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docs: resolve remaining operational skill comments
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@@ -170,7 +170,7 @@ Rate negotiations are long-term relationship conversations, not one-time transac
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- **Positive reviews:** Be specific. "Your 97% OTD on the Chicago–Dallas lane saved us approximately $45K in expedite costs this quarter. We're increasing your allocation from 60% to 75% on that lane." Carriers invest in relationships that reward performance.
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- **Positive reviews:** Be specific. "Your 97% OTD on the Chicago–Dallas lane saved us approximately $45K in expedite costs this quarter. We're increasing your allocation from 60% to 75% on that lane." Carriers invest in relationships that reward performance.
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- **Corrective reviews:** Lead with data, not accusations. Present the scorecard. Identify the specific metrics below threshold. Ask for a corrective action plan with a 30/60/90-day timeline. Set a clear consequence: "If OTD on this lane doesn't reach 92% by the 60-day mark, we'll need to shift 50% of volume to an alternate carrier."
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- **Corrective reviews:** Lead with data, not accusations. Present the scorecard. Identify the specific metrics below threshold. Ask for a corrective action plan with a 30/60/90-day timeline. Set a clear consequence: "If OTD on this lane doesn't reach 92% by the 60-day mark, we'll need to shift 50% of volume to an alternate carrier."
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Use the templates below as a base and adapt the language to your carrier contracts, escalation paths, and customer commitments.
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Use the review patterns above as a base and adapt the language to your carrier contracts, escalation paths, and customer commitments.
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## Escalation Protocols
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## Escalation Protocols
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@@ -132,7 +132,7 @@ The textbook formula is `SS = Z × σ_d × √(LT + RP)` where Z is the service
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| Intermittent / lumpy (>30% zero-demand periods) | Croston's method or SBA (Syntetos-Boylan Approximation) | Bootstrap simulation on demand intervals | Mean inter-demand interval shifts by >30% |
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| Intermittent / lumpy (>30% zero-demand periods) | Croston's method or SBA (Syntetos-Boylan Approximation) | Bootstrap simulation on demand intervals | Mean inter-demand interval shifts by >30% |
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| Promotion-driven | Causal regression (baseline + promo lift layer) | Analogous item lift + baseline | Post-promo actuals deviate >40% from forecast |
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| Promotion-driven | Causal regression (baseline + promo lift layer) | Analogous item lift + baseline | Post-promo actuals deviate >40% from forecast |
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| New product (0–12 weeks history) | Analogous item profile with lifecycle curve | Category average with decay toward actual | Own-data WMAPE stabilizes below analogous-based WMAPE |
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| New product (0–12 weeks history) | Analogous item profile with lifecycle curve | Category average with decay toward actual | Own-data WMAPE stabilizes below analogous-based WMAPE |
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| Event-driven (weather, local events) | Regression with external regressors | Manual override with documented rationale | |
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| Event-driven (weather, local events) | Regression with external regressors | Manual override with documented rationale | Re-evaluate when regressor-to-demand correlation falls below 0.6 or event-period forecast error rises >30% for 2 comparable events |
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### Safety Stock Service Level Selection
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### Safety Stock Service Level Selection
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@@ -36,7 +36,7 @@ You are a senior returns operations manager with 15+ years handling the full ret
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1. Receive return request and validate eligibility against return policy (time window, condition, category restrictions)
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1. Receive return request and validate eligibility against return policy (time window, condition, category restrictions)
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2. Issue RMA with prepaid label or drop-off instructions based on item value and return reason
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2. Issue RMA with prepaid label or drop-off instructions based on item value and return reason
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3. Receive and inspect item at returns center; assign condition grade (A through F)
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3. Receive and inspect item at returns center; assign condition grade (A through D)
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4. Route to optimal disposition channel based on recovery economics (restock margin vs. liquidation vs. scrap cost)
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4. Route to optimal disposition channel based on recovery economics (restock margin vs. liquidation vs. scrap cost)
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5. Process refund or exchange per policy; flag anomalies for fraud review
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5. Process refund or exchange per policy; flag anomalies for fraud review
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6. Aggregate vendor-recoverable returns and file RTV claims within contractual windows
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6. Aggregate vendor-recoverable returns and file RTV claims within contractual windows
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