Session

Building Retail Forecasting Agents using Copilot for Modern E-commerce Inventory Management

A practical exploration of hybrid AI-powered forecasting techniques tailored for e-commerce businesses facing unique supply chain challenges and demand patterns. This talk demonstrates how Copilot can be leveraged to build retail forecasting agents that account for distinct seasonalities, product cycles, and regional shopping behaviors. Learn how companies like Target and their vendor brands transform complex data into actionable inventory insights, balancing interpretability needed for effective cross-functional communication between data science and business teams in the modern marketplace powered by deep learning systems.

Bhargav Shetgaonkar

Senior AI Scientist at Target

San Francisco, California, United States

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