The same load data often had to be checked across broker documents, driver settlements, and company settlement records. Underpaid loads, duplicate charges, missing details, or mismatched settlements could go unnoticed until billing or reconciliation.


The process also relied heavily on one person, making delays more likely when that person was unavailable.

What We Did

  • 1

    Workflow and document audit

    WiserBrand mapped how trucking documents entered the back office, how load data moved between tracking, settlement review, and billing, and where manual work created delay or financial risk.

    The goal was not just to extract data from PDFs. The system had to support the full path from document intake to accounting handoff.

  • 2

    Multi-channel intake and data extraction

    We built an intake flow for documents arriving through monitored inboxes, chat, and Telegram. The system reads text-based and scanned PDFs and extracts the fields needed to create a load record: broker, load number, route, dates, rates, contacts, and instructions.

    Missing, unclear, or conflicting information is flagged for review rather than automatically pushed downstream.

  • 3

    Live load tracking and financial visibility

    Extracted data feeds a live load tracker with status, delivery dates, rates, broker details, and weekly load grouping. The system also supports revenue-per-mile tracking and deadhead calculations, giving the team a clearer view of load-level performance.

    This replaced manual spreadsheet upkeep with a more consistent source of operational and financial data.

  • 4

    Settlement checks and invoicing handoff

    The system checks driver and company settlements against original load records using load identifiers. Rate mismatches, unexpected deductions, and missing details are surfaced before billing.

    After settlement review, verified load and financial data is prepared for invoicing, reducing the back-and-forth between operations and finance.

Project Results

The company moved from manual back-office tracking to a single workflow for document intake, load tracking, settlement checks, and invoice preparation.

100+ loads processed through the workflow
Broker documents and settlement information were turned into structured operational records during the early phase of an ongoing engagement.
20+ broker document formats handled
Every record passes human review and arrives with four enrichment layers in place, which means no one is doing weekly cleanup runs to fix half-completed rows or remove duplicates left behind by event imports.
Routine documents processed in under 30 seconds
Standard documents that used to take 15 to 20 minutes by hand now run in seconds.
Discrepancies surfaced before billing
Rate mismatches, unexpected deductions, and missing fields are flagged during settlement review instead of appearing later in billing.
Cleaner invoicing handoff
Verified load and settlement data is prepared for invoicing after settlement review, reducing manual coordination between operations and finance.