AI Three-Way Invoice Automation
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Frontier is not the employer and does not collect applications.
About this role
Data Processing, Machine Learning (ML), Data Extraction, API, Data Analysis, Data Integration, Data Management, Data Annotation · I want to put the entire accounts-payable flow on autopilot with a machine-learning core. Bills arrive as scanned documents; from there the system must:
Deliverables • Accurately capture every header and line-item field from the scan, ready for export. • Run a true three-way match—quantity ordered vs. received vs. billed, price on PO vs. invoice, and SKU identity. • Apply tolerance-based rules so routine matches move straight to auto-approval. • Trigger landed-cost allocation and the corresponding GL postings the moment an invoice clears. • Route anything outside tolerance to an exception inbox that is already triaged into price variance, quantity variance, missing PO, suspected duplicate, or missing receipt.
Acceptance criteria Data-capture accuracy ≥ 95 %, three-way match latency < 3 seconds per invoice, zero false auto-approvals above tolerance, and an API or webhook that pushes cleared transactions back to our ERP.
If you have proven ML pipelines for document understanding, matching algorithms, and exception-handling workflows, let's talk.