Case StudyEngineering Goods
Engineering Goods: Reducing vendor variability at scale
An engineering manufacturer improved delivery predictability using RFQ scoring and vendor performance intelligence.
15 Apr 20261 min readBy AICAN Customer Team

Engineering Goods | Vendor inconsistency caused unstable lead times
An engineering manufacturer improved delivery predictability using RFQ scoring and vendor performance intelligence.
The Reality
- RFQ comparisons were manually tracked with delayed visibility.
- Past performance did not influence live award decisions.
- Late supplier commitments disrupted weekly production slots.
The Cost
- Planning turbulence and frequent purchase escalation.
- Higher emergency buy costs and quality compromise risk.
- Lost throughput due to late material availability.
The Fix
Digitize
- Standardized RFQ workflows with structured response capture.
- Recorded lead-time, quality, and price variance per vendor.
- Linked vendor commitments to production requirement dates.
Optimize
- Built weighted vendor scoring for procurement decisions.
- Enabled early-warning for at-risk material lines.
- Created procurement-to-planning shared exception boards.
Scale
- Automated preferred vendor suggestions per category.
- Triggered follow-ups for delayed confirmations.
- Applied vendor scorecards in quarterly review governance.
The Result
Before: Supplier decisions were reactive and memory-driven.
After: Vendor selection became data-backed, improving reliability and reducing firefighting.
Digitize what you have. Optimize what you can see. Scale what you have earned.
