Trends

Volume, productivity, and operational patterns over time. Per-client trends → · Cockpit

Orders shipped MTD
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Units shipped MTD
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Packages shipped MTD
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GMV MTD
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Volume trend — last 90 days

Daily orders + units + packages with 7-day rolling average overlay.

D2C productivity (OPH/UPH/PPH) — last 90 days

Outbound labor hours (labor system: D2C + B2B fulfillment) ÷ output. Higher is better.

No labor data in range.

SKU concentration (Pareto, 30 days)

How few SKUs drive 80% of volume. Higher concentration = bigger reslotting win.

Order shape (last 60 days)

SKUs per order. Most orders are single-SKU; the long tail drives pick complexity.

Activity by hour (last 30 days, CT)

Inventory movements per hour per zone. Drives staffing decisions.

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Peak: 1 movements/hr

Day-of-week pattern (last 90 days)

Activity intensity by weekday. Inform shift scheduling.

Returns trend

Weekly returns count (last 180 days) + top return clients (last 30 days).