Industrial manufacturing

Stop losing money between the quote and the floor.
RFQ to delivery, automated.

Your estimators are also your project managers. Accepted jobs get thrown over the wall with missing specs. Invoices lag weeks behind shipments. We deploy production‑ready process automation across your entire quote‑to‑delivery lifecycle — reclaiming 100–200 hours per month across estimating, production, and admin. Starting in 2 weeks.

Book the Blueprint → See the process ↓

Who it's for

Built for manufacturers who recognize this

  • $3M–$50M+ revenue, job shop or contract manufacturing
  • PE‑backed, family‑owned, or recently recapitalized
  • 50–500 employees across estimating, production, and admin
  • Running some mix of ERP, CRM, spreadsheets, email, and whiteboards
  • Leadership wants operational visibility without a 2‑year ERP migration

The reality today

The process you’re actually running

You don’t have a “technology problem.” You have a “people‑as‑glue” problem. Every step below depends on someone remembering, someone re‑keying, or someone walking the floor. We mapped the real process — not the idealized version — across 7 phases and 5 roles. Here’s what it looks like.

RFQ Intake — 20–35 hours/month wasted

RFQs arrive by email, phone, text, and customer portal with no single intake queue. The owner and a sales rep are both checking inboxes independently. Drawing packages sit for 1–3 days before anyone reviews them. Every late or missed quote is $5K–$50K in potential work that goes to a competitor.

Estimating — 40–80 hours/month of owner capacity locked up

The owner doubles as the lead estimator. Each quote requires manually reviewing multi‑sheet drawings, searching for similar past jobs from memory or old folders, calling material suppliers for current pricing, walking the floor to check machine availability, and building a one‑off spreadsheet. A complex quote can take 3–7 hours. Different estimators produce different numbers for the same part. When estimators retire, pricing knowledge walks out the door.

Quote Follow‑up — sporadic at best

There’s no systematic follow‑up. The owner might remember to check in, or the quote dies. Close rates under 30% are common. A 10% improvement in close rate on a $3M pipeline is $300K.

Job Handoff — 16–46 hours/month of re‑keying and coordination

This is the wall between the office and the shop floor. Accepted quotes become work orders that are manually re‑keyed into the ERP (or a spreadsheet). Job travelers are printed. Material is ordered separately. The handoff to the foreman is a verbal conversation or a forwarded email. Missing specs and transcription errors drive 5–10% rework costs on affected jobs.

Shop Floor Tracking — 13–29 hours/month of “where’s this job?”

Job status lives on a whiteboard, in a shared spreadsheet, or in the foreman’s head. The owner interrupts the foreman multiple times daily for status checks. Leadership can’t see throughput without a 30‑minute walk or a phone call. Nobody knows which jobs are actually at risk of being late.

Invoicing — $250K+ perpetually sitting in unbilled limbo

Admin doesn’t know parts shipped until someone tells them — which takes 2‑3 weeks on average. Invoice data must be manually reconciled against the quote and PO. On a $500K/month shop, that’s $250K–$375K perpetually floating in accounts receivable.

Reporting — 6+ hours/month of manual compilation

Monthly reporting to leadership is a half‑day scramble to merge data from the ERP, QuickBooks, quoting spreadsheets, and the whiteboard. The report is stale by the time it’s delivered.

The process, automated

What it looks like after BeemFlow

Same lifecycle. Fewer steps. Automation handles data movement, reminders, and reporting. Humans handle judgment, relationships, and physical work. We mapped the automated process side by side — 21 steps vs. 31, 2 system nodes replacing 2 human roles entirely.

RFQ Intake — automated

Every inbound RFQ from email, web forms, and customer portals lands in one centralized queue automatically. AI parses the drawing package and extracts material grades, tolerances, finish requirements, quantities, and revision levels. The estimator receives a clean queue entry with specs pre‑parsed, gaps flagged, and similar past jobs surfaced. No digging through email.

Estimating — human judgment, not human data entry

The estimator still makes the pricing decision — that’s judgment you don’t automate. But the data gathering is done. Pre‑parsed specs, past job matching, and material pricing feeds mean the estimator spends 30–60 minutes reviewing and adjusting instead of 3–7 hours building from scratch. When specs are incomplete, the system generates targeted clarification questions — not a generic “please send more info” email.

Quote Follow‑up — 100% systematic

Every open quote gets a defined multi‑touch follow‑up sequence: day 3, day 7, day 14. Stale quotes escalate to the pipeline dashboard. Win/loss tracking and quote‑to‑close metrics are visible without asking anyone. Nothing falls through because someone got busy.

Job Handoff — zero re‑keying

Accepted quotes auto‑generate work orders with the same specs, materials, and routing from the quote. Material POs auto‑trigger to preferred suppliers. A digital work order appears in the foreman’s queue with full specs, material status, and estimated delivery. No printouts. No verbal walk‑throughs. No telephone game.

Shop Floor Tracking — the whiteboard, replaced

Operators update job status by scanning a barcode or tapping a button on a tablet. Five seconds. Minimal friction. Real‑time backlog and throughput dashboards replace the whiteboard. The foreman still makes scheduling decisions — but now with real‑time capacity data and WIP visibility instead of gut feel.

