Our clients in this sector most often come to us with two closely linked challenges. On one hand, CPQ, to make the configuration of often very extensive product catalogs reliable, with numerous technical variants, options, and compatibility rules. On the other hand, Pricing, both from the angle of price management, how to structure and govern prices on a daily basis, and price optimization, how to use AI to identify the best price levels by product, segment, or customer, and continuously absorb raw material cost volatility.
This dual requirement, both technical and pricing-related, makes management particularly sensitive on an international scale: a pricing grid that is coherent in one country can become untenable in another if raw material costs and market dynamics evolve differently. Structured pricing, able to adjust quickly, then becomes a lever for resilience as much as for commercial performance.
Our engagements take two main forms depending on the client's maturity level: the complete implementation of a project, from scoping to technical implementation, for organizations building their Price-to-Cash setup; or taking over maintenance of an existing solution, for organizations already equipped who want to secure, evolve, or optimize a system already in production, without starting a full project over.