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Use Case · Supply Chain

Weekly Demand & Replenishment

Abel can analyze weekly demand history, promotional calendars, and replenishment lead times to forecast demand by store and SKU.

USE CASE DEMO

Data Preparation

Every SKU at every store generates a continuous flow of operational data: unit sales, on-hand inventory, and more. Explore the signals that can inform a demand forecast.

Data readiness0/6 datasets ready
  • Unit sales by store and SKUChecking
  • Inventory on hand and on orderWaiting
  • Supplier lead times by product lineWaiting
  • Planned promotional and markdown eventsWaiting
  • Store footfall or transaction countsWaiting
  • Weekly stockout and lost-sales flagsWaiting

Application and Best Practices

  • Provide weekly unit sales by store and item, promotional and holiday calendars, supplier lead times, and inventory positions so Abel can learn normal demand patterns and seasonal and promotional effects.
  • Abel produces a four-week demand forecast with expected ranges by store and SKU, plus alerts for items likely to breach stock thresholds.
  • Demand planners use the forecast each week before releasing replenishment orders, using the expected range to size buffer quantities and reduce both stockouts and excess inventory.

Operational Value

  • Reduce stockouts on high-velocity items by planning replenishment against weekly demand ranges rather than last week’s sales alone.
  • Limit excess inventory and tied-up working capital by trimming buffers where demand is consistently lower than current stocking rules assume.
  • Cut manual review time by focusing planner attention on the items with the widest expected demand ranges and nearest stockout risk.