Invoicing — same day the truck leaves

Shipping confirmation triggers invoice generation automatically. Line items, PO numbers, and pricing flow through from the work order. The 2‑3 week lag between shipment and billing closes to zero. AR aging alerts and payment reminders run on their own. Admin only intervenes for problem accounts.

Reporting — always current

Throughput, backlog, pipeline, and cash conversion dashboards are generated in real time from integrated systems. Stalled quotes and overdue jobs trigger alerts automatically. No monthly scramble. No stale data.

What we build

What we deploy

No more RFQs dying in inboxes

Every RFQ from email, phone, and web forms lands in one queue. Specs are parsed and routed to the right estimator automatically.

Quotes that don’t go cold

Open quotes get systematic multi‑touch follow‑up until they close or you kill them. No estimate dies from neglect.

Clean handoffs, zero re‑keying

Accepted quotes produce work orders with validated specs, materials, and routing. The shop floor gets what it needs without re‑keying.

The whiteboard, replaced

Techs update job status from a phone or tablet. Scan, tap, done. Real‑time backlog and throughput replace the whiteboard.

Invoices that go out when the truck does

Shipping confirmation triggers invoicing. BOLs, packing slips, and line items flow through without anyone re‑entering data.

Reports that build themselves

Throughput, backlog, pipeline, and cash conversion reports generated automatically. Overdue jobs and stalled quotes trigger alerts early.

Outcomes

What changes

Quote response: days → hours

RFQs are logged and routed the moment they arrive. AI pre‑parses specs so estimators see a clean queue, not a buried inbox. 20–35 hours/month of intake time reclaimed.

Estimating capacity unlocked: 40–80 hours/month

Estimators shift from data gathering to decision‑making. The owner stops being the bottleneck. The shop can quote more work — or the same work faster.

Follow‑up rate: sporadic → 100% systematic

Every open quote gets a defined follow‑up sequence. Close rate improvements of even 5% on an $8M pipeline = $400K in additional revenue.

Job handoff errors: near zero

Work orders are generated from the accepted quote. Same specs, same materials. Rework from handoff errors drops to near zero. 16–46 hours/month of re‑keying and coordination eliminated.

Floor visibility: real‑time

Scan/tap status updates replace “ask Dave.” 13–29 hours/month of status‑check interruptions returned to productive work — for the foreman and the owner.

Invoice lag: 2‑3 weeks → same day

Delivery confirmation triggers the invoice automatically. $250K+ in AR float reclaimed. 8–17 hours/month of manual invoicing and payment chasing eliminated.

Reporting: always on

Leadership gets live dashboards. 5–7 hours/month of compilation time gone. Data is never stale.

Total: 100–200 hours/month reclaimed

Across estimating, production scheduling, admin, and reporting. The conservative floor is 100 hours. Shops with higher RFQ volume or more complex quoting see 150–200+.

Hour savings are estimated based on a $8M revenue, 45‑employee contract CNC shop processing ~40 quotes/month at a ~30% close rate. Your Blueprint will identify specific targets for your operation.

What this looks like in practice

In the field

A 45‑employee contract machine shop was quoting $6M/year but closing under 30%. RFQs sat in the owner’s inbox for 2‑3 days before anyone touched them. Accepted jobs were handed off on paper; the shop ran roughly 8% rework on missing‑spec errors. Invoicing lagged shipments by 18 days on average, leaving $200K+ in perpetual AR float.

After deploying automated RFQ intake, quote follow‑up sequences, and delivery‑triggered invoicing, quote response dropped to under 4 hours, rework from handoff errors dropped significantly, and invoicing moved to same‑day.

The owner estimated the automation reclaimed 35–40 hours/month of admin time across estimating, production, and billing — and an additional 60–80 hours/month when counting reduced estimating time and eliminated status‑check interruptions.

Composite illustration based on common engagement patterns. The 35–40 hour figure reflects direct admin time savings, consistent with the conservative end of our estimates. Total operational time savings including estimating, scheduling, and floor management typically reach 100–200 hours/month depending on shop size and RFQ volume.

Implementation

How we get there

Blueprint

2 weeks

We map your live quote‑to‑delivery process, identify 3‑5 high‑ROI automation targets, and deliver an ROI snapshot with a 90‑day automation roadmap. $5K, credited toward your first Sprint.

Process Automation Sprint

4 weeks

We deploy 2‑3 production automations from the BeemFlow template library, configured and integrated into your stack. One process area per sprint, for example the full quote‑to‑work‑order pipeline.

Managed Automation

Ongoing

Monitoring, incident handling, quarterly reviews, and new automation targets as your operation evolves. Clear SLAs so your team knows what BeemFlow manages vs. what they own.

Guarantees & ownership

Your operation, your systems

  • Everything runs on your infrastructure, your accounts.
  • All automations, dashboards, and documentation are yours. We build on n8n and open tools wherever practical.
  • 30‑day stabilization included on every deployment. If something we built breaks under normal use, we fix it.
  • Managed Automation required for critical‑path automations (minimum 6 months). After that, continue month‑to‑month or transition to per‑incident support.

Map this process to your stack

You just saw the before and after. The Blueprint takes 2 weeks. You’ll get a structured map of your quote‑to‑delivery process — mapped to your actual people, systems, and pain points — plus a prioritized list of automation targets with ROI projections and a 90‑day roadmap.