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Client Context
Insurance Quote Intelligence & Pricing Analytics for Motor Insurer
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Sector:
Insurance – Motor / Personal Lines
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Geography:
India
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Engagement Type:
Data Extraction + AI Analytics Engine
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Scope:
Pricing intelligence across 10+ aggregators and 15+ insurers
Challenges
Challenges
- Pricing teams lacked consolidated visibility across competitor quotes.</li
- Cloudflare and CAPTCHA protections blocked automation attempts.
- Manual data collection consumed weeks and introduced inconsistencies.
- Key pricing attributes such as IDV, add-ons, NCB, region, and model/variant were not tracked systematically for competitive benchmarking.
Our Apporach
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Built privacy-compliant scraping pipelines with captcha-resistant browser automation.
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Normalized pricing across make/model/variant/year/add-ons/region/NCB to a canonical JSON schema.
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Created price-positioning dashboards with comparison insights, premium variance, and product-fit recommendations.
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Applied NLP-based feature extraction on policy wordings to benchmark coverage differences.
Impact Delivered
- Enabled weekly refreshed competitor dashboards, replacing 200+ hours per month of manual effort.
- Identified price arbitrage opportunities of 11–18% in high-volume vehicle segments.
- Improved conversion rates by 23% through optimized add-on bundling and discount sequencing.
- Established a repeatable pricing intelligence engine to support new product launches.</li
30+ years of Industry experience in delivering pioneering data and QA solutions.
