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abc-xyz-segmentation

Prix non confirmé★ 20 Stars GitHubRegistre mis à jour · 13 oct. 2026agent-skill

Vue d’ensemble

Segment a SKU portfolio on value (ABC) and demand variability (XYZ), produce the 9-box with a planning policy per cell, and reallocate planner attention accordingly. Use when the user mentions ABC analysis, inventory segmentation, SKU rationalization, stok segmentasyonu, envanter sınıflandırma, or asks which items deserve forecasting effort. Differentiator - ABC alone is treated as half an answer; policy lives in the value x variability combination.

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ABC-XYZ Segmentation

Value tells you where the money is. Variability tells you whether forecasting, buffering or restructuring can work. Never output a classification without the policy consequences.

Required data

Per-SKU demand history (sku, period, qty) covering 12+ periods, plus unit value (unit_price or cost). Without unit value, ABC degrades to a volume ranking - say so and ask for prices before presenting conclusions about money.

Workflow

ABC on annual value. Rank by annual consumption value; cumulative 80% = A, next 15% = B, rest = C. Report the actual concentration found (e.g. "15 SKUs = 80%"), not the folklore 20/80.
XYZ on variability. CV = std/mean of period demand per SKU. Defaults: X < 0.5, Y 0.5-1.0, Z >= 1.0. These are conventions - check the CV histogram for natural breaks and state the thresholds used. SKUs with structural zero periods (intermittent) belong in Z regardless of CV arithmetic; mean-based CV understates their risk.
Build the 9-box with SKU counts AND value share per cell. Value share is what makes managers act.
Attach the policy per cell (adapt wording to context):
- A-X: tight forecasting pays; low buffer, frequent review, automate replenishment
- A-Y: forecast + healthy buffer; investigate variability drivers
- A-Z: do not chase forecasts - strategic buffer, lead-time negotiation, or make-to-order
- B-X / C-X: min-max autopilot; withdraw planner attention
- B-Z: buffer or longer promise dates; check if variability is self-inflicted (promotions, batching)
- C-Z: rationalization shortlist - kill, consolidate, or on-demand sourcing
Name the reallocation. The deliverable is planner-hours and buffer money moving between cells - state explicitly which cells gain and lose attention.
Validate. Sum of cell value shares must equal 100%; spot-check two SKUs' classifications against their raw series before presenting.

Pitfalls to check explicitly

ABC computed on quantity while unit values vary 10x+ ranks the wrong items.
Self-inflicted variability (order batching, month-end pushes, promotions) shows up as Z; flag it as a process fix, not a demand fact.
Classifications rot - recommend re-running quarterly and tracking cell migrations.
A dominant "C-Z is 60% of SKUs" finding usually signals assortment bloat, not a planning problem.

Output format

The 9-box (counts + value share per cell)
Policy table per occupied cell
Attention-reallocation paragraph (from where, to where)
Rationalization shortlist (top C-Z items by holding cost or shelf age, if data allows)

Worked example including a safety-stock stress test: https://github.com/gulmezeren2-byte/abc-xyz-inventory

Source: industrial-engineering-ai-skills by Eren Gulmez (MIT). The full method pack - entry skill, role agents, data-hygiene rules and artifact templates - lives there.

Voir la source ↗

Métadonnées du fichier

name: abc-xyz-segmentation
description: Segment a SKU portfolio on value (ABC) and demand variability (XYZ), produce the 9-box with a planning policy per cell, and reallocate planner attention accordingly. Use when the user mentions ABC analysis, inventory segmentation, SKU rationalization, stok segmentasyonu, envanter sınıflandırma, or asks which items deserve forecasting effort. Differentiator - ABC alone is treated as half an answer; policy lives in the value x variability combination.

Voir le texte original

---
name: abc-xyz-segmentation
description: Segment a SKU portfolio on value (ABC) and demand variability (XYZ), produce the 9-box with a planning policy per cell, and reallocate planner attention accordingly. Use when the user mentions ABC analysis, inventory segmentation, SKU rationalization, stok segmentasyonu, envanter sınıflandırma, or asks which items deserve forecasting effort. Differentiator - ABC alone is treated as half an answer; policy lives in the value x variability combination.
---

# ABC-XYZ Segmentation

Value tells you where the money is. Variability tells you whether forecasting, buffering or restructuring can work. Never output a classification without the policy consequences.

## Required data

Per-SKU demand history (`sku`, `period`, `qty`) covering 12+ periods, plus unit value (`unit_price` or cost). Without unit value, ABC degrades to a volume ranking - say so and ask for prices before presenting conclusions about money.

## Workflow

1. **ABC on annual value.** Rank by annual consumption value; cumulative 80% = A, next 15% = B, rest = C. Report the actual concentration found (e.g. "15 SKUs = 80%"), not the folklore 20/80.
2. **XYZ on variability.** CV = std/mean of period demand per SKU. Defaults: X < 0.5, Y 0.5-1.0, Z >= 1.0. These are conventions - check the CV histogram for natural breaks and state the thresholds used. SKUs with structural zero periods (intermittent) belong in Z regardless of CV arithmetic; mean-based CV understates their risk.
3. **Build the 9-box** with SKU counts AND value share per cell. Value share is what makes managers act.
4. **Attach the policy per cell** (adapt wording to context):
- A-X: tight forecasting pays; low buffer, frequent review, automate replenishment
- A-Y: forecast + healthy buffer; investigate variability drivers
- A-Z: do not chase forecasts - strategic buffer, lead-time negotiation, or make-to-order
- B-X / C-X: min-max autopilot; withdraw planner attention
- B-Z: buffer or longer promise dates; check if variability is self-inflicted (promotions, batching)
- C-Z: rationalization shortlist - kill, consolidate, or on-demand sourcing
5. **Name the reallocation.** The deliverable is planner-hours and buffer money moving between cells - state explicitly which cells gain and lose attention.
6. **Validate.** Sum of cell value shares must equal 100%; spot-check two SKUs' classifications against their raw series before presenting.

## Pitfalls to check explicitly

- ABC computed on quantity while unit values vary 10x+ ranks the wrong items.
- Self-inflicted variability (order batching, month-end pushes, promotions) shows up as Z; flag it as a process fix, not a demand fact.
- Classifications rot - recommend re-running quarterly and tracking cell migrations.
- A dominant "C-Z is 60% of SKUs" finding usually signals assortment bloat, not a planning problem.

## Output format

1. The 9-box (counts + value share per cell)
2. Policy table per occupied cell
3. Attention-reallocation paragraph (from where, to where)
4. Rationalization shortlist (top C-Z items by holding cost or shelf age, if data allows)

Worked example including a safety-stock stress test: https://github.com/gulmezeren2-byte/abc-xyz-inventory

---

Source: [industrial-engineering-ai-skills](https://github.com/gulmezeren2-byte/industrial-engineering-ai-skills) by Eren Gulmez (MIT). The full method pack - entry skill, role agents, data-hygiene rules and artifact templates - lives there.

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Licence: MIT
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Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Financial research output is not financial advice; require human review before any live investment decision
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
Low GitHub adoption signal
L’approbation de revue IA est absente
Financial research output is not financial advice; require human review before any live investment decision.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
GitHub adoption: 20 GitHub stars
Stars/forks activity: 20 stars, 4 forks; issue activity unavailable in current metadata
Review status: AI review approval is missing

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Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
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3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéContrôle statique

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: aicodedecode/awesome-muse-skills
Licence: MIT
Version: Unknown
Dernier push GitHub: 10 oct. 2026
Registre mis à jour: 13 oct. 2026
Chemin des instructions: skills-imported/abc-xyz-segmentation/SKILL.md @ faf37c0859eb

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

54/100

Revue nécessaire

Confiance

67/100

Sandbox uniquement

Audit

76/100

Risqué

Ouvrir l’audit complet Voir le rapport d’évaluation

Financial research output is not financial advice; require human review before any live investment decision
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
Low GitHub adoption signal
L’approbation de revue IA est absente
Financial research output is not financial advice; require human review before any live investment decision.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
GitHub adoption: 20 GitHub stars
Stars/forks activity: 20 stars, 4 forks; issue activity unavailable in current metadata
Review status: AI review approval is missing

Verified installs: —
Résultats: —

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Plus de détails

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    "api": "https://www.openagentskill.com/api/agent/skills/aicodedecode-abc-xyz-segmentation",
    "audit": "https://www.openagentskill.com/skills/aicodedecode-abc-xyz-segmentation/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=aicodedecode-abc-xyz-segmentation&task=Use%20abc-xyz-segmentation%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20abc-xyz-segmentation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20abc-xyz-segmentation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/aicodedecode-abc-xyz-segmentation/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/aicodedecode-abc-xyz-segmentation"
  }
}

Pour le créateur

Source de la fiche

Indexé par Registry

Revendiable

Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: aicodedecode
Source: aicodedecode/awesome-muse-skills
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

Revendiquer ce skill

Revendication du propriétaire

Revendiquer cette fiche de skill

Cette fiche Indexé par Registry est attribuée à aicodedecode, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/aicodedecode-abc-xyz-segmentation?metric=listed&label=Listed)](https://www.openagentskill.com/skills/aicodedecode-abc-xyz-segmentation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/aicodedecode-abc-xyz-segmentation?metric=trust&label=Trust)](https://www.openagentskill.com/skills/aicodedecode-abc-xyz-segmentation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/aicodedecode-abc-xyz-segmentation?metric=audit&label=Audit)](https://www.openagentskill.com/skills/aicodedecode-abc-xyz-segmentation/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/aicodedecode-abc-xyz-segmentation?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/aicodedecode-abc-xyz-segmentation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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