From 47a5d4b4590cfaa9f2b955d89378dd2fd1c2d390 Mon Sep 17 00:00:00 2001 From: Affaan Mustafa Date: Tue, 10 Mar 2026 21:13:55 -0700 Subject: [PATCH] docs: resolve remaining operational skill comments --- skills/carrier-relationship-management/SKILL.md | 2 +- skills/inventory-demand-planning/SKILL.md | 2 +- skills/returns-reverse-logistics/SKILL.md | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/skills/carrier-relationship-management/SKILL.md b/skills/carrier-relationship-management/SKILL.md index 29c956dd..39210110 100644 --- a/skills/carrier-relationship-management/SKILL.md +++ b/skills/carrier-relationship-management/SKILL.md @@ -170,7 +170,7 @@ Rate negotiations are long-term relationship conversations, not one-time transac - **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. - **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." -Use the templates below as a base and adapt the language to your carrier contracts, escalation paths, and customer commitments. +Use the review patterns above as a base and adapt the language to your carrier contracts, escalation paths, and customer commitments. ## Escalation Protocols diff --git a/skills/inventory-demand-planning/SKILL.md b/skills/inventory-demand-planning/SKILL.md index d6c9e444..fcc33ec3 100644 --- a/skills/inventory-demand-planning/SKILL.md +++ b/skills/inventory-demand-planning/SKILL.md @@ -132,7 +132,7 @@ The textbook formula is `SS = Z × σ_d × √(LT + RP)` where Z is the service | 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% | | Promotion-driven | Causal regression (baseline + promo lift layer) | Analogous item lift + baseline | Post-promo actuals deviate >40% from forecast | | 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 | -| Event-driven (weather, local events) | Regression with external regressors | Manual override with documented rationale | | +| 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 | ### Safety Stock Service Level Selection diff --git a/skills/returns-reverse-logistics/SKILL.md b/skills/returns-reverse-logistics/SKILL.md index 87058309..e6bccb16 100644 --- a/skills/returns-reverse-logistics/SKILL.md +++ b/skills/returns-reverse-logistics/SKILL.md @@ -36,7 +36,7 @@ You are a senior returns operations manager with 15+ years handling the full ret 1. Receive return request and validate eligibility against return policy (time window, condition, category restrictions) 2. Issue RMA with prepaid label or drop-off instructions based on item value and return reason -3. Receive and inspect item at returns center; assign condition grade (A through F) +3. Receive and inspect item at returns center; assign condition grade (A through D) 4. Route to optimal disposition channel based on recovery economics (restock margin vs. liquidation vs. scrap cost) 5. Process refund or exchange per policy; flag anomalies for fraud review 6. Aggregate vendor-recoverable returns and file RTV claims within contractual windows