Operational Planning
Retail

Demand Analysis & Inventory Mgmt

Re-forecasting at SKU and store level as demand moves

The challenge. Demand never follows the plan exactly: a late season, a heatwave, a style that sells out in a weekend, a promotion that misses. Most planning solutions surface stock gaps only after overnight batch loads, often in an aggregated view. By the time the organization reacts, the reorder window has closed, the hot item is out of stock and the slow one is heading for markdown.

In Vortex. Sales, stock, open orders and outside drivers such as weather are read together, as often as the business needs. Vortex flags changes in demand as they happen, re-forecasts every SKU at every location and ranks exceptions by the revenue and margin at stake. Each flagged variance triggers a decision flow: reorder, transfer, cancel, mark down, approve. There is no cube to rebuild between runs, so the next answer is always the latest one, for the entire business.

Demo specs.

  • 1.5M SKUs
  • 2,500 stores carrying 35,000 SKUs each, planned by category across 300 clusters
  • Every run holds actuals, real-time weather forecasts, the forecast, exceptions, decisions and the outlook
  • Exceptions are ranked and grouped into decision flows, with approval steps, an audit log and clean revert, all automated
Back to Use Cases

Weather, sales and the season, read together every week

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