Savino Del Bene – South Africa Case Study
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
Total savings from automation (during the first month of implementation):
$100K+
Projected Monthly Savings
11X
User-Friendly
Experience & Adoption
Fully-Integrated
End-to-End
The Problem
Manual Data Entry Processing
Expensive and Wasteful
Lack of Trust in Automation
CHALLENGES
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 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.
About Savino Del Bene
Savino Del Bene is a global logistics and supply chain management
company.
The firm provides worldwide services, with more than 4,300 employees,
172 branches, 113 subsidiary offices and strategic partnerships.
