Analyze order history and SKU attributes to recommend optimal storage locations - reducing travel time and lowering pick costs.

Data on file

Slotting Analysis & Optimization

Every module starts with a date-range picker.

πŸš€ SKU Velocity

How fast each SKU moves (units/day) over a date range.

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πŸ† ABC Ranking

Classic Pareto classification (A/B/C) by Revenue, Quantity, or Picks.

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πŸ“ Cube Movement

Total storage volume & weight physically moved per SKU.

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πŸ– Pick Frequency

How often each SKU is touched, independent of quantity.

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πŸ”— Order Affinity

SKU pairs frequently ordered together (slot them near each other).

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🎯 Optimal Warehouse Location

Recommended storage zone per SKU, combining movement + size.

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πŸ“¦ Bin-Level Assignment (Capacity-Aware)

Estimates required storage cube per SKU and assigns real bin codes from your slot inventory.

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Reports & Dashboards

πŸ“‹ Orders by Status

Order line volume broken down by current order status.

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πŸ“ˆ Orders Trend by Day

Order volume over time (auto-buckets to day, week, or month based on range length).

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πŸ‘₯ Orders by Customer – Top 10

Your busiest customers in the date range, by order count or revenue.

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⏱️ Picks per Hour (PPH)

Average picking activity by hour of day (based on order timestamps).

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πŸ—ΊοΈ Orders by Warehouse Zone

Order line volume by the warehouse zone each pick came from.

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πŸ”₯ Warehouse Map – Picking Heat Map

Drill down Zone β†’ Aisle β†’ Rack β†’ Shelf β†’ Bin, color-coded by picking activity.

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