Automating Underwriting in Insurance Using Python-Based Optical Character Recognition
About Automating Underwriting in Insurance Using Python-Based Optical Character Recognition
Industry: eCommerce
Business Type: Startup
Industry: eCommerce
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The Automating Underwriting in Insurance Using Python-Based Optical Character Recognition App
Alarming Challenges
Automating Underwriting in Insurance Using Python-Based Optical Character Recognition
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Our Process
1
Conceptualization
Competition Analysis
Customer Data Analysis
Customer Data Analysis
2
Design
User Journey Mapping
App Design Improvement
App Design Improvement
3
Development
Android App Development
iOS App Development
iOS App Development
4
Deployment
App Store & Play Store Deployment
Post-Deployment Support
Post-Deployment Support
Our Project Challenges
1
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The traditional method of underwriting is tedious as it involves manual verification of various documents & proofs.The assessment has to be carried cautiously by the professional as it is vital to safeguard the company’s risk.Such a process result in large verification cycle and possess room for errors resulting in churn of customers.
2
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The client’s prerequisite was to develop an OCR model to scan these documents,transcribe them & render a digitized copy.The client was looking for an experienced partner to be their AI Solution Partner who can craft tailored solutions for insurance industry.
Contrary to popular belief
Tools and
Technologies Used
For IndexingAlgolia SDK
Business Type: Startup
For AnalyticsFirebase
CI/CDApp Center
The Results
1+ millioniOS App Downloads
1+ millionAndroid App Downloads