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Territory 05 · Forecast drift early signal

Territory · Substrate signal

05Catch the 40% miss before it becomes a 40% miss.

Your words: "only when the forecasting error comes into play, we decide that, OK, what the heck is happening? There is a 40% error difference." Today: forecast lives in your existing tool. Drift surfaces post-mortem. Caddie takes your forecast as input, watches drift continuously, surfaces it before the stockout or the chargeback. Doesn't replace your forecasting tool.

In the flow you already run.

Your existing forecasting tool · output: SKU-level forecast
CADDIE · drift watcher · dynamic safety-stock + reorder-point · stockout-risk alerter
Existing forecasting platform (kept)
Sales / order actuals (real-time)
External signals (promotions, seasonality, channel mix)
Inventory + replenishment system

Your forecast is the input · not the replacement target. Caddie continuously compares forecast vs. emerging actuals and flags drift as it happens · not as a quarterly post-mortem.

The substrate.

Your conversation

"We use one of the demand forecasting system and we assume whatever it tells it is OK. And then only when the forecasting error comes into play, we decide that, OK, what the heck is happening? There is a 40% error difference."

Srini Sarangapani · Director Supply Chain (India + ASEAN)

Where we've shipped this shape

Vedanta: inventory forecasting + optimization in production. Dynamic safety-stock + reorder-point recommendations · drift detection · indentation logic. Not a replacement for the planning tool — an overlay that turns forecast output into operational signal.

Vedanta · forecasting + inventory optimization · in production

Integration-first

For customers with an existing forecasting investment, our system takes the forecast as input. The drift watcher runs against actuals + external signals · alerts before the variance becomes painful · suggests dynamic safety-stock + replenishment moves.

Integration with existing forecasting platforms

Three surfaces · here.

Forecast input ingest

Connects to your existing forecasting tool (any major platform). Pulls SKU-level + DC-level forecast. No replacement; integration only. Configurable refresh cadence.

Drift detection

Continuously compares forecast vs. actuals + external signals. Surfaces drift early. Alert thresholds are per-product-family, not blanket — high-velocity SKUs vs slow-movers carry different drift tolerances.

Dynamic safety-stock

When drift is detected, Caddie suggests dynamic safety-stock + reorder-point + replenishment moves — drafted, not auto-executed. Your buyer one-taps to approve.

Where we have shipped this shape.

Integrated

Works with whatever forecasting platform you have today · no rip-and-replace

Production

Vedanta deployment · forecasting + inventory optimization live

1 family

Wedge: one product family · 90-day historical drift backtest

Questions, fence, timeline.

  1. Which product family today carries the highest forecast variance against actuals — where the 40% miss surfaced and you wished you had seen it earlier?
  2. How does your existing forecasting tool currently handle external signals (promotions, channel mix, seasonality) — and where does that integration break?
  3. Where would a 90-day proof land — one product family's drift surface, or one DC's replenishment recommendation overlay?

We would touch

  • Drift detection above your existing forecasting tool
  • Dynamic safety-stock + reorder-point recommendations
  • External-signal integration (promo, seasonality, channel mix)
  • Stockout-risk early alerting + replenishment drafts

We would not

  • Replace your existing forecasting platform
  • Modify your sales / S&OP planning process
  • Touch the global ABP
  • Auto-execute replenishment without a buyer's one-tap approval
8-10 weeks · one product family

First family: one product family's forecast drift surface instrumented · 90-day historical backtest showing what would have triggered earlier · plus six weeks of forward-looking drift detection alongside your existing tool.

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