Manufacturing
A custom quote takes your team days. By then the buyer has moved on.
We build the quoting, order, and sales systems that get accurate numbers out the door in hours - so contract manufacturers win the work instead of losing it to slow paperwork.
The Short Answer
The manufacturing industry covers discrete and process manufacturers - including industrial equipment, components, consumer goods, food and beverage, chemicals, and contract manufacturers - that design, source, produce, and distribute physical products. Operationally it spans demand planning, configure-price-quote (CPQ) for custom and configurable products, order management, production scheduling, inventory and materials planning, supplier and distributor management, quality control, and after-sales service. AI is applied to quoting and CPQ acceleration, demand forecasting, supply-chain risk and disruption alerts, predictive maintenance, distributor performance analytics, win/loss analysis, and proactive customer order-status communication.
You Know This Problem
Sound familiar?
Quote Turnaround Time
Custom quotes take days when they should take hours. Every delay is a competitive disadvantage.
Order & Customer Data Fragmentation
Customer info, order history, and pricing live in disconnected systems. Your reps don't have the context they need to win.
Reactive Sales Process
You're waiting for customers to call in rather than proactively managing relationships and spotting reorder opportunities.
What We Build
What we build for Manufacturing
System / Agent
What It Does
Quoting Automation
Reduce quote turnaround from days to hours using AI that pulls from pricing rules and inventory data.
CRM & Sales Pipeline
A clean, connected CRM that gives your reps the context they need to close.
Order Status Agent
Proactive customer updates on order status, delays, and delivery confirmations.
Distributor Activity Tracking
Monitor distributor performance and flag underperformers automatically.
Supply Chain Alert Agent
Real-time alerts for supply disruptions, lead time changes, and shortfalls.
Win/Loss Intelligence
Automated analysis of deal patterns to improve pricing and rep performance.
Days → hours
Custom quote turnaround once the system pulls pricing and inventory
$1M+/yr
What the next 10 back-office hires cost - the default fix for slow quoting (stated assumption, ~$100K loaded each)
10-15h
Manual quoting and order admin per rep each week, redirected to selling (stated assumption)
Explore Capabilities
AI Use Cases for Manufacturing
Here's what those systems actually look like for manufacturing firms today.
AI-Powered Client Reporting for Manufacturing
Automated client reporting for manufacturing: connect ERP, MES, and quality data to delive...
AI for Proposal and Scope Generation for Manufacturing
AI proposal generation for manufacturing firms - automate scope, BOM-aligned pricing, and ...
AI Workflow Automation for Manufacturing
AI workflow automation for manufacturing: automate BOM updates, supplier onboarding, NCR r...
Automated Lead Qualification for Manufacturing
Automated lead qualification for manufacturing: stop wasting quoting capacity on buyers wh...
Client Onboarding Automation for Manufacturing
Automate client onboarding in manufacturing - from BOM review to EDI setup and supplier qu...
AI-Powered CRM-ERP Sync for Manufacturers
AI agents reconcile customer, product, and order data between your CRM and ERP-resolving t...
Show all 13 Manufacturing use casesHide additional use cases
Common Questions
Quick answers to what most manufacturing leaders ask before we kick off.
We already have an ERP. Why do we need additional infrastructure?
ERPs are built for operations, not for selling. They manage what you've already won - not what you're trying to win. Revenue systems sit upstream of your ERP and feed it cleaner, faster data.
We're a B2B manufacturer. Is AI-powered sales really relevant to us?
Yes - especially for custom quoting, reorder management, distributor relationships, and customer retention. Your sales process is more complex than most, which means there's more to automate and optimize.
How does this work with our shop floor and OT systems?
We focus on the back-office and commercial side - quoting, sales, customer service, AR/AP, RFQs. We don't replace MES or SCADA. We connect to ERP and let the floor keep running on what works.
What about our distributor and rep network?
We build self-serve quoting, order status, and lead routing for distributors and reps without forcing them onto your CRM. They get faster answers; you get visibility.
Will the AI handle our complex quoting and configurable products?
Yes - that's one of the highest-impact use cases for manufacturers. We build CPQ logic into the AI so quotes go out same-day instead of in a week.
How long until the floor sees real impact?
First commercial system in 30-60 days. Quote turnaround, RFQ throughput, and order-to-cash usually move first - typically a measurable lift inside the first quarter.
How is this priced? Per unit or per order?
No. Flat engagement. Costs don't scale with units shipped or orders processed.
We were about to hire another estimator or CSR. Why build systems instead?
Because the hire is the expensive fix, and it's the one everyone keeps pushing you toward. The AI hype machine sells you tools; your own reflex says throw a body at the backlog. Both leave you paying for the same slow process forever. Ten more back-office hires runs roughly $1M a year in loaded payroll (a stated assumption at about $100K each), plus three to six months of ramp before any of them are productive - for work a quoting and order system runs in hours, once. Your current team stays. This is about the roles you haven't posted yet. You move from staffing every bottleneck on the floor with another hire to running a plant where the system does the paperwork and your people do the judgment work - so growth stops waiting on the next req.
Ready to see this applied to your manufacturing firm?
Book a 30-minute strategy call. We'll show you exactly what we'd build.
Book a Strategy Call