An Industry First Hindsighting Solution for comprehensive validation and re-verification of customer and merchant applications
Ensure risk-free onboarding with retrospective audit of customer applications
Easily scale customer lending and insurance application Verifications to ~ 15 Million customer Applications/Month
Auto-Extract relevant Customer details via OCR Tech that supports around 100 + Document types and Formats
Achieve 99% Accurate
Verifications with AI- powered automation with zero Human interventions
Seamlessly download all applications from the Centralized repository via integrations
Digital Document Identification of all Application documents via OCR Technology
Auto data extraction and data matching takes place on customer documents as per defined logics
Holistic Report with Match percentage and identity data of each field are generated
All the Applications are segmented based on report severity( Red/Green/Amber)
Helping you save huge operations cost and be compliant across multiple use cases
Verify Applications Sourced from Channel Partners
Validate Documents of Onboarded Merchants
Validate Policy Documents post Disbursement
Check authenticity of legacy documents; Perform Audit
All things Background verification, Due Diligence , candidate experience and more.
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Digital hindsighting refers to the retrospective analysis of digital data, records, or activities to gain insights and understand past events or behaviours.
Digital hindsighting is important because it allows organizations to learn from past experiences, identify trends and patterns, improve decision-making, optimize performance, and enhance risk management.
Digital hindsighting can involve the analysis of various types of digital data, including transaction logs, customer interactions, website traffic, social media posts, sensor data, and more.
Digital hindsighting focuses on analysing historical data to understand past events or behaviours, whereas real-time analytics involves analysing data as it is generated to gain insights into current or unfolding events.
Common applications include learning from past mistakes, identifying trends and patterns, improving decision-making, optimizing performance, and enhancing risk management.
The benefits of implementing digital hindsighting include improved decision-making, better understanding of past events and behaviours, enhanced performance.
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