Cost optimization with AI – efficiency reimagined

Intelligent systems that see more, compare faster, and optimize more precisely: AI opens up new ways to sustainably reduce costs in design, manufacturing, and product development – without compromising on quality or speed.

 

Transparency where there used to be complexity

Our AI analyzes metadata, drawings, parts lists, CAD models, production processes, and procurement data. In doing so, it identifies anomalies and potential for optimization – from duplicate parts and oversized components to inefficient production sequences. This creates a complete, data-based picture of all cost factors.

 

Price and cost forecasts based on real market values

By combining internal data, industry knowledge, and current market data, the AI generates accurate price and cost forecasts:

  • How are material or raw material costs developing?
  • Which components are becoming more expensive or cheaper on the market?
  • Which alternatives offer better value for money?

This gives companies a clear basis for decision-making in purchasing, design, and production planning.

 

AI-supported production cost estimates

Manufacturing costs can also be evaluated intelligently:
AI estimates production costs based on geometry, tolerances, manufacturing processes, machine running times, and supplier quotes.
It answers key questions such as:

  • Is the supplier's price justified?
  • How expensive would an alternative manufacturing route be?
  • Which parameters drive up costs – and why?

This results in an objective, transparent, and data-based cost picture.

 

Transport cost optimization – global, data-driven, and forward-looking

Our AI evaluates transport routes, delivery countries, customs structures, and logistics options in real time and automatically identifies where costs can be saved. By analyzing freight rates, throughput times, carbon footprint, regional risks, and supplier locations, the system identifies the most economical procurement and distribution routes.

Whether components from Asia, raw materials from Europe, or assembly in multiple countries: the AI simulates various scenarios and shows where it is worth buying, what the optimal shipping route looks like, and which logistics partners or warehouse locations offer the best cost-benefit ratios in the long term. Volatile factors such as market prices, currency fluctuations, and geopolitical risks are also taken into account in the decision.

 

Discover potential savings automatically

AI immediately identifies realistic optimization options:

  • Where can materials be saved?
  • Which variants are more economical?
  • Which components can be standardized or replaced?
  • Which supplier relationships are most efficient in terms of price and quality?

Suggestions are generated within seconds—including reasons and quantifiable effects.

 

Convincing figures

Our solutions do not deliver abstract ideas, but concrete calculations:

  • Potential savings in material costs
  • Reduced manufacturing and throughput times
  • Lower storage and logistics costs
  • Realistic price ranges for components and assemblies

Everything is precise, traceable, and directly usable for your planning.

 

Predictive Costing & Scenario Comparisons

AI thinks ahead:
By simulating different design and manufacturing variants, you can identify which decision offers the best long-term cost-benefit ratio even before production starts.
Ideal for development teams, purchasing, and management.

 

For purchasing, design, and management

  • Design receives clear guidance for more economical designs.
  • Purchasing receives valid market and price assessments for better negotiations.
  • Management receives reliable reports for strategic decisions.

 

More than just savings – room for innovation