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Retail & Supply Chain

Demand forecasting and inventory intelligence for multi-format retailers — where the long tail of the catalog quietly ties up working capital and planners stop trusting the system.

Retail worker carrying stacked boxes past a clothing railForecasts that respect the long tail.

The challenge

What slows retail teams down.

The operating problems we hear most often — and design around first.

01 / 04

Long-tail SKUs default to safety stock

Sparse sellers get rounded up year after year, so the warehouse is overstocked on the same items stores run out of.

02 / 04

Signals get averaged out

Weather, promotions, regional events and macro conditions move demand, but flat models can’t attribute them.

03 / 04

Forecasts that disagree with themselves

Store, category and chain numbers don’t reconcile, so no single level can be trusted for planning.

04 / 04

Planners override by gut feel

When a model has been a black box for years, category managers stop using it — and move the bias around.

How Insignia helps

Technology shaped around how retail really works.

Connected capabilities, applied where they create the most value for this sector.

  • Hierarchical demand forecasting
  • Causal signals: weather, promo, events, macro
  • Per-SKU drift detection & retraining
  • Constraint-aware order recommendations
  • Inventory and working-capital reporting
Explore our services

Case files

Engagements filed in this sector.

Case / 2025.04 · Shipped

Aisle 19

Hierarchical demand forecasting, long-tail SKUs

A forecast that respects the shape of the catalog — fast-movers learn from themselves, the long tail borrows strength from its category and region.

−18% inventory holding · forecast variance halved on long-tail SKUs.

Open case file
Retail worker carrying stacked boxes past a clothing rail

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Other industries we serve.

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