How Foodpanda Uses Staple AI to Automate Multi-Format Invoice Processing and Reduce Errors

By: GoBeyond Team
July 27, 2025
3 min read
Staple AI invoice processing dashboard showing data capture and matching

Quick Overview

Foodpanda implemented Staple AI’s automation solution to capture invoice data from various formats and languages, performing three-way matching against purchase orders and goods received notes. The system integrated with warehouse management, reduced errors, and eliminated the need for additional hires despite growth.

Foodpanda
Foodpanda
Company Size
Large multinational
Revenue Range
Not publicly disclosed
Primary Challenge
Scaling invoice processing while maintaining accuracy and integration
Key Metrics

- Scalable invoice processing
- Reduced errors
- No additional hires needed

The Problem

Increasing invoice volume and format diversity strained manual processing

The Solution

AI-driven data capture, multi-language support, and three-way matching integrated with warehouse systems

Results

- Maintained accuracy at scale
- Improved operational efficiency
- Controlled staffing costs

Details

Industry
Manufacturing
Departments
Finance & Accounting
Use Cases
Invoicing & Billing
Tags
GenAI
NLP
Scalability
Team Efficiency
Time-Saving
AI Tools Used
No items found.
Sources
https://www.staple.ai/blog/case-studies-success-stories-in-ap-automation

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