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Fabrik Analytics™
Operations, stock and supply

Stock that runs out on purpose, not by surprise.

Weeks of cover by size, reorder quantities within lead time and minimums, stock changes on the timeline and integrations that say when they fail.

Products by size: bought against sold for each size, and the selling lines with gaps in their size run, for Fellwick, an example brand.

What this team gets on its list

  • Reorder before cover runs under lead timeReorder planning
  • Replace a key size that sold outKey sizes out of stock
  • Clear stock that has stopped movingDead stock
  • Fix a feed that is late or failingData checks

Questions this team asks every week

  • Which sizes run out before the next delivery lands?
  • What do we reorder, and how many, within lead time and minimum order?
  • How much cash is tied up in stock that has stopped moving?
  • Did every feed sync last night?

The numbers this team runs on

  • Weeks of cover by size

    Cover on the recent rate of sale, for every size of every product.

  • Lead time and minimum order

    Supplier constraints applied to every reorder suggestion.

  • Dead stock value

    Cash tied up in units that stopped moving, at cost and at retail.

  • Stock on the timeline

    Stock changes sit on the same line as sales, ads and sends.

  • Connection checks

    Every integration tested hourly, and sync history per platform.

  • Return rate against category

    Products returning well above their category's norm.

How are stock changes recorded?

Stock is read with every sync and put on the timeline when it changes; stock value is snapshotted every night.

Every other team is on the same numbers

See your own numbers, team by team.

A 30-minute walkthrough on your store's data, with a straight answer on fit.