Product 2 of 4 · Pilot phase

Price jobs right the first time.

Pull historical job cost data into every quote. Stop pricing on gut feel. Respond in hours, not days. Protect margin before the job even starts.

Connects to your existing ERP · Historical data from day one
Quote Intelligence Engine
AI-assisted
Incoming RFQ · Delta Components
Job typeCustom fabrication · 240 units
Estimated value$54,000
Received2 hours ago
AI Suggestion · 12 Similar Jobs
Suggested margin31.4%
Historical avg (Delta)29.8%
Comparable job range$48K – $62K
Confidence scoreHigh (94%)
Recent similar jobs
Delta Components · Nov 202532.1%
Delta Components · Aug 202528.4%
Gulf Coast · Custom fab33.2%
3-5 days Average quote cycle time for contract manufacturers without automation
22% Of jobs are priced below target margin due to gut-feel quoting
6.2 pts Average margin improvement on new quotes after Quote Intelligence deployment
3x faster Response time improvement seen across pilot customers using the engine
What it does

Three problems. One engine.

Quote Intelligence fixes the three root causes of margin leakage that start before a job even opens: wrong price, slow response, and no historical context.

Historical job cost lookup
Delta Components · Nov 2025
Custom fab · 220 units · $51,200
32.1%
Delta Components · Aug 2025
Custom fab · 180 units · $43,800
28.4%
Gulf Coast Mfg · Oct 2025
Similar spec · 260 units · $63,400
33.2%
Lone Star Parts · Sep 2025
Custom fab · 200 units · $48,600
19.8%
Suggested: 31.4% margin · Based on 12 comparable jobs · Confidence: 94%
Capability 1

Every quote backed by historical data

When a new RFQ comes in, the engine searches your historical job data for similar jobs. Same customer, same job type, same material category. It surfaces what you actually delivered at, not what you hoped for.

This is the difference between pricing on gut feel and pricing on evidence. The engine does not replace your judgment. It informs it with data you already have but cannot easily access.

Instant lookup across your job historyPulls from ERP data. Every job you have ever run becomes a reference point.
Confidence score based on match qualityMore similar jobs in history equals higher confidence in the suggestion.
Flags outliers in the comparison setShows you the jobs that underperformed and why, so you do not repeat them.
Quote response comparison
Without QI
Response time3-5 days
Data usedGut feel
Avg margin hit-22%
With QI
Response timeUnder 4 hrs
Data used12 comps
Avg margin+6.2%
1
RFQ received
0 minutes
Engine pulls customer history and comparable jobs automatically.
2
AI suggestion generated
Under 2 minutes
Margin suggestion with confidence score, comparable jobs, and risk flags.
3
Quote sent to customer
Under 4 hours
Rep reviews, adjusts if needed, sends. 3x faster than manual process.
Capability 2

Respond in hours. Not days.

The average contract manufacturer takes 3 to 5 days to respond to an RFQ. Competitors using AI-assisted quoting are responding in hours. The deals you are losing to slow response time are invisible to you.

Quote Intelligence cuts response time without cutting accuracy. The rep still reviews and sends. The engine just does the research work in seconds instead of hours.

From RFQ to draft quote in under 2 minutesHistorical lookup, margin suggestion, and risk flags generated instantly.
Rep reviews and approves before sendingThe engine assists. The human decides. Always.
Win rate improvement on time-sensitive RFQsCustomers who get a fast accurate quote choose you more often.
Margin protection flags
Risk flag · Lone Star Parts
Proposed margin is 8 points below historical average for this customer. Last 3 jobs with Lone Star averaged 19.8% realized vs 27% quoted.
Watch flag · Material cost variance
Steel input cost up 12% since last similar job. Quoted price may not reflect current material cost. Recommend adding 2 to 3 points to margin.
Confirmed · Delta Components
Proposed margin of 31.4% aligns with 12 comparable jobs. Customer history supports this price point. Safe to proceed.
Capability 3

Flags before you send. Not after you deliver.

The engine does not just suggest a margin. It flags risk before the quote goes out. Customers with a history of margin erosion get a warning. Material cost changes get surfaced. Jobs priced below comparable history get a review prompt.

This is where the margin is protected at the source. Not patched at month-end when it is already gone.

Customer risk flag based on margin historyWarns when a customer has a pattern of realized margin below quoted.
Material cost variance detectionSurfaces input cost changes since the last comparable job was priced.
Below-history margin promptIf the proposed margin is below comparable jobs, the rep gets a review prompt before sending.

No rip-and-replace required

Pulls historical data from your existing ERP

Prophet 21 (P21) NetSuite SAP Epicor Microsoft Dynamics + More
Expected outcomes

What changes in the first 60 days.

Based on pilot results with contract manufacturers using the Quote Intelligence Engine.

3x faster

Average improvement in quote response time from days to hours after deployment.

+6.2%

Average margin improvement on new quotes after Quote Intelligence deployment in pilot.

40%

Reduction in below-target margin jobs after risk flag system is active for 30 days.

"
★★★★★

The audit identified $190K in leakage we had no idea existed. After the pilot, our quote accuracy improved by 6 points on average. We stopped losing deals on speed and stopped losing margin on price. Both problems, one system.

CF
CFO / Controller
Industrial Distributor · San Antonio, TX · 140 employees
Secure by Design
Read-only ERP connection
Your data stays yours
No public model training
Full audit trail
Get started

See what your quotes should actually cost.

Start with the free audit. See your margin leakage in real dollars. Decide if Quote Intelligence is the right fix before committing to anything.

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