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ecommerce-ops-exception-workorders

Detect evidence-backed ecommerce KPI anomalies and turn them into deduplicated human workorders. Use when a store operator needs to compare the latest product metrics with a historical baseline, find conversion, add-to-cart, refund, ROAS, or stock-cover problems, assign an owner role, and produce a review queue without changing the store automatically.

作者:暂未提供 | 来源记录:ClawHub
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V 1.0.0
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ecommerce-ops-exception-workorders

Ecommerce Operations Exception Workorders

Inputs

  • - A UTF-8 CSV with one row per date + store_id + sku.
  • A policy JSON that defines the lookback window and alert thresholds.
  • An optional previous-state JSON used to suppress already-open workorders.
  • An optional as_of date. When omitted, the newest date in the CSV is used.

Outputs

  • - summary.json: run counts, gate status, and data-quality findings.
  • INLINECODE3 and workorders.csv: prioritized evidence and owner queues.
  • INLINECODE5: normalized input used for the decision.
  • INLINECODE6: open deduplication keys for the next run.

Three-step workflow

  1. 1. Validate non-negative metrics and build a weighted historical baseline for each store and SKU.
  2. Compare the latest conversion, add-to-cart, refund, ROAS, and stock cover with policy thresholds.
  3. Merge related findings into one deterministic workorder, suppress duplicates, and wait for a human decision.

Safety boundary

This skill never logs in to a commerce platform, changes price, adjusts advertising, contacts a customer, or creates a purchase order. It only reads an exported metric table and writes local review artifacts. A human owner must verify source data and approve every business action.

Run

CODEBLOCK0

See README.md and references/operations-playbook.md for field definitions, recovery, and acceptance checks.

标签

ecommerce operations anomaly-detection workorders inventory n8n

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v1.0.0 最新 2026-8-19 03:08
初始版本(来自套餐拆分)
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