Predict what each SKU will sell, before it sells out.

GVANSH forecasts demand at the level of the individual SKU, using the same real-time sales data that powers your sync. No spreadsheets, no gut-feel reorder guesses.

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What signals feed the forecast

A forecast is only as good as the signals behind it. GVANSH reads three that matter most, then weighs them per SKU rather than applying one blanket rule to your whole catalogue.

Sales velocity: how fast the SKU is actually moving, across every channel, right now.
Seasonality: repeating patterns tied to the calendar, learned from the SKU's own history.
Trend: whether demand is accelerating or fading, so a rising SKU is not treated like a flat one.

A worked example, end to end

Take SKU GV-AC-1120. Over the last eight weeks it averaged 42 units a week, with a steady climb of about 6% week over week and a reliable weekend lift. The forecast blends those into an expected 47 units for the coming week, then sizes a safety margin from how variable the past weeks were.

That expected figure is exactly what the reorder engine reads next. The forecast is not a report you file away, it is the input that decides when the next purchase order drafts.

Why per-SKU matters

Your catalogue is not one behaviour, so it is not one rule.

Fast movers

High-velocity SKUs get tighter, more frequent forecasts so they never quietly run dry.

Seasonal lines

Calendar patterns are learned per SKU, so peaks are anticipated instead of chased.

Slow movers

Low-velocity SKUs avoid over-ordering, keeping cash out of shelves that turn slowly.

Forecast the whole catalogue, one SKU at a time.

Start a free trial and see a forecast built from your own sales velocity.

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