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Forecasting Blog

Demand Forecasting, Sales Planning, Big Data Analytics & IBP

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Comparison chart showing Chronos-2 forecast accuracy on airline benchmark data versus real-world business data, highlighting the gap between zero-shot performance on memorized versus unknown datasets

Chronos-2 Revisited: When Zero-Shot Forecasting Meets Real-World Data, Does the Magic Hold?

Bar chart comparing Amazon Chronos-2 forecast accuracy against Holt-Winters and SARIMA on airline passenger traffic data, showing WMAPE and Normalized RMSE metrics

Zero-Shot and Ahead of the Pack: What Amazon Chronos Taught Us About the Future of Demand Forecasting

Integrated Business Planning process connecting omni-channel demand signals across stores, marketplaces, DTC, and wholesale into a unified supply chain plan

Why Omni-Channel Without an effective IBP Is Just Expensive Chaos?

SAP IBP Heuristic vs Optimizer engine comparison for constrained supply chain planning

SAP IBP Heuristic vs Optimizer: Why Defaulting to Heuristic Is Costing Your Supply Chain

planning strategy, ibp, scenario planning, demand planning, plm mapping

Planning Strategy for New Products in SAP IBP

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Major Roadblocks to Capturing True Demand

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Global Supply Chain Challenges 2023 – Preparing For The Storm

How Zillow’s Home-Buying Business Blew Up

Managing Sales Order Deadlocks

How do you calculate True demand?

Friday, June 12, 2026

Tag: RealWorldForecasting

Chronos-2 Revisited: When Zero-Shot Forecasting Meets Real-World Data, Does the Magic Hold?
Demand Planning

Chronos-2 Revisited: When Zero-Shot Forecasting Meets Real-World Data, Does the Magic Hold?

Dr. Chockalingam June 12, 2026

In a previous post I had illustrated how Chronos 2 outperformed the standard Box Jenkins and Holt Winters forecasts from Python as well the forecasts from a popular Commercial time series forecasting … Read More

AISupplyChainAmazonChronosBoxJenkinsChronos2DemandPlanningFoundationModelsHoltWintersMAPERealWorldForecastingTimeSeriesvaltitudeZeroShotForecasting Comment on Chronos-2 Revisited: When Zero-Shot Forecasting Meets Real-World Data, Does the Magic Hold?

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