PO-to-shipment matching
How teams connect purchase orders to load numbers, shipment references, containers, and milestone data.
SupplyBridge helps import and logistics teams connect ERP exports, PO reports, container reports, and milestone feeds into cleaner exception visibility.
Built for teams using load numbers, pro numbers, shipment references, or booking numbers to connect records across systems.
Inputs
Outputs
Built For
SupplyBridge is being built for teams that already have shipment data, but still have to manually connect records across exports, spreadsheets, reports, and email updates before they can see what needs attention.
If your team uses shared identifiers like load number, pro number, shipment reference, or booking number, SupplyBridge is being built around that workflow.
The Problem
When shipment data lives across exports, spreadsheets, reports, and email updates, analysts and coordinators spend hours manually reconciling records before they can see what needs attention. The work is repetitive, easy to miss, and hard to scale.
POs, containers, milestones, and updates are spread across different reports and systems.
Teams spend valuable time reconciling shipment data instead of focusing on exceptions.
Missing links, delayed milestones, and mismatched records can hide until someone manually checks.
The Solution
The first version of SupplyBridge is a human-reviewed AI workflow that helps connect shipment records, flag exceptions, and summarize what needs attention.
Match shipment data using identifiers like load numbers, pro numbers, shipment references, or booking numbers.
Surface missing links, mismatched records, delayed milestones, and items that need review.
Turn disconnected updates into a clear weekly summary for operators and stakeholders.
The Transformation
SupplyBridge is designed to help logistics teams move from manual reconciliation to reviewing the exceptions that actually need attention.
Analysts and coordinators pull exports, open trackers, check shipment reports, compare milestones, search email updates, and manually connect records before they can explain what changed.
SupplyBridge helps connect records through shipment identifiers like load number, pro number, shipment reference, or booking number, then surfaces the records that need review.
The goal is to give logistics teams time back. Instead of spending hours chasing updates, operators can focus on decisions, follow-up, and preventing issues from becoming bigger problems.
SupplyBridge is not trying to replace logistics teams. It is being built to reduce the repetitive reporting work that keeps analysts and coordinators stuck in spreadsheets.
Request a PilotWhat This Saves
The biggest cost is not just the spreadsheet. It is the time spent checking the same reports, matching the same records, validating shipment status, and explaining the same updates every week.
The first measurable goal is simple: reduce repetitive reporting work and help logistics teams catch exceptions earlier.
Workflow Use Cases
SupplyBridge will document practical logistics reporting workflows that import teams can use to understand where manual work breaks down, what can be automated, and where AI can help.
The goal is not to publish theory. The goal is to document real workflow use cases around shipment reporting, exception visibility, PO-to-shipment matching, milestone tracking, and operational follow-up.
How teams connect purchase orders to load numbers, shipment references, containers, and milestone data.
How logistics teams can move from manual reconciliation to reviewing structured exceptions.
How raw milestone feeds can be translated into operational statuses that teams can actually use.
Why ERP data alone does not always show what is happening in the real shipment workflow.
Request a pilot conversation and share the reporting process your team is trying to improve.
Pilot Program
We are looking for a small number of import and logistics teams willing to share how they currently manage shipment reporting. Early pilots can start with redacted samples, anonymized datasets, or limited exports.
Daniel Johnson
Founder and operator behind SupplyBridge
Connect with Daniel on LinkedInBuilt by an operator
SupplyBridge is being built by Daniel Johnson, a logistics operator who has worked through the same reporting problems this service is designed to solve.
In logistics work, the hard part is not just having data. The hard part is connecting the right records across the systems people already use. Purchase orders may live in one report. Shipment updates may live somewhere else. Container status may come from another source. Milestones may arrive through a feed, email, or carrier file. Then someone on the team has to manually connect it all before anyone can see what needs attention.
That manual reconciliation is the problem SupplyBridge is being built around.
The first goal is simple: help logistics analysts, coordinators, and import teams save time by turning scattered shipment data into clearer exception reports. The long-term goal is to build a repeatable AI-assisted workflow that helps teams catch issues earlier, communicate updates faster, and spend less time stuck in repetitive reporting work.
Built from hands-on experience with shipment reporting, PO reporting, milestone tracking, and exception follow-up.
AI helps structure, match, and summarize the work, but the workflow stays practical and reviewed by an operator.
The journey will document what is being tested, what works, and what logistics teams actually need.
Request a Pilot
Short form. We follow up personally if there is a strong fit.
Not ready for a pilot yet? .