Analysis / Supply chain and inventory
Segment inventory by value and demand variability
Classify SKUs by consumption value and demand variability, identify seasonal or sparse history exceptions, and prepare replenishment policy options.
Inventory planner · Operations manager
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Your starting prompt.
Classify [SKUs] using [ABC value thresholds] and [XYZ demand variability rules] over [period]. Calculate consumption value, demand variability and each item contribution to inventory value, preserving zero demand periods. Show items affected by sparse history, stockouts or seasonality. Produce a segment policy review table with candidate replenishment approaches; do not treat classification as a universal service policy or suppress exceptions.
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Method and review
Keep the assumptions visible.
Align SKUs, locations, units and dated demand. Show lead-time and service-level assumptions, and flag missing or stale inventory rather than inventing stock availability.
For this task, check
Classification thresholds and period choice can change categories, especially for seasonal or sparse demand.
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Before you begin
- Bring exports you are allowed to upload, or data your Workspace can already query.
- Choose the reporting period and agree what each record represents.
Work with permitted files or queryable data. Verify the result against the original records.
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Make it your investigation.
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