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Lead Generation
AI Lead Qualification Agent for Manufacturing
RFQs and distributor enquiries are checked against your specs and order minimums before a sales engineer picks them up.
Sales engineers lose hours on RFQs for quantities you cannot run economically, or specifications you do not make. This agent qualifies product enquiries, RFQs and distributor applications first. It asks about the part, quantities, specifications, delivery location and timing, checks the answers against your spec sheets and minimum order rules, and scores each enquiry in your CRM.
- RFQs checked against your spec sheets and order minimums
- Distributors asked their own questions and routed separately
- Sales engineers start from complete, scored enquiries
$4,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Lead Qualification Agent for Manufacturing qualifies product enquiries, RFQs and distributor applications. It asks about part or product, quantities, specifications, delivery location and timing, checks answers against your spec sheets and minimum order rules, and scores each in your CRM for the sales team.
Why businesses buy it
In manufacturing, quoting is skilled, slow work, and every RFQ that turns out to be the wrong spec or volume wastes engineering time. Meanwhile serious buyers wait for answers to basic capability questions. This agent answers from your own product data, collects the details engineers need and filters out requests you cannot run profitably, so your team quotes the work that fits your lines. Distributors get their own path. The spec documents, systems and rules are written on the Scope Card before you order.
Problems this solves
RFQs arrive missing quantities, specifications or delivery details
The agent asks about part or product, quantities, specifications, delivery location and timing. Your sales team receives each RFQ with the details needed to start a quote.
Sales engineers quote orders below your minimum quantity
Answers are checked against your spec sheets and minimum order rules. Enquiries that fall short are flagged in the score, so engineers do not spend time quoting them.
Distributor applications pile up without a consistent review
Distributor applications are qualified in their own conversation flow, using the Manufacturing workflow template. Each is scored in your CRM against the criteria you set.
A good fit if
Sales engineers spend hours on RFQs for quantities you cannot run economically, or specifications you do not make.
Your spec sheets, product data and order minimums are spread across documents, and buyers ask the same capability questions every week.
Distributors and resellers apply through the same channel as end customers, and need a different set of questions.
Order history sits in an ERP you can export or reach by API, alongside a CRM or Microsoft Teams for the sales team.
Not the right fit if
Enquiries are already qualified and the slow part is writing the quotation. See AI Proposal System for Manufacturing.
Existing customers mostly ask about order status and deliveries, not new business. See AI Customer Support Agent for Manufacturing.
Your staff need answers from SOPs and internal specs on the shop floor. See AI Company Knowledge Hub for Manufacturing.
The job is coordinating suppliers and purchase orders, not qualifying buyers. See AI Operations Assistant for Manufacturing.
How it works
- A web enquiry, RFQ email or chat message opens a conversation on the one channel you choose for inbound sales.
- It identifies the sender as an end customer, a distributor applying to resell, or a supplier, and sends suppliers to the contact you name.
- For customers it asks about the part or product, annual or batch quantities, material and tolerance requirements, delivery location and the date they need it.
- Requirements are compared with your spec sheets and product data, up to 100 documents, so out-of-range requests are identified before anyone quotes.
- It checks ERP exports or the CRM for existing accounts, then scores the enquiry against your order minimums and target markets, with a written reason.
- Qualified RFQs go to the right sales engineer or regional manager under your approval rules, with a summary posted to the CRM or a Teams channel.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Admin access to your CRM and API access or regular exports from your ERP, with test data if possible.
- Spec sheets, product data and capability statements the agent may check requests against.
- Order minimums, target markets and any products or processes you will not quote.
- Ten real RFQs or enquiry emails, including a few distributor applications.
- Which sales engineer or region owns each product line, and who reviews borderline RFQs.
- One decision-maker who approves the questions and scoring rules.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified; order minimums and product scope agreed.
Weeks 1–2
Manufacturing template, RFQ questions and spec checks built.
Week 3
ERP export or API and CRM connected and verified.
Weeks 3–4
Fifty scenarios tested, including out-of-spec and distributor enquiries.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session for sales engineering, support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,900 |
| Express | 15–25 working days | $5,750 |
| Rush | 10–20 working days | $6,600 |
What you receive at handover
- The AI Lead Qualification Agent for Manufacturing, handling product enquiries, RFQs and distributor applications
- A Manufacturing intent library and workflow templates built around your spec sheets and minimum order rules
- Connections to up to two agreed systems, including your CRM
- A test report built on manufacturing scenarios
- An admin guide and recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can cut the back-and-forth needed to complete an RFQ
- Helps engineers spend quoting time on viable orders
- Makes distributor reviews consistent
- RFQs needing follow-up for missing details
- Ask sales to tally incomplete RFQs for a month before launch and a month after.
- Time from RFQ to quote
- Compare RFQ received and quote sent dates in your CRM, before and after launch.
- Quotes that become orders
- Compare quote-to-order counts for the quarter before launch and the quarter after.
Before you start: Record how many recent RFQs needed chasing for details and your typical time to quote. Note last quarter's quote-to-order figures.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build is a one-time cost. Running it costs roughly $50 to $250 a month for AI model usage and hosting in your own accounts, plus the CRM and ERP licenses you already hold.
AI usage while we build and test is billed to those same accounts, so every provider agreement stays with the manufacturer.
Ask about running costsCustom requirements
If you need more than six qualifying paths, for example separate routes for several product families, or a live two-way ERP connection plus a CRM and Teams, add a note at checkout. A written Change Quote follows, and that work starts only once you accept it.
Request a custom versionKeep it running
We recommend monthly maintenance for this edition: monitoring, fixes and monthly hours for changes, such as new spec sheets, revised order minimums or a new product family. Maintenance begins after the 30 days of support.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | An RFQ portal is usually a monthly subscription | An industrial marketing agency quotes a retainer | Ours is one fixed price, shown before you buy |
| Spec checks | A form accepts any specification typed in | Depends on what was built | Ours checks requests against your own spec sheets |
| Distributors | Handled like any other enquiry | Depends on the routing agreed | Ours asks distributors their own questions and routes them apart |
| Delivery | Quick, with generic fields | Usually several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Can AI Lead Qualification Agent for Manufacturing check an RFQ against our specs?
Yes, against the spec sheets and product data you approve, up to 100 documents. If a buyer asks for a material, tolerance or size outside what those documents cover, the enquiry is marked as out of range with the reason, so a sales engineer can decide quickly instead of discovering it halfway through a quote.
Does the manufacturing edition produce quotations or prices?
No. It qualifies and summarizes the RFQ, then hands it to your team. Pricing and quotations stay with your sales engineers. If you want quotations drafted from qualified RFQs, AI Proposal System for Manufacturing covers that separate step, using your own templates and pricing rules.
How are distributor applications handled?
They follow their own path from the Manufacturing template. The agent asks distributors about their territory, the markets they serve, the volumes they expect and the products they want to carry, scores them against your partner criteria, and routes them to whoever manages channel partners, kept apart from end-customer RFQs.
Can it read our ERP to recognize existing customers?
Yes, through ERP exports or API access as one of the two connected systems. That lets the agent recognize an existing account, see past orders, and route repeat business to the account owner. Write access to the ERP is agreed during intake; you can keep it read-only and have scores written to the CRM instead.
What does every Manufacturing lead qualification build include?
Every build includes the Manufacturing template, 50 documented test scenarios, two rounds of changes and 30 days of support. Standard, express and rush delivery times are shown in the delivery panel before you buy, and the clock starts from a verified intake with your spec sheets and order rules in hand.
What will a manufacturer pay to run it each month?
Roughly $50 to $250 a month for AI model usage and hosting, in your own accounts, plus your CRM and ERP licenses. There is no charge per RFQ or per order won. Monthly maintenance is optional and covers updates such as new spec sheets or product families.
Quote the RFQs you can actually make.
Order AI Lead Qualification Agent for Manufacturing and RFQs and distributor enquiries are checked against your specs and minimums, then scored for sales engineering.
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