Replace Gut Feel with Measurable, Multi-Factor Performance Data
In glass, ceramic, and refractory distribution, no vendor performs equally across SKUs, geographies, and timelines. Yet many procurement teams rely on spreadsheet scoring or anecdotal feedback to evaluate suppliers. AI-powered scoring systems now enable smart, dynamic vendor comparisons—factoring in delivery, price, quality, service, and risk in real time.
Why Manual Vendor Comparison Fails
Weights are subjective
Fill rate snapshots don’t show trends
Performance is rarely tied to product category
Soft data (service quality, claim handling) is hard to capture
Annual reviews are too slow to catch real-time risk
What AI Scoring Delivers
AI vendor scoring pulls data from:
Fulfillment logs (on-time, fill %, lead time variance)
PO history (accuracy, responsiveness, SLA match)
Claims and nonconformance rates
Freight cost per lane or SKU
Field feedback or ticketing behavior
Cost variability vs. contract pricing
Scores are dynamic and can be weighted by product category, geography, or risk level.
Example: Refractory Castables Sourcing
A distributor using three castable vendors discovered that one performed best on standard mixes, while another excelled on fast-set formulations. The AI scoring tool broke down results by SKU group and delivery lane—resulting in smarter sourcing decisions that increased service level and reduced claim frequency by 21%.
Make Procurement a Data-Driven Advantage
With AI vendor scoring, procurement teams move from reactive to strategic—choosing suppliers based on live performance, not last year’s spreadsheet.
