AS568 and Custom O-Ring Quoting: Handling Dash Sizes, Compounds and Custom Sizes

Three Different Quotes Hiding in One Request

A buyer emails a list of part numbers and expects a price. Some lines are AS568 sizes such as a -214 or -325 in 70 Shore A nitrile that you stock. Others are the same dash size in a compound you must mold or buy in, such as FKM, EPDM or silicone.

And some lines are non-standard inside diameters or cross-sections, metric sizes per ISO 3601, or oversize rings that need to be spliced from cord stock. Each case has different lead time, minimum order, and cost structure. If your quoting process treats them all as 'look up a price', your inside sales team either guesses or sends everything to an estimator, which is why O-ring quotes often take days even though the catalog is simple.

• Stock size and stock compound: price list with quantity breaks
• Standard size, non-stock compound: mold, buy-in or special-order logic
• Custom or oversize: tooling, cord splicing or machining decision
• Metric and ISO 3601 sizes, mapped to or from AS568 equivalents where they exist

Build the Compound and Spec Matrix

2600 for food contact, NSF/ANSI 61 for potable water, or an aerospace AMS spec), and which compounds you hold in stock or buy from which mixer. Specs matter commercially. A request for an AMS or MIL-qualified FKM changes sourcing, lot testing and paperwork, and a request for an FFKM changes price by an order of magnitude.

When the matrix lives only in a salesperson's head, quotes are inconsistent, and a customer asking for 'Viton' may get a generic FKM when the application needed a specific grade.

Pricing Logic for Quantity Breaks and Minimums

Catalog O-ring pricing is a quantity-break table by size and compound, but small orders must also carry a minimum charge that covers picking, packaging and paperwork. For molded-to-order lots, the price needs a real setup recovery, because running a few hundred pieces on a 40-cavity tool is nearly as expensive as running thousands. For custom sizes, compare three routes: an existing tool you can reuse (the cheapest if you have a near size), new tooling, or splicing and bonding from cord stock, which is acceptable for some static uses but not all, especially in dynamic or high-pressure sealing.

A salesperson should know which route the application can tolerate before quoting, so involve engineering when pressure, motion or media are unclear.

Cure Date, Shelf Life and Customer Requirements

Aerospace and some industrial customers specify cure date marking, maximum age at delivery, and storage conditions per guidance such as SAE ARP5316. Your quote is only valid if your stock actually meets that age limit, so quoting stock needs to see inventory by cure date and lot, not just on-hand quantity. This is a place where a generic distribution system fails and a lot-controlled ERP pays off.

Likewise, a request for a certificate of conformance with compound lot data, or for batch-specific physical property results, has to be priced and promised only when the lab data exists for the lot you will ship.

• Quote only stock that meets the age and cure-date requirement
• Link compound lot to finished lot before promising certs
• Flag orders needing special packaging, marking or testing

Where ERP and AI Fit

Standard ERP price books handle the stock catalog if item attributes are structured: size, compound, durometer and spec as fields rather than packed into the item description. Without that structure, search and pricing fall back to people. AI helps in two places.

First, parsing the buyer's messy request (spreadsheet, email text, scanned PO) into structured lines with size, compound and spec. Second, suggesting a route and price for non-catalog lines by comparing them to past jobs and tools in your ERP. A human reviews the output.

If you quote mostly catalog sizes from a clean web store or price list, you probably do not need AI; the payoff is on mixed RFQs where half the lines need judgment.