Case study · From the Pluris libraryReceipt no. 0165
What sucked
The company processed thousands of receipts each week from field operations and vendors, with a 10 person offshore team keying required fields into the ERP.
Batch turnaround often lagged by days, delaying close and cash visibility. Manual entry introduced errors that needed downstream reconciliation, and costs scaled linearly with volume, so growth demanded more headcount.
What they built
Eliza built an automated receipt ingestion pipeline for a PE backed company, combining OCR and layout parsing with LLM extraction, confidence based QA, and schema aware validation, integrated into the existing ERP through SFTP and an API connector.
What changed
>90% lower cost
More than 90 percent reduction in per receipt processing cost versus the manual offshore team
Same-day
Multi day batch turnaround replaced by same day straight through processing
EBITDA lift
Immediate EBITDA lift and faster cash visibility through quicker vendor reconciliation
More fixes like this
- How a Federal Staffing Firm Cut Bid Pricing Error 42% With AITopsail · Healthcare & Life Sciences
- How Relay Found $100K a Month in Missed BillingSynopsis · Construction & Engineering
- How a Finance Team Cut Month-End Close 10 Days to 1QuantFi · Financial Services
- How Element5 Put Agentic AI Inside 21 of 30 Top ProvidersIdeas2IT Technologies · Healthcare & Life Sciences