Foresight: The International Journal of Applied Forecasting

2005 - 2026

From International Institute of Forecasters
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Forecasting the Impact of Artificial General Intelligence (AGI) pp. 5-16: Spyros Makridakis
Agentic Forecasting with TimeCopilot: Unifying LLMs and Time Series Foundation Models pp. 17-25: Azul Garza and Ren?e Rosillo
Commentary: TimeCopilot and the Use of LLMs in Forecasting pp. 27-30: Christoph Bergmeir
Commentary: Implications for Teaching Forecasting pp. 31-32: Anne-Flore Elard
Commentary: Making Advanced Forecasting More Accessible pp. 33-34: Zabiulla Mohammed
Commentary: A Great Opportunity and Some Challenges pp. 35-36: Fotios Petropoulos
The Cost of Forecast Error Revisited with Conformal Prediction pp. 37-42: Peter Maurice Catt
Retraining as Approximate Bayesian Inference pp. 43-48: Harrison Katz
Categorical Forecasting for Garage Management pp. 49-56: Aris Syntetos and Shixuan Wang
The Quiet Skills behind Forecasting pp. 57-60: Jerry Raphael

Balancing the Accuracy and Stability of Forecasts pp. 5-11: Christoph Bergmeir
An Introduction to Solar Forecasting pp. 12-18: Dazhi Yang
Forecasting the Monthly Peak Day pp. 19-24: Shreyashi Shukla, Tao Hong, Claude Martin and Shahab Afshar
Long-Tail Demand Forecasting in E-Commerce pp. 27-35: Shane Catts, Xuetong Wang, Bhargav Jairam Shetgaonkar and Shubhankar Ray
Book Review: Time Series Forecasting Using Foundation Models pp. 36-40: Stephan Kolassa
Are We Data Rich and Data Poor? pp. 41-45: Ira Sohn
Opinion-Editorial: The 13 Rules of Time Series Forecasting pp. 46-47: Skander Hannachi

When Better Forecasts Don't Help pp. 5-9: Johann Robette and Alexandre Warembourg
The 2025 IIF Forecasting Practice Competition pp. 10-11: Chris Fry
Demand Forecasting at Wayfair pp. 12-19: Ryan Mitchell, George Monokroussos and Arsa Nikzad
Enterprise-Scale Machine Learning for Demand Forecasting pp. 20-25: M. Harshvardhan, Cara Curtland, Adam Ghozeil and Chuanren Liu
A Forecasting Framework in Fuel Distribution pp. 26-32: Eduardo Romanus, Sami Yamouni, Luiz Henrique Cerca, Raphael Pinto,, Emerson Goncalves and Ramon Roque
Forecasting for Empty Container Repositioning pp. 33-39: Marco Zugno, Lasse Petersen, Wojciech Ponikiewski, Ewa Szulc-Wodarska and Julija Tastu
Forecasting Hourly Gas Flows pp. 40-44: Janina Zittel, Milena Petkovic and Mathias Einck
Book Review: Forecasting: Principles and Practice, the Pythonic Way pp. 46-48: Jim Hoover

The Future of Demand Forecasting with Generative AI pp. 5-13: Yue Li and Rachel Pedersen
Integrating Forecasting and Inventory Decisions Using Machine Learning pp. 14-19: Joost F. van der Haar, Yves R. Sagaert and Robert N. Boute
Types of Forecast Errors and Their Implications pp. 20-25: Kolja Johannsen
Errors on Percentage Errors pp. 26-28: Rob Hyndman
Sparse-Proof sMAPE pp. 29-30: Slawek Smyl
Know Your Errors! pp. 31-32: Stephan Kolassa
Explainability: A Requirement for Trust in Forecasts pp. 33-38: Trevor Sidery
Commentary: Explanations vs. Explainability pp. 39-40: Anne-Flore Elard
Commentary: Building Trust through Explainability pp. 41-42: Zabiulla Mohammed
The Role of Forecasting in Ending Global Hunger pp. 43-45: Lauren Davis
Life Below Water pp. 46-47: Leo Sadovy
Book Review: The Art of Uncertainty - How to Navigate Chance, Ignorance, Risk and Luck pp. 48-50: Ira Sohn
Overcategorization of Continuous Data pp. 51-52: Malte Tichy

Twenty Years On: How Is Forecasting Faring? pp. 5-7: Paul Goodwin
Learnings from the VN1 Forecasting Competition pp. 8-13: Nicolas Vandeput
Decision Modeling to Increase Forecast Usability pp. 14-18: James Taylor
The Trade-Offs between Forecasting Performance and Computational Cost pp. 19-24: Fotios Petropoulos and Evangelos Spiliotis
Two-Part Forecasting for Time-Shifted Metrics pp. 26-33: Harrison Katz, Erica Savage and Kai Thomas Brusch
Retrieval-Augmented Forecasting: Bridging Human Insight and Machine Precision pp. 34-43: Ryan Fattini and Ryan Young
The Mythical Influence of Metric Asymmetry pp. 44-45: Patrick Bower
Systems Thinking to Address Sustainability pp. 46-47: Leo Sadovy

Strategic Forecasting in Biopharma: Preview of Special Feature pp. 5-5: Christian Schaefer
Probability Assessments to Support Portfolio Management at Eli Lilly pp. 6-14: Charles Persinger and Jay Andersen
Neural Network Models to Predict Clinical Trial Completion pp. 15-20: Clarke Patrone, Jaseem Mahmmdla, Roshan Seth and Gayathri Devi Raghupathy
The Impact of Events and Order of Entry pp. 21-27: Nicholas Guthrie
Forecasting the Uptake of Gene Therapies pp. 28-33: Gary Johnson
Long-Term Product Forecasting in Pharmaceuticals pp. 34-39: Robert F. Siegmund
Addressing Bias in Pharmaceutical Pipeline Forecasting pp. 40-46: Richard Murgatroyd
Prognostication with Unusual Sources pp. 47-48: Thomas Wolfram
The Insufficiency of Looking at Forecast Accuracy Alone pp. 49-50: Steven Pauly
Brier Score vs. Log Score pp. 51-52: Stephan Kolassa