Next step toward smarter CNC manufacturing

In modern CNC manufacturing, time and precision are critical — especially when producing small and medium batch quantities. Manufacturers face the ongoing challenge of determining the most economical machining strategy for each custom part, often under tight deadlines and cost pressure. Spanflug Technologies’ latest version of its software solution, Spanflug MAKE, takes a significant leap toward solving this challenge through artificial intelligence and data-driven automation.

From Quoting Software to Machining Intelligence

Originally designed to accelerate cost estimation and quoting for CNC parts, Spanflug MAKE has now evolved into a platform for Machining Intelligence. The system enables machine shops to calculate manufacturing costs, optimise machining strategies, and generate operational plans — all in a matter of clicks.

“The demands on precision and speed are growing rapidly, and small-batch producers don’t always have the luxury of extensive process optimisation,” says Dr. Markus Westermeier, CEO of Spanflug. “With the integration of AI, we go beyond quoting and work preparation. We’re helping manufacturers become more efficient in actual production and identify the most profitable way to machine each part.”

Addressing the Challenge of Small-Batch Production

Unlike high-volume manufacturing, where process parameters are carefully optimised over time, small-batch and job-shop operations often struggle with variability. Each new part may require a different setup, tool configuration, or machining strategy — making accurate costing and efficient production difficult.

Spanflug’s AI-powered algorithms help bridge this gap. By analysing part geometry, available machines, and tooling data, the software generates the optimal sequence of operations, along with recommended materials and tools. This approach allows even smaller manufacturers to achieve the precision and efficiency typically associated with large-scale operations.

The AI Core: Learning from Millions of Parts

At the heart of Spanflug MAKE lies a proprietary algorithm trained on millions of machining data points. The system understands how each part can be produced most effectively — from stock material selection to toolpath generation. The algorithm automatically identifies the necessary stock, machine tools, cutting tools, and estimated machining times, providing a complete and realistic operational plan.

This data-driven intelligence not only improves accuracy in cost and time estimation but also helps identify alternative machining strategies that reduce waste, shorten cycle times, and improve profitability.

Integrating Tool and Stock Data for Greater Accuracy

A key factor in Spanflug’s strategy is integrating real-world data from material and tool suppliers directly into its software ecosystem. Through partnerships with manufacturers such as CERATIZIT, Spanflug now includes verified tool data in its calculations.

“The integration of CERATIZIT cutting tool data enables the software to model the manufacturing process and generate the most profitable machining strategy,” explains Westermeier. “By combining stock data, tool databases, and machine specifications, we ensure that our customers get operational plans that reflect the real conditions in their shops.”

Users can select their own machines and input parameters such as hourly rates and tool availability. If a recommended cutting tool isn’t in stock, it can be ordered directly from the integrated CERATIZIT online shop — streamlining procurement and minimising downtime.

From Data to Operational Plan

Each operational plan generated by Spanflug MAKE includes:

• Stock materials – Access to a comprehensive database with real-time pricing and availability, allowing direct sourcing of optimal materials.
• Machine tools – Automated selection of the most cost-efficient and capable machines based on user-defined parameters.
• Cutting tools – Intelligent recommendations for optimal tools per operation, including purchasing options when needed.
• Manufacturing sequence – Detailed setup, programming, and machining times, with cost breakdowns for each stage.

The result is an actionable plan that covers every aspect of part manufacturing — from quoting to final machining — within a single platform.

Efficiency and Competitiveness Through AI

By integrating automation, artificial intelligence, and cloud-based data processing, Spanflug MAKE allows machine shops to reduce quoting and work preparation efforts by up to 90%. The time savings and consistency in cost estimation enable faster customer responses, reduced material waste, and better utilisation of resources.

For manufacturers exploring new markets or customer segments, Spanflug’s AI-driven system minimises the risks traditionally associated with unfamiliar part types and complex quoting. This contributes to greater profitability and a more sustainable approach to manufacturing.

A Glimpse into the Future of CNC Machining

The evolution of Spanflug MAKE reflects a broader shift in the industry toward intelligent, self-optimising manufacturing systems. As AI and automation become increasingly embedded in machining environments, digital platforms like Spanflug’s are expected to form the backbone of future smart factories.

With its blend of real-world data, artificial intelligence, and user-friendly integration, Spanflug MAKE is setting a new benchmark for what efficient, data-driven CNC production can look like — bringing the vision of “Machining Intelligence” closer to everyday reality.

Source: Spanflug