Stop supplier overcharges
Between ABC Supply, Beacon, SRS, and hundreds of regional distributors, invoices come in daily by email, PDF, and paper. Nobody has time to verify line-by-line against the PO — so 2–5% of invoices contain overcharges, duplicates, or missing credits that flow straight through to AP and out the door.
1–3% of annual supplier spend — for a $10M contractor on $4M of material, that's $40K–$120K a year.
Why it happens
AP staff process by invoice count, not by verification depth — no time to check every line
POs live in one system, invoices in another, deliveries on paper — reconciliation is manual
Supplier pricing changes mid-project and quietly hits the next invoice
Credits from returned or damaged materials go unclaimed
How Hibe solves it
Hibe's Suppliers Agent ingests every invoice via email, PDF, or paper, matches it line-by-line to the PO and the job it belongs to, and flags anything that doesn't reconcile before the payment goes out.
Which agents do the work
Invoice Verification
Catch every supplier overcharge before you pay it.
Hibe's Suppliers Agent matches every incoming invoice against the original purchase order, the job it was tied to, and the price you were quoted — flagging overcharges, duplicates, and missing credits automatically.
Supplier Management
Every dollar you spend on materials, tracked to the job.
The Suppliers Agent doesn't just verify invoices — it becomes your source of truth for material costs, price trends, and supplier performance across every job you run.
Industries most affected
How to put stop supplier overcharges into operation
Hibe's Suppliers Agent ingests every invoice via email, PDF, or paper, matches it line-by-line to the PO and the job it belongs to, and flags anything that doesn't reconcile before the payment goes out. The rollout should isolate where the loss or delay enters the process, establish a baseline, and prove the control on a manageable set of jobs before it becomes the default workflow.
The right rollout is deliberately narrow at first. It proves that the data, ownership, and economics work for your team before the workflow expands. Use the six steps below as a practical review with the people who own the process and the people who approve its financial result.
Step 1
Document the current baseline
Write down how the work happens today before changing it: who starts it, which system holds the source record, where approvals happen, and how an exception reaches the right person. For home improvement owners, operators, and controllers, the useful baseline includes time spent, error frequency, dollars delayed or lost, and the number of handoffs. Without that baseline, a smoother demo can look successful even when the underlying operating result has not changed.
Step 2
Start with trustworthy source data
Identify the records that must agree before stop supplier overcharges can be automated. Typical inputs on this page include AP staff process by invoice count, not by verification depth — no time to check every line, POs live in one system, invoices in another, deliveries on paper — reconciliation is manual, Supplier pricing changes mid-project and quietly hits the next invoice, Credits from returned or damaged materials go unclaimed. Assign an owner to each source and decide what happens when a required field is missing. Hibe should make incomplete data visible; it should not silently invent an answer. This step keeps automation auditable and gives finance, sales, and operations the same definition of a clean record.
Step 3
Run a controlled first workflow
Choose one team, branch, or repeatable workflow and run it in parallel with the current process for a short validation period. Review every exception and compare the result with the existing method. A focused rollout lets the team tune approval thresholds, ownership, and notifications without creating organization-wide disruption. Expand only after the people responsible for the result trust what they see and know how to correct an exception.
Step 4
Design the exception path
Automation is most useful when routine work disappears and unusual work becomes obvious. Define which cases can proceed automatically, which need a manager, and which must stop for finance or executive review. Give every exception an owner and a due time. For home improvement owners, operators, and controllers, that means fewer status meetings and fewer spreadsheet audits because the queue itself shows what needs judgment, what is waiting, and what has already cleared.
Step 5
Measure operating outcomes
Track business results, not login counts. Relevant signals include 1–3% of annual supplier spend — for a $10M contractor on $4M of material, that's $40K–$120K a year., How much can I really recover?, Does this require changing my suppliers?, How fast until I see recoveries?. Review them against the baseline at 30, 60, and 90 days, and separate one-time cleanup gains from recurring improvement. If a metric does not move, inspect the workflow before adding more automation. The goal of stop supplier overcharges is a durable operating change that the team can explain in dollars, hours, speed, or fewer disputes.
Step 6
Expand without losing control
Once the first workflow is stable, reuse its data definitions, approval rules, and reporting cadence for the next team. Keep a named owner for each integration and review access whenever roles change. A measured expansion protects the early gains while giving leadership a consistent view across branches. It also makes future improvements faster because the company is building on one operating model instead of creating another disconnected process.
Questions about this
How much can I really recover?
Typical customer recoveries land between 1–3% of annual supplier spend in year one. That number goes down over time as suppliers learn you catch mistakes — which is the point.
Does this require changing my suppliers?
No. Hibe works with any supplier that sends invoices by email, PDF, or paper.
How fast until I see recoveries?
Most contractors flag their first overcharge in week one. First full month typically recovers between 0.5% and 1.5% of spend depending on how tight your baseline was.
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