Case Studies/Invoice Data Automation

Multi-Warehouse Cost Intelligence

Invoice Data Automation

Modular Python pipeline extracting invoice data from 5 international warehouses—handling complex PDFs with multi-page tables and Excel files with non-standard layouts—directly into Snowflake.

01

The Problem

Finance teams spent 60+ hours monthly manually copying line items from warehouse invoices—each warehouse using a different format. Duplicate entries and missed charges were constant, and nobody trusted the numbers at month-end.

02

Our Approach

Built dedicated extraction modules for each warehouse format. Used Camelot with PyMuPDF preprocessing and OpenCV enhancement for PDF tables across page breaks. Intelligent sheet mapping and header detection for Excel sources.

Built withPythonCamelotPyMuPDFOpenCVSnowflakeDocker
03

How It Works

04

Results

60+ hours

saved monthly

100%

data accuracy vs ~15% error rate

Same-day

financial visibility

5 warehouses

consolidated

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