Poor Quoting Data Leading to Bad Profit Decisions
Definition
Lack of accurate, real-time data in quoting causes flawed cost/profit estimates, risking unprofitable bids in custom metalworking machinery. Manual processes fail to account for dynamic variables, leading to acceptance of loss-making jobs. Industry-wide without ERP/CPQ.
Key Findings
- Financial Impact: Reduced margins per quoted job
- Frequency: Monthly
- Root Cause: Outdated or incomplete data on costs, capacity, and machine performance in manual quoting.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Metalworking Machinery Manufacturing.
Affected Stakeholders
Executives, Sales managers, Quoting leads
Deep Analysis (Premium)
Financial Impact
$10,000-$30,000 per aerospace tooling job • $15,000-$60,000 per defense tooling contract • $3,000-$8,000 margin erosion per distributor tool
Current Workarounds
Excel shared via email between shops • Excel with certified material cost manuals • Excel with distributor margin formulas
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Slow and Inaccurate Quoting Causing Idle Resources
Underquoting Leading to Production Losses
Delayed Quotes Leading to Lost Deals
Incorrect Pricing and Configuration Errors in Quoting
Robotic Calibration Time in Automated Assembly
Costly Rework and Late Defect Discovery in Calibration
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