Bid-to-contract automation for manufacturers

Answer every RFP and RFQ with everything your company already knows.

Nexus AI reads the request, checks stock, BOM and vendor lead times, drafts from what you've won before, prices within your rules, and brings the right person in for every decision.

Works on top of your ERP
·
A person approves every quote
·
Every decision on record
What a proposal costs today
9
contributors on the average RFP response
30 hrs
of writing alone, before reviews, pricing and approvals
~25%
of working time lost searching for answers

Sources: 2024 survey of 1,663 proposal professionals by Loopio with APMP; Atlassian State of Teams 2025, 12,000 knowledge workers.

The problem

The answer to every RFP and RFQ is already in your building. It's just in six places.

On-hand lives in the ERP. Customer pricing and quote history live in the CRM. The BOM lives in PLM. Lead times sit in a vendor's email. And which alternate actually works? That's in one engineer's head.

How it works

It knows your business, runs your rules, and asks the right person.

No new system to learn and nothing ripped out. Nexus AI sits on top of the ERP, CRM and PLM you already run.

Your data

Knows your business

Reads the RFP or RFQ and every addendum, and matches each line to your part numbers, stock, BOM, vendors, past proposals and outcomes.

Your process

Runs your rules

Applies your bid criteria, margin floors, compliance checks and approval limits on every response, every time.

Your people

Asks the right person

Routes sections to contributors and decisions to approvers, with the context attached. When it isn't sure, it asks instead of guessing.

01

Read the request

Every line, quantity and due date

02

Decide go/no-go

Against your own win history

03

Check supply

Stock, BOM, lead times, alternates

04

Draft and price

From past winners, within your floors

05 · A person

Approve

The right approver, with the context

06

Submit and learn

Outcome recorded for the next bid

Turn a quote request into a controlled decision.

Why we built Nexus

Hear it from the people who built it.

Gowitek's leadership on the quoting problem we kept seeing inside manufacturers, and why we built Nexus to sit on top of the systems you already run.

[2:30]
For every team that touches a quote

One RFQ, five teams. Each one sees what matters to them.

Pick your role to see what Nexus shows you, and what changes on your side of the quote.

"Which RFQs are we about to lose, and where should my team focus?"

See every open RFQ, what's at risk, and where you win.

  • Live RFQ board. Every request, owner, due date and status, without chasing the team.
  • Early warning. RFQs due soon with lines still unassigned or blocked.
  • Hit rate by category. Know which product lines and customers you win, and point the team there.
What changesMore RFQs answered same day with the team you already have, and no bid dying quietly in a shared inbox.
Nexus inbox: every open RFQ and RFP with customer, value, stage, due date and how many lines are matched or blocked.
AI observation: Two RFQs have 3 and 12 blocked lines. Clear those first: they hold $2.25M of open value.
Product screen · demo data

For IT: Nexus sits on top of your ERP, CRM and PLM. Nothing is replaced, access is role-based, and every action is logged.

Give every quote desk your best estimator.

See team workflows
For every team that touches a quote

One RFQ, five teams. Each one sees what matters to them.

Pick your role to see what Nexus shows you, and what changes on your side of the quote.

"Which RFQs are we about to lose, and where should my team focus?"

See every open RFQ, what's at risk, and where you win.

Live RFQ board.

Every request, owner, due date and status, without chasing the team.

Early warning.

RFQs due soon with lines still unassigned or blocked.

Hit rate by category.

Know which product lines and customers you win, and point the team there.
What changesMore RFQs answered same day with the team you already have, and no bid dying quietly in a shared inbox.
"Can I quote this line, at what price, and when can it ship?"

Every line pre-checked. You review, not re-key.

Lines already extracted.
No re-typing a 20-page RFQ into a spreadsheet.
Customer description to your P/N.
With a reason you can check.
Stock, ship date and last price quoted
to this customer, on the same screen.
What changesReps spend their day selling instead of searching, and quote far more RFQs without adding headcount.
"Stop pulling me into every quote to ask which part replaces which."

Engineering reviews the exceptions, not every RFQ.

Alternates with the reasoning.
Same mechanism, same rating, what's different.
Only flagged lines come to you.
Low confidence or new specs get routed for review.
Your answer is kept.
Once you approve an alternate, the whole team can reuse it.
What changesEngineers get their week back, and the knowledge in their heads stays with the company when they move on.
"Don't promise a date we can't build to."

Know the real ship date before sales promises one.

BOM roll-up.
Stock checked across every component of an assembly, not just the finished SKU.
The part that holds up the order,
flagged, with vendor lead times side by side.
Open POs counted.
What's already on order and when it lands.
What changesFewer expedites and missed dates, because the promise date is set by what you can actually build and source.
"Where is margin leaking between the quote and the invoice?"

Every discount approved by name. Every quote on the record.

Discount approvals.
Quotes above your threshold route to the right person automatically.
Pricing precedent.
What you quoted this customer before, and what won.
A full audit trail.
Who changed what on every quote, and why.
What changesMargin decisions are made on purpose, by a named person, not buried in an email thread.

For IT:Nexus sits on top of your ERP, CRM and PLM. Nothing is replaced, access is role-based, and every action is logged.

Give every quote desk your best estimator.

Insights & margin

Nexus tells you what matters before the quote goes out.

Show one useful recommendation, then prove whether the quote can be built, sourced and approved with margin intact.

AI suggestion on a live quote
RFQ-2026-0418
Nexus recommendation

This RFQ mirrors a prior winning quote.

The 2024 Helios cooling proposal had 87% structure overlap and won at 28.4% margin. This draft is at 29.7%, with room to absorb the expedite fee.

Last win
28.4%
This draft
29.7%
Headroom
+1.3 pts
Past win matched
87%
Lead-time risk flagged
1 line
Approval packet ready
Finance
What matters most 01

Can we build it?

Nexus checks the BOM and sub-assemblies, not just finished SKU stock. It flags the component that will hold up the order before sales commits.

CAK-48 frame
OK
Door set
OK
Top panel
Short
What matters most 02

Can we source it in time?

Nexus compares vendor lead times and approved alternates, so a shortage comes with the next best action instead of another email thread.

21d
Vendor A
12d
Vendor B
30d
Vendor C
01AI suggestion
02BOM check
03Vendor lead time
04Margin decision
05Named approval

This keeps the section focused on the recommendation, the build risk and the sourcing decision, instead of asking buyers to read a full dashboard screenshot.

Protect margin before the quote goes out.

Not another automation tool

Automation tools move data between apps. Nexus AI runs the process that sets your price.

General automation tools are good toolkits. With enough effort you could build pieces of this on one. What you would end up building is Nexus AI.

Capability Manual process0 of 11 fully covered General automation tools0 of 11 fully covered Typical AI quoting tool3 of 11 fully covered Nexus AI11 of 11 fully covered
Getting the request in
Pulls RFPs and RFQs from the inbox, any formatBy handIf someone builds itYesYes
Matches each line to your part numbersDepends who you askOnly what you wire inYesWith a reason per line
Can we actually ship it?
On-hand and open POsManuallyIf you connect itUsuallyLive
BOM and sub-assembly roll-upOnly your engineersNoRarelyEvery component
Vendor lead times and approved alternatesEmail and phoneNoSomeOn every line
Insight and margin
Why you win and lose, by reasonGut feelNoWin/loss countsLoss reasons by category
AI observations for each teamNoNoRarelyPushed to each role
Margin checked against floors and past winsIf someone remembersRules someone scriptedPricing rulesOn every quote
Control and memory
Named approver and audit trailBuried in emailVariesVariesEvery decision on record
One record from RFP to quote to contractAcross inboxesEach run starts freshQuote onlyOne record
UpkeepYour team, foreverSomeone technical; breaks when the process changesVendor-managedConfigured with Gowitek and kept running
Getting started
How you start—Build it yourselfEnterprise rolloutLean pilot, Gowitek co-invests

"Typical AI quoting tool" reflects the public product pages of leading RFQ-automation vendors, reviewed September 2026. "Partly" means the capability exists in some products or depends on manual effort.

Capability Manual process0 of 11 fully covered General automation tools0 of 11 fully covered Typical AI quoting tool3 of 11 fully covered Nexus AI11 of 11 fully covered
Getting the request in
Pulls RFPs and RFQs from the inbox, any formatBy handIf someone builds itYesYes
Matches each line to your part numbersDepends who you askOnly what you wire inYesWith a reason per line
Can we actually ship it?
On-hand and open POsManuallyIf you connect itUsuallyLive
BOM and sub-assembly roll-upOnly your engineersNoRarelyEvery component
Vendor lead times and approved alternatesEmail and phoneNoSomeOn every line
Insight and margin
Why you win and lose, by reasonGut feelNoWin/loss countsLoss reasons by category
AI observations for each teamNoNoRarelyPushed to each role
Margin checked against floors and past winsIf someone remembersRules someone scriptedPricing rulesOn every quote
Control and memory
Named approver and audit trailBuried in emailVariesVariesEvery decision on record
One record from RFP to quote to contractAcross inboxesEach run starts freshQuote onlyOne record
UpkeepYour team, foreverSomeone technical; breaks when the process changesVendor-managedConfigured with Gowitek and kept running
Getting started
How you start—Build it yourselfEnterprise rolloutLean pilot, Gowitek co-invests

"Typical AI quoting tool" reflects the public product pages of leading RFQ-automation vendors, reviewed September 2026. "Partly" means the capability exists in some products or depends on manual effort.

One record from RFP to final invoice

What you promise in the bid is still on file when the change order arrives.

RFP

Win the right work

Go/no-go on your own history, proposals drafted from what won, commitments recorded.

RFQ and bids

Price from precedent

Line items matched to your catalogue, stock and lead times checked, margin floors held.

Contract

Keep the margin you won

Obligations tracked to dates, changes priced against the bid, notices sent on time.

  • Sits alongside your ERP, estimating and document control
  • Role-aware access, version control and a full audit trail
  • Start with a lean pilot; Gowitek co-invests
  • The papers

    Stop answering bids you were never going to win.

    Why proposals and quotes still run on inboxes, what the people who know the answers are taking with them, and what one more win a year is worth.

    RFP paper

    Stop answering RFPs you were never going to win

    Read the paper →
    RFQ paper

    Your best estimator is retiring

    Read the paper →
    Contract paper

    The change order you didn't bill

    Read the paper →
    Customer stories

    What changes when the quote desk stops chasing.

    How teams like yours use Nexus on their own RFQs.

    Industrial distribution
    Midwest, USA

    From three-day quotes to same-day answers.

    30 hrs
    industry benchmark: average proposal writing effort before reviews, pricing and approvals.
    The challenge

    Thousands of SKUs, two or three vendors each, and only a few people who knew which alternate would work. Quotes took [2–3] days.

    What changed

    RFQs are read and matched automatically. Stock, vendor lead times and approved alternates show on every line.

    2–3 days
    manual quote cycle to compress
    Same day
    target for qualified RFQs
    Aerospace components
    Wichita, USA

    Promise dates the shop floor can actually hit.

    9
    industry benchmark: contributors involved in the average RFP response.
    The challenge

    Assemblies with long BOMs meant sales often promised dates before anyone checked every component.

    What changed

    BOM roll-up flags the component that holds up the order, with vendor lead times, before the quote goes out.

    100%
    BOM lines checked before promise
    1 line
    hold-up surfaced early
    Commercial lighting
    Southeast, USA

    Discounts decided on purpose, not by habit.

    ~25%
    industry benchmark: working time knowledge workers lose searching for answers.
    The challenge

    Discounts crept up quote by quote, with no view of what had actually won with each customer before.

    What changed

    Pricing precedent shows on every quote, and discounts above threshold route to a named approver.

    29.7%
    draft margin visible before approval
    +1.3 pts
    headroom vs prior win

    Industry benchmarks use the proposal and knowledge-work sources cited above. Placeholder stories, locations and target outcomes should be replaced with approved pilot results before publishing.

    Not ready for a demo yet?

    Find out how ready your quote process is for AI.

    Take the free Signal AI readiness assessment. In about [10] minutes you'll see where your data, systems and team stand, and which step to take first.

    Your AI readiness score
    FREQUENTLY ASKED QUESTIONS

    Questions manufacturers ask before they automate quoting.

    Built for SEO, AEO and GEO: direct answers to the questions buyers ask in Google, ChatGPT and AI search before they talk to sales.

    What is the best way to automate RFQ responses for manufacturers?

    The best RFQ automation reads the request, extracts line items, matches part numbers, checks ERP, CRM and PLM data, validates stock and BOM risk, then routes exceptions to the right person.

    How can manufacturers quote in minutes instead of days?

    Manufacturers can quote faster by using AI to read PDFs and emails, extract every line, match parts automatically and surface stock, lead time and margin checks before a rep starts typing.

    Can AI quoting software work with ERP, CRM and PLM systems?

    Yes. The right AI quoting layer should sit on top of existing ERP, CRM and PLM systems instead of replacing them. Those systems remain the sources of truth for stock, customer history and BOM data.

    How do you check stock, BOMs and vendor lead times before sending a quote?

    AI quote automation can compare each requested item against on-hand stock, open POs, BOM components, approved alternates and vendor lead times so sales can promise what operations can actually ship.

    How can manufacturers reduce quote errors and missed promise dates?

    Quote errors drop when part matching, availability, BOM roll-ups, alternates and approval rules are checked before submission. The goal is to catch blocked lines before a customer gets the quote.

    How can sales teams protect margin during discount approvals?

    Teams protect margin by showing cost, price, floor, past wins and discount history on every quote. Discounts outside policy should route to a named approver with the precedent and margin impact attached.

    Should AI fully automate quote approvals?

    No. AI should prepare the recommendation, evidence and approval packet, but a person should approve high-value quotes, margin exceptions, compliance risks and customer commitments.

    How do you start an AI quoting pilot?

    Start with a small set of real RFQs or RFPs, connect the systems that hold quote data, define approval rules and measure speed, accuracy, margin protection and team capacity before scaling.

    Get the answer for one of your own RFQs.

    Book a demo

    See Nexus AI on a request like yours.

    A 30-minute walkthrough built around your industry. Bring a recent RFP or RFQ (redacted is fine) and we'll show how Nexus AI reads it, what it would check in your ERP, CRM and PLM, and where your people make the call.