Continuously monitors supplier performance across quality, delivery, cost, and responsivenessβdetecting issues early, scoring suppliers objectively, and triggering corrective actions before problems impact your operations. All on your infrastructure.
"Our 'strategic' supplier had been declining for 8 months. On-time delivery dropped from 96% to 72%. Quality rejects tripled. Response times went from hours to days. All the data existedβin different systems, owned by different teams. Nobody connected the dots. When they finally missed a critical shipment and shut down our line for 3 days, everyone asked: 'How did we not see this coming?' We had the data. We just weren't looking at it."
β VP of Operations, Automotive Tier 1 Supplier ($600M revenue)
Deploy an AI that continuously monitors supplier performance across all dimensions, detects declining trends early, and triggers corrective actions before problems impact your operations.
Aggregates performance data from ERP, QMS, logistics, and communications in real-time. Unified supplier scorecard updated automatically. No manual data gathering.
Detects declining trends, pattern anomalies, and risk indicators weeks before they become crises. Alerts the right people with context and recommended actions.
Triggers corrective action workflows: supplier meetings, SCAR requests, development plans, or escalation to re-sourcing. Problems addressed while still fixable.
Defect rates, PPM, first-pass yield, escape rates, customer complaints traced to supplier.
On-time percentage, lead time accuracy, fill rates, partial shipments, expedites required.
Price variance, total cost of ownership, hidden costs, warranty claims, rework expenses.
Quote turnaround, issue resolution time, communication quality, flexibility on changes.
Certification status, audit scores, documentation accuracy, regulatory adherence.
SCAR closure rate, corrective action effectiveness, continuous improvement initiatives.
Value engineering proposals, cost reduction ideas, technology roadmap alignment.
Financial health, geographic exposure, single-source status, capacity utilization.
Supplier on-time delivery dropped from 96% to 91% over 4 weeks. Old process: noticed at quarterly review, by then it's 72% and production is impacted. New process: alert triggered at 93%, root cause identified, corrective action in progress.
"Performance alert: Precision Dynamics LLC. Metric: On-time delivery. Current: 91% (was 96% four weeks ago). Trend: Declining 1.2% per week. Threshold breached: Warning at 93%. Root cause analysis: Cross-referencing with supplier data. Findings: (1) Lead time increased 5β7 days starting Nov 15. (2) Three partial shipments in past two weeks (unusual pattern). (3) Their Q3 earnings call mentioned 'significant new customer onboarding.' (4) Your order volumes unchanged. Hypothesis: Capacity constraints from new business causing delays to existing customers. Recommended actions: (1) Schedule supplier review meeting within 7 days. (2) Request capacity allocation commitment. (3) Identify backup supplier for critical parts. (4) Consider increasing safety stock temporarily. Meeting request drafted. Awaiting approval to send."
Individual defect rates looked acceptable. Each part at 0.8%, 0.9%, 1.1%βall under the 1.5% threshold. But agent detected a pattern: all three parts from the same supplier, same production line, same shift. Systemic issue emerging.
"Quality pattern alert: GlobalMach Taiwan. Finding: Individual part defect rates within tolerance, but correlated pattern detected. Parts affected: GM-4521 (0.8% β 1.1%), GM-4522 (0.7% β 0.9%), GM-4523 (0.9% β 1.1%). Common factors: All from Building 2, Line 3, Night shift. All dimension-related defects (not material or finish). Pattern started: November 12 (3 weeks ago). Trend: All three worsening at similar rate. Hypothesis: Machine calibration drift or tooling wear on shared equipment. If pattern continues: Combined defect rate will exceed threshold in 4-6 weeks. Individual parts mask systemic issue. Recommended actions: (1) Request tooling/calibration verification for Line 3. (2) Pull samples from recent shipments for detailed inspection. (3) Schedule virtual process audit. SCAR drafted, pending review."
Supplier scored 91 last year. This year: 76. Quality fine, delivery fine, but responsiveness collapsed and costs crept up. No single failure, but cumulative decline. Time for consequences.
"Tier change recommendation: MechPro Industries. Current tier: Strategic (requires 85+ score). Current score: 76 (down from 91). Decline analysis: Quality: 98.5% (stable, meets expectations). Delivery: 94% (stable, meets expectations). Responsiveness: 2.1 days avg response (was 0.5 days, -75%). Cost: +4.2% price increases vs. 1.8% market (unjustified). Innovation: Zero value engineering proposals in 12 months (was 4/year). Pattern: Supplier has grown significantly, appears to be deprioritizing our business. Our spend: $1.2M (was 8% of their revenue, now 3%). Recommendation: Downgrade to 'Approved' tier. Actions triggered by downgrade: (1) Remove from new product development consideration. (2) Reduce sole-source categories. (3) Initiate qualification of alternative suppliers. (4) Schedule executive-level relationship review. Notification letter drafted. 90-day improvement plan template attached."
Quarterly business review with strategic supplier tomorrow. Normally: 4 hours gathering data from 6 systems, building slides, chasing down stakeholders. Now: comprehensive scorecard and talking points ready instantly.
"QBR package generated: Precision Dynamics LLC. Executive summary: Overall score 84 (+3 vs. last quarter). Trending positive. One active concern (delivery). Performance highlights: Quality: 99.2% (exceptional, 0.8% rejects). Best quarter in 2 years. Responsiveness: 4.2 hours (improved 40% after new account manager). Cost: Held pricing despite market +3%. Saved $47K vs. alternatives. Areas for discussion: Delivery: 87% (declined from 94%). Root cause: Capacity allocation. Needs commitment. Lead times: Increased 5β7 days. Impacting our planning. Benchmarks: Ranked #3 of 12 suppliers in category. Above average on quality, below on delivery. Historical context: 5-year relationship. $8.4M cumulative spend. 3 successful new product launches together. Talking points prepared. Improvement plan template attached. Slide deck generated (12 slides). Time to generate: 10 minutes."
Aggregates data from ERP, QMS, logistics, and communications. Single source of truth for each supplier.
Identifies declining performance patterns weeks before they become critical. Early warning alerts.
Tracks financial health, news alerts, and external risk factors. Continuous supplier risk assessment.
Automated tier assignments based on performance. Clear criteria and consequences for each level.
Generates corrective action requests, tracks closure, measures effectiveness of improvements.
Cross-references data sources to identify underlying causes of performance issues.
Generates quarterly business review packages with scorecards, trends, and talking points.
Compares suppliers within categories. Identifies best-in-class and underperformers.
Notifies right people based on issue type and severity. Customizable escalation paths.
Reports to: Procurement / Supply Chain
Availability: 24/7 (continuous monitoring)
Scope: All active suppliers
Complete specification including KPI definitions, scoring methodology, and tier criteria.
Download .docxConnect your ERP and QMS, configure KPI weights, and define tier thresholds for your supplier base.
Pay once. Own the asset. Full source code on Google ADK. Deploy, modify, extend.
All supplier data, scorecards, and analytics never leave your infrastructure.
New KPI patterns, integration updates, and analytics improvements. You own agents; you subscribe to safety.
Configure KPI weights, tier thresholds, and alert triggers for your supply base.
Deploy the Supplier Performance Agent on your infrastructure. Real-time monitoring. Early warning. Proactive action.
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