Manufacturing · persona
Discrete Job Shop / Make-to-Order
Custom or low-volume / high-mix manufacturer. Quote → engineering → production → ship. Quote turnaround is the competitive moat.
A day in the life
What the next Tuesday looks like
A 40-employee discrete job shop receives 8-15 RFQs per day. Each RFQ needs engineering review (can we make it?), routing creation (how would we make it?), material costing (what does it cost?), labor estimation, margin add, and quote response, typically 2-7 days.
Meanwhile production is fighting fires: a customer wants to expedite, a vendor missed a delivery, a part fails QC and needs disposition (rework / scrap / use-as-is). Customer service is on the phone with three customers asking for status updates.
The AI Operating Layer compresses the quote-to-cash cycle. RFQs are auto-classified, routed to the right estimator, with prior similar quotes surfaced for reference. Routing drafts are generated from prior similar parts. Material costing pulls from current vendor pricing in the ERP. Quote response gets drafted and queued for estimator review, typical turnaround drops from 2-7 days to 4-24 hours.
Production status is auto-broadcast to customers (no more 'where's my order?' calls). Vendor delivery commitments are monitored and surfaced as risk before they become problems.
The discrete job shop / make-to-order playbook
The automations that matter most
Out of the full Manufacturing catalog, these are the ones a discrete job shop / make-to-order should run first.
RFQ triage & routing
Quote-to-cash
Inbound RFQs auto-classified by part family + complexity, routed to the right estimator with prior similar quotes surfaced.
Quote drafter (with prior-similar reference)
Quote-to-cash
From RFQ + similar prior quotes + current vendor pricing + standard margin, drafts a quote response queued for estimator review.
Customer order status push
Customer service & order status
Order status events from MES (in production, in QC, packaged, shipped, delivered) auto-pushed to customer via their preferred channel.
QC disposition workflow
Quality, compliance & traceability
Discrete: failed-QC parts trigger structured disposition workflow (rework / scrap / use-as-is / vendor return) with documented decision and approver.
Vendor delivery risk monitor
Vendor & supply chain
Monitors PO commitments + vendor confirmation + carrier tracking; surfaces at-risk deliveries 5-10 days before missed receipt.
In the wild
How this actually plays out
Quote turnaround time is the most leveraged metric in a job shop.
The AI workflow: RFQ comes in via email or customer portal. AI parses the RFQ (drawings, specifications, quantity, requested delivery), classifies by part family, surfaces 3-5 prior similar quotes/jobs from history, drafts a routing based on the prior similar parts, pulls current material pricing from ERP vendor records, drafts the quote with margin per the shop's standard, and queues for estimator review. Estimator validates engineering feasibility, adjusts material/labor where appropriate, signs off in 30-45 minutes vs starting from a blank page.
A 40-employee shop typically reduces median quote turnaround 60-80% and wins 15-30% more work because they're consistently the first quote in.
Get my plant's automation map
Tell us your plant size, primary type (discrete / process / OEM / contract), and the cross-system workflow that costs you the most time. We'll come back with a written map of which 5-7 automations matter first and what the first 90 days would change.