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.

Download Case Study

Download Case Study

Download Case Study