Insurance Quote Intelligence
Insurance Quote Intelligence
Sector
Insurance – Motor / Personal Lines
Sector
Insurance – Motor / Personal Lines
Engagement Type
Data Extraction + AI Analytics Engine
Engagement Type
Data Extraction + AI Analytics Engine
Scope
Pricing intelligence across 10+ aggregators and 15+ insurers
Scope
Pricing intelligence across 10+ aggregators and 15+ insurers
Geography
India
Geography
India
Project overview
Project overview
Insurance Quote Intelligence & Pricing Analytics for Motor Insurer
Insurance Quote Intelligence & Pricing Analytics for Motor Insurer
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.
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 Approach
Built privacy-compliant scraping pipelines with captcha-resistant browser automation.
Normalized pricing across make/model/variant/year/add-ons/region/NCB to a canonical JSON schema.
Created price-positioning dashboards with comparison insights, premium variance, and product-fit recommendations.
Applied NLP-based feature extraction on policy wordings to benchmark coverage differences.
Impact Delivered
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.
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.
