# AI RFQ Quoting for Rubber and Elastomer Manufacturers > Source: https://netray.co/resources/ai-rfq-quoting-for-rubber-and-elastomer-manufacturers > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: Knowledge Base ## Short answer How AI helps rubber and elastomer manufacturers quote faster: reading RFQs and prints, matching past jobs, drafting cost builds for estimator approval, on-prem. ## Category ai-automation ## Content **Intro:** AI helps rubber and elastomer manufacturers quote faster by reading the RFQ package and part print, extracting polymer, durometer, spec and tolerance callouts, finding similar past jobs and their actual cure time, scrap and labor in the ERP, and drafting a cost build that an estimator reviews and approves. It does not replace the estimator, and it works best where you quote many custom parts and have decent job history. The data stays on your own servers when the AI is deployed privately. **Sections:** #### Where Estimator Time Goes in a Rubber Shop **Body:** A typical custom rubber RFQ arrives as a PDF print, sometimes a STEP file, a spec reference, a volume range and a request for tooling cost. The estimator identifies the polymer and durometer, checks the spec, estimates part volume, decides on process and cavity count, guesses cure time, adds flash and scrap, prices tooling and secondary operations, and adds margin. Much of the time goes into hunting for the last similar job. In shops with one or two estimators, quotes queue for days, and a slow response can lose the job to a competitor who answered first. #### What the AI Does and What It Does Not **Body:** The assistant extracts structured fields from the print and RFQ, with citations to the page, and searches your ERP and quote history for comparable parts by polymer, durometer, size and process. It surfaces actual cycle times, scrap rates, deflash labor and margin from those jobs and drafts a cost build. The estimator checks each assumption, adjusts for judgment calls and approves. It does not invent material prices, guess cure times without history or send a quote on its own. **Bullets:** - Extract polymer, durometer, spec, tolerance class, inserts and post cure from the print - Match similar past jobs and show actual cure, scrap and labor - Draft cost build with source links for each number - Flag unusual requirements such as bonded inserts or tight tolerances #### Data You Need Before It Works **Body:** The quality of a draft depends on the quality of your history. You need job routings with real cycle times, material usage and scrap, quote records tied to part attributes, and a compound price list. If cure times in the ERP are copied from an old standard and never updated, the AI will repeat that error. A short data cleanup on the top 100 part families usually pays off. Document your costing rules, such as flash allowances by process and tooling amortization policy, so the assistant follows your method rather than a generic one. #### Privacy, Deployment and Customer Data **Body:** Customer prints are often confidential, and defense or medical work can carry export or regulatory limits. Running open-weight models on your own servers, with retrieval over your ERP and documents, keeps prints inside your network and lets you enforce access by customer or program. Netray deploys this on-prem or in a private cloud, with the ERP integration read-only by default and human approval on anything that writes back. You remain responsible for your own compliance program, and the architecture is designed so you can meet it. #### When AI Quoting Is Not Worth It **Body:** If you quote under a handful of new parts a month, or most of your business is repeat orders at stable prices, the setup effort will not pay back, and a good spreadsheet is enough. If your job history is thin or unreliable, fix the data first. AI quoting pays off for shops with many custom RFQs, multiple estimators with inconsistent methods, or slow response times that cost wins. **Cta:** Send Netray a few past RFQs and prints from your shop, and we will show how a grounded draft would be built from your own job history, on your own hardware. **Faq:** #### Can AI read rubber part drawings for quoting? **Answer:** It can extract much of the information from prints, such as material callouts, durometer, tolerances, notes and part dimensions, especially from clean PDFs, and cite where each came from. Poor scans and unusual formats need human review, and the estimator still validates every value before a quote goes out. #### Will AI quoting replace my estimator? **Answer:** No. It speeds up the retrieval and first-pass build, while the estimator applies judgment on risk, capacity, margin and customer relationship. The goal is more quotes per estimator with more consistent method, not an unattended quote. #### Is it safe to put customer prints into an AI tool? **Answer:** It depends on where the AI runs. Public cloud tools may violate customer NDAs or export rules. A private deployment on your own servers keeps documents inside your network under your access controls, which is the safer pattern for confidential or controlled prints. ## Related Slugs - ai-quoting-aerospace-defense-manufacturers - syteline-rfq-process-configuration - itar-compliant-ai-tools-manufacturing - how-to-quote-custom-rubber-molded-parts ## Search terms AI quoting rubber manufacturers, AI RFQ rubber parts, automated quoting elastomer molding, AI estimating rubber molding, AI to read engineering drawings for quotes --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json