AI-Enabled Commerce Operations Transformation

OVERVIEW:

A BHN strategic initiative to transform physical retail operations by embedding AI-driven agentic workflows across the entire commerce function. The project spans 32 use cases across 8 workstreams and aims to replace manual, reactive, siloed operations with proactive, intelligent, AI-automated processes — from weekly business intelligence to store-level scheduling, fraud detection, and assortment optimization

KEY PLAYERS:

  • Sr. Vice President of Global Operations

  • Sales Region Head - Americas

  • Vice President of Supply Chain

  • Vice President of Risk

  • Sr. Director of Demand / Forecast Planning

  • Director of Supply Chain Analytics

  • Sr. Director of Merchandising

  • Vice President Engineering

  • Director Data Analytics

KEY OBJECTIVES:

  • Automate manual reporting and business intelligence workflows to surface operational insights proactively

  • Replace static scheduling models with dynamic, data-driven alternatives across merchandising and distribution

  • Build real-time store-level monitoring and alerting capabilities across operations and risk functions

  • Improve assortment planning accuracy and speed through AI-assisted recommendations

KEY OUTCOMES:

  • PROJECT CURRENTLY IN PROGRESS