‍Step 1 – Identify and collect

• Identify and collect all data: internal data, customer data, car data, geocoded data, other external data, etc.
• Split projects for contracts renewals and for new business acquisition

‍Step 2 – Build

• Build machine learning scores to predict: customer risk, customer elasticities, customer behavior, market competitiveness, lifetime value
• Define the business targets and the price optimization framework and solver
• In parallel, design the IT architecture to host the solution (dynamic optimization of prices in production). Arbitrate the make-or-buy at each step of the pricing process

‍Step 3 – Pilot

• Pilot first renewal and acquisition cases with a given entity, then roll-out to 4 entities across 4 geographies

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