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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

true-demand

Major Roadblocks to Capturing True Demand

supply-chain-challenges-2023-valtitude

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?

Tuesday, June 23, 2026
Forecasting

Forecast Alerts

Dr. Chockalingam August 20, 2009

Alerts are important. But more important is an understanding of the business to set reasonable thresholds and the mathematical common sense to use relative measures for alerting.

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Tracking Signal
Forecasting Metrics and Diagnostics

Tracking Signal

Dr. Chockalingam August 6, 2009

Tracking signal is a measure used to evalue if the actual demand does not reflect the assumptions in the forecast about the level and perhaps trend in the demand profile. … Read More

6 Comments on Tracking Signal
Forecasting Metrics and Diagnostics

Can We Use Multiple Linear Regressions to Model Sales Promotions?

Dr. Chockalingam July 29, 2009

The simplest approach to model promotions is through interventions. This is also called event modeling in the literature. We collect a list of events and classify into types of events … Read More

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Inventory Optimization

Inventory Optimization vs. Days on hand

Dr. Chockalingam July 20, 2009

Why is it important to learn new techniques than banking on century old DOH measure? The Days of Supply is a thumb rule calculation used to manage inventory during the … Read More

Forecast Errorinventory managementinventory optimizationsafety stockSupply network optimization 3 Comments on Inventory Optimization vs. Days on hand
Forecasting Metrics and Diagnostics

Model Diagnostic – R Squared or MAPE?

Dr. Chockalingam July 19, 2009

We have now settled that MAPE or Mean Absolute Percent Error is the measure for forecast performance for a planner/Division at the end of the month.  It is more popularly … Read More

Comment on Model Diagnostic – R Squared or MAPE?
Forecasting Metrics and Diagnostics

Is MAPE controversial?

Dr. Chockalingam July 10, 2009

MAPE = Mean Absolute Percent Error.  This is the common error measure used by the Supply Chain profession.  Demand Planners and Demand Forecasters spread across the manufacturing sector use MAPE … Read More

BiasForecast AccuracyForecast ErrorMAPESales Targets 1 Comment on Is MAPE controversial?
Forecasting Metrics and Diagnostics

The Mystery of Moving Averages

Dr. Chockalingam July 10, 2009

A user in an APO forum lamented: “I am trying to use the Moving Average option in APO DP but I get a static forecast that remains constant for all the future … Read More

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Aggregate Planning

Hello Demand Planners!

Dr. Chockalingam July 9, 2009

Welcome to the forecasting blog! These are collection of thoughts on forecasting, demand planning, Sales and Operations planning and corporate strategy!  Please contribute your thoughts and comments to enhance the … Read More

1 Comment on Hello Demand Planners!

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