Call For Papers (CFP)

We invite papers on machine learning and AI with applications to the Supply Chain Technology. Topics of interest include, but are not limited to, the following:

• Supply Chain Technology

  • Planning: Demand Planning, Inventory Planning, Production Planning, Capacity Planning, Workforce Planning, Sales and Operations Planning

  • Sourcing: Supplier Selection, Procurement, Supplier Relationship, Cost Management, Contract Management, Risk Management

  • Making: Manufacturing Execution, Quality Control, Capacity Management, Production Scheduling, Maintenance Management, Workforce Management, Load Balancing

  • Storing: Warehousing, Inventory Management, Order Fulfillment, Storage Optimization, Material Handling

  • Moving: Real-time Route Optimization, Transportation Efficiency, Last Mile, Fleet Management, Reverse Logistics, Carrier Management

• Artificial Intelligence and Machine Learning

  • Forecasting: Probabilistic Forecasting, Hierarchichal Forecasting, Ensemble Forecasting, Sparse Forecasting, Multi-variate Forecasting, Multi-modal Forecasting, Scenario-based Forecasting, Cold Start Forecasting, Forecastability Measures

  • Time-series & Spatio-temporal Modeling: Seasonality and Trend Detection, Anomaly Detection in Time-series, Spatio-temporal Prediction, Graph Neural Networks, Distribution Shift

  • Causality: Causal Graph Discovery, Causal Inference, Root Cause Analysis, Structural Equation Modeling

  • Optimization: Linear and Integer Programming, Metaheuristics, Stochastic Optimization for Uncertainty Handling, Constraint Programming

  • Explainable AI: Feature Attribution Methods, Counterfactual Explanations, Rule-Based Surrogate Models, Causal Explainability

  • Reinforcement Learning (RL): Multi-Agent RL for Supply Chains, Deep Q-Learning for Inventory Management, Policy Gradient Methods for Logistics, Bayesian RL for Uncertainty Handling

  • Agentic AI: Autonomous Decision-Making Agents, Multi-Agent Coordination, Proactive AI Agents, Adaptive Workflow Automation

  • Generative AI: Synthetic Demand Data Generation, AI-Generated Procurement Strategies, AI-Generated Supply Chain Simulation, Automated Report & Documentation Generation

We welcome papers that address the following themes, which aim to bridge the gap between academia and the Supply Chain industry:

• Applies established methods to under-explored Supply Chain problems.

• Innovates novel methods to well-studied Supply Chain issues.

• Position papers that propose visionary, forward-looking ideas or solutions to Supply Chain problems.

• Industry challenge papers that present real-world Supply Chain problems to spark new research.

• Algorithmic tutorials that explain practical solutions to technical Supply Chain problems.

Contact: chowrana@amazon.com

Submission Guidelines

• Papers must be submitted in a single PDF via OpenReview at this link, following the Standard ACM SIG Proceedings Template.

• Submissions are limited to from 4 to 8 content pages, including all figures and tables but excluding references. References and supplementary material have no page limit, but reviewers are not required to read the appendices. All key claims should be supported within the main body. 

• Authors may include supplemental material focused on reproducibility (e.g., proofs, pseudo-code, code). The supplemental material has no page limit and can be in either single- or double-column format. However, the main paper should be self-contained, as reviewers are not required to read the supplementary materials.

• Template guidelines:

  • Word template: [link]

  • LaTeX/Overleaf template: [link]

• Submissions will undergo single-blind peer review, evaluated based on quality and relevance.

• We welcome unpublished and under-submission work, as well as recently published papers (2024/2025), including those from KDD 2025 or other venues. All accepted papers will be presented as posters, with select papers chosen for oral presentations based on scheduling constraints. Accepted papers will be posted on the workshop website.

• We recommend familiarizing yourself with OpenReview's process and moderation policy for newly created profiles:

  • New profiles created without an institutional email address will go through a moderation process that may take up to two weeks. [Source]

  • Profiles created with an institutional email will be activated automatically.

Submission Deadline & Portal

• Submission Deadline: May 25, 2025, 11:59 PM Anywhere on Earth (AoE)

• Submission Portal: OpenReview

Key Dates

• Submission Deadline: May 25, 2025, 11:59 PM Anywhere on Earth (AoE)

• Author Notification: June 12, 2025

• Camera ready papers due: June 30, 2025

• Workshop: Sunday, August 3, 2025, 08:00 am - 12:00 pm

Attending the Conference

Authors and participants are encouraged to consult KDD’s official resources for details on attending the conference.

• Registration 

• Registration FAQs

• VISA Information

• Hotels