๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ป๐ด ๐๐ต๐ฒ ๐๐ผ๐๐ ๐๐ฎ๐น๐ฐ๐๐น๐ฎ๐๐ถ๐ผ๐ป: ๐๐ฟ๐ผ๐บ ๐ ๐ฎ๐๐ฒ๐ฟ๐ถ๐ฎ๐น ๐ฎ๐ป๐ฑ ๐ฅ๐๐ป๐๐ถ๐บ๐ฒ ๐๐ผ ๐ฎ ๐ช๐ถ๐ป๐ป๐ถ๐ป๐ด ๐ฃ๐ฟ๐ถ๐ฐ๐ฒ
Every hour spent hunting material prices, calculating machine time, and applying markup rules is an hour lost on the shop floor. Small job shops lose bids when quotes are slow or inaccurate. This lets competitors win work that should be yours.
The foundation of reliable AI quoting is a single source of truth. This source ties geometry, material, process, and business rules together. By storing material costs, supplier info, and update dates, the system connects part features to a calculation engine. This allows the system to derive machine time, add standard operations, and apply the correct markup without manual lookup.
Tool Spotlight: Runtime Calculator
This engine takes inputs like stock diameter, finished diameter, and length to output precise machine hours. It replaces guesswork with repeatable estimates.
An RFQ arrives for a 5 x 5 x 0.5 inch plate of 6061 aluminum. The system pulls the plate cost from the Material Database, sends the geometry to the Runtime Calculator for milling, adds deburring time, and applies the margin based on volume and industry.
How to implement this:
Build and maintain core databases. Populate a Material Database with your top ten alloys. Include supplier part numbers, cost per unit, and last updated dates. Create a library for standard operations like deburring and finishing.
Connect geometry to the Runtime Calculator. Integrate your CAD or RFQ intake tool. This ensures part dimensions and features feed into the calculator automatically. The tool then returns machine time for each operation.
Apply a rule-based markup engine. Encode your markup rules as logic. This includes minimum order charges, volume-based margins, and industry premiums. The engine runs this logic after the system sums cost and time to produce a final price.
Centralizing material data, linking geometry to a runtime calculator, and automating markup rules turns quoting from a bottleneck into a competitive advantage. You get faster, accurate RFQ responses. This helps you win more work while protecting your margins.
Optional learning community: https://t.me/GyaanSetuAi