This course provides a concise overview of how artificial intelligence (AI) is transforming financial strategies, tax compliance, and audit practices in the global retail industry. As retailers deploy AI to personalize customer experiences, automate inventory, and optimize pricing, accounting professionals must adapt to new challenges in data integrity, regulatory compliance, and financial reporting. Drawing on real-world case studies from retail giants and small businesses alike, this course explores how AI technologies intersect with accounting workflows and outlines strategies to maintain accuracy, trust, and control in an AI-driven marketplace. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Learning Objectives
After attending this presentation, