Mastering industrial quoting from the product design phase
Machine Learning applied to 3D CAD data to predict production costs, secure margins, and accelerate time-to-market.
Contexte
In the Luxury industry, the frantic cycle of seasonal collections demands extreme development speeds. Accurately estimating the cost price of metal accessories during the design phase is a complex challenge. This lack of initial visibility impacts financial planning and negotiations with strategic suppliers.
Solution
We deployed a Machine Learning model capable of analyzing 3D CAD design files, price history, and material composition. This solution automates cost engineering by instantly predicting manufacturing costs, enabling reliable decision-making before a new product is even launched.
Bénéfices
- Significant acceleration of Time-to-Market by streamlining iterations between Design and Production
- Margin optimization through ultra-precise cost estimation from the initial styling phase.
- Securing production ramp-ups without compromising the quality standards required by the luxury sector
The main challenge was integrating heterogeneous data, particularly 3D CAD design files. We developed algorithms capable of translating these complex geometries into actionable cost variables. This analytical rigor transformed an uncertain manual process into a high-performance, stable decision-making tool.
Secure your costs and optimize your margins today
Transform your industrial quoting with the power of predictive AI.
Autres cas clients
