Emerton Data — Pricing Strategy From Concurrence Open Data

Pricing Strategy From Concurrence Open Data

Leveraging Competitive Analysis from Open Data and ML Models for a National Insurer

Context & Objectives

The project objective consists of understanding a competitive pricing analysis of a national insurer on several relevant segments in order to optimize pricing and reduce adverse selection risks.

Outcome

The tool has become the reference to analyze competitive pricing and optimize pricing strategy accordingly.

Our approach

Step 1 - Audit

‍‍Generate numerous customer profiles and gather competitive data via web scrapping (GANs methods)

Step 2 - Reverse-Engineer

‍‍Reverse-engineer the pricing strategy of the competitors : from competitive pricing data and using interpretability technics of « black box » Machine Learning models, the tariff positioning is then understandable and integrated into the tool (use of the x-shap method)

Step 3 - Build

‍‍Build a visualization tool for business analysts

Our experts

Aimé Lachapelle

Managing Partner

Julie Caredda

Partner

Related Capabilities

Data-Driven Pricing

CapabilitY

Related Industries

OTHER CASE-STUDIES