Project Overview
Savino Del Bene – South Africa dedicated 80% of its time to manual data capture tasks, processing 50K+ commercial invoices per year for 2K+ suppliers.
Integrating PaperEntry AI into its workflow resulted in remarkable time and cost reductions, with 11X faster commercial invoice processing speed, averaging 20,000 pages per month.
Results
$100K+
Projected Monthly Savings
11X
Faster Document Processing
User-Friendly Experience & Adoption
Fully-Integrated End-to-End
The Problem
Manual Data Entry
Processing
Expensive and
Wasteful
Lack of Trust in
Automation
Before integrating PaperEntry AI into its processes, Savino Del Bene S.A. relied on manual data entry, handling 50K commercial invoices per year for 2,000 suppliers with varying document formats.
The manual data entry process was slow, tedious, expensive and error-prone.
The company lacked trust in automation because of its experience with a competitor’s solution that had many OCR challenges with the inaccuracy of captured data.
Summary of the main project requirements for Savino Del Bene:
- Automated data entry processing
- Reduction in time and resources
- Accurate data entry automation
The Solution
Deep Cognition’s expertise in artificial intelligence and logistics empowered Savino Del Bene to automate its highly complex data entry.
Savino Del Bene S.A. chose PaperEntry AI after also evaluating Rossum, Vector.ai (Raft) and Amazon Textract.
The Implementation
Deep Cognition integrated PaperEntry AI into the client’s end-to-end process and demonstrated significant time and cost savings and high accuracy. This integration freed up 80% of brokers’ time to focus on the quality of the clearance process.
