Most Tier 1 and Tier 2 automotive suppliers take two to three weeks to respond to an OEM RFQ. That number has barely moved in a decade, even as OEMs have shortened their award timelines, increased RFQ volume, and pushed more cost recovery risk onto suppliers.
A slow quote is not just an operational nuisance. It is one of the largest hidden drivers of margin erosion in the automotive supply base, and it shapes which programs you win, which ones you lose, and which ones you win at the wrong price.
Here is what is actually happening inside the typical automotive RFQ process, and why the suppliers who fix it are pulling away from the ones who do not.
For most automotive suppliers, OEM RFQ response time runs between two and three weeks from kickoff to submitted quote. For complex programs with multi-OEM exposure, custom tooling, or non-standard BOMs, it can stretch longer. For aggressive OEM timelines, suppliers are sometimes given as little as a week.
Two to three weeks sounds reasonable until you look at where the time actually goes. Almost none of it is spent on the strategic work that determines whether a quote wins profitably. Most of it is spent on coordination, version control, and waiting.
The quoting delays automotive suppliers face are rarely about a single broken step. They come from the cumulative drag of a process that runs across disconnected systems, depends on tribal knowledge, and treats every quote as a one-off rebuild.
A typical quote cycle includes:
Every handoff is a place where context is lost. Every Excel file is a place where the next person has to ask, "is this the latest version?" Every supplier estimate is a place where assumptions get made by whoever is holding the file that day.
This is the operational shape of automotive quoting challenges across the industry. It is not specific to any one product line, OEM, or supplier tier.
Slow RFQ response time creates four distinct margin problems, and most suppliers underestimate all of them.
Pricing errors from rushed quotes. When a quote kicks off Friday and is due Monday, accuracy suffers. Cost models get stitched together under deadline pressure. Supplier estimates get treated as firm numbers. Overhead allocation rates get applied inconsistently across plants. The quote goes out, the program gets awarded, and the gap between the priced margin and the realized margin shows up six months later when nobody can find the original assumptions.
Lost bids on speed. OEMs increasingly run RFQs with compressed response windows. Suppliers who cannot turn a quote in a week lose the opportunity to compete on programs they would have won. This is a category of revenue loss that does not show up on any report because the bid was never submitted.
Reactive instead of proactive quoting. When the quote process consumes two weeks of cross-functional time, there is no capacity left to quote proactively. Suppliers wait for the RFQ to arrive instead of getting ahead of known model refreshes, generation changes, and platform extensions where they already have content.
Re-quoting cost on engineering changes. A slow process for new RFQs is also a slow process for engineering change cost recovery. ECs that should be priced and submitted inside narrow OEM recovery windows miss the window. ED&D amortization assumptions and pass-through commitments drift from the original contract because nobody can find the original quote to reference against.
The combined effect is a multi-point hit to program-level margin that does not show up as a single line item anywhere. It shows up as the slow erosion between what was quoted and what was earned.
The instinct is to add headcount or push harder on existing resources. Both fail, because the constraint is not effort. It is the structure of the process.
Suppliers who have meaningfully reduced RFQ turnaround share four characteristics:
They standardize the cost model. Every quote starts from a consistent template with consistent formulas, consistent overhead allocation logic, and consistent treatment of testing, ED&D, and tooling. Costing engineers stop rebuilding from scratch.
They centralize historical quote data. Every prior quote for similar parts is searchable in one place, with version history intact. New quotes get benchmarked against historical wins and losses. Re-quotes start from the prior quote, not from a blank Excel file.
They connect costing to purchasing. Supplier quote requests, assumptions, cavity counts, material grades, and volume estimates flow into the cost model directly. Cost engineers stop walking to the buyer's desk to read assumptions off a screen.
They run forecast and quote on the same data. Pricing changes, contract updates, and negotiation outcomes flow into the forecast automatically. The number the CFO sees in the forecast is the same number Sales committed to in the quote.
These changes typically compress RFQ response time from two to three weeks down to under a week, while improving quote accuracy at the same time. The reason both move together is that the same friction causing the delay is also causing the inaccuracy.
Campfire is a profit intelligence platform built specifically for automotive and commercial vehicle suppliers. It connects RFQ intake, cost modeling, BOM management, supplier quote tracking, engineering change cost recovery, and forecasting in one system, so the data behind a quote is the same data behind the forecast and the same data behind EC recovery later in the program.
Suppliers running on Campfire typically see 2 to 5 percent margin expansion and 3 to 7 percent revenue growth, with quote turnaround times measured in days instead of weeks. More than 12,000 users across the supplier base manage over $200 billion in customer business on the platform.
The point is not faster quotes for their own sake. The point is that compressing RFQ response time is the leading indicator of a supplier finance and sales operation that has its margin under control.
How long should an OEM RFQ response take for a Tier 1 automotive supplier? For standard programs, a well-tooled supplier can respond inside one week. Complex programs with new tooling or unusual BOMs may run longer but should not require two to three weeks if the underlying process is connected. The two-to-three week industry norm reflects process drag, not work content.
What causes pricing errors in automotive quotes? The most common causes are inconsistent overhead allocation across plants, supplier estimates treated as firm quotes, manual rate lookups that pull stale data, and version control failures where the wrong cost model gets submitted. All of these are symptoms of disconnected systems and Excel-based quoting.
Can ERP systems handle automotive RFQ quoting? Most ERPs are built for transaction processing after award, not for the pre-award quoting and cost modeling work that determines program margin. Suppliers typically end up running quoting in Excel alongside the ERP, which creates the data silos and version control problems that slow RFQ response time in the first place.
How does slow RFQ response affect engineering change recovery? The same disconnected processes that slow new quotes also slow EC cost recovery. When the original quote cannot be referenced quickly, ECs miss OEM recovery windows, and ED&D amortization and pass-through assumptions drift away from the contracted terms. Quote speed and EC recovery share the same underlying infrastructure.
What is the fastest way to improve quote turnaround? Standardize the cost model, centralize historical quote data, connect costing to purchasing, and run forecast and quote on the same data. Adding headcount without addressing the structural issues rarely moves the number.
See how Campfire helps automotive suppliers cut RFQ response time and protect program margin. Request a profit intelligence review.