Loss Run Extraction for Commercial Auto
Transform messy loss run PDFs into structured, reliable data for commercial auto underwriting. Extract claims history, loss amounts, and dates instantly — eliminating manual entry and accelerating underwriting decisions.
Stop Losing Time (and Quotes) to Manual Loss Run Entry
Commercial auto underwriting depends on fast, accurate visibility into a fleet’s claims history - but most submissions arrive as chaotic PDFs, tables, or scanned spreadsheets.
Inaza Central’s Loss Run Data Extraction module converts those documents into clean, structured data in seconds - so your underwriters spend time assessing risk, not retyping columns.
Eliminate rekeying errors and data clean-up delays
Extract vehicle- and claim-level data instantly from any format
Improve submission quality and quote turnaround
Deploy via drag-and-drop UI or API — no IT overhaul
How to Use Inaza Central
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Find Your Solution
Choose the Commercial Auto Loss Run Solution
Choose the Loss Run Data Extraction for Commercial Auto solution from the available list of APIs and get testing. Upload loss run documents directly into the Inaza Central user interface and get your results in seconds.
Submission Processing
Loss Runs
Win in Minutes
Deploy Into your Workflows
When you're ready to go live, Inaza Central provides fully documented, production-grade APIs for every solution. Whether you're automating invoice validation, underwriting data ingestion, or claims triage - everything is available in a format your developers can implement in hours, not weeks.
Underwriting Automation
FNOL & Fraud Automation
Key Capabilites
Turn Loss Runs Into Structured, Actionable Data in seconds
The Commercial Auto Loss Run module in Inaza Central converts messy, multi-format loss run files into a unified, structured dataset. It doesn’t just extract text - it calculates totals, identifies coverage gaps, validates claims, and exports standardized CSVs ready for underwriting systems.
Total loss & claims aggregation
Instantly calculates total incurred loss, claim counts, and policy coverage ranges from PDFs, spreadsheets, or scans - giving underwriters a complete snapshot in seconds.
Coverage gap detection
Identifies missing or overlapping coverage periods across policy years or vehicles. Flags gaps automatically and surfaces them in a clear, auditable dashboard view.
Standardized CSV export
Transforms all extracted data into a normalized CSV or JSON structure compatible with underwriting, pricing, or portfolio systems. Perfect for ingestion into Inaza pipelines or external platforms.
AI document parsing
Reads structured, semi-structured, and unstructured files - capturing policyholder details, claim histories, and financial fields with high precision.
Instant deployment
Access via UI or API. Upload a loss run file and view a complete structured breakdown - loss totals, coverage range, and claim summary in seconds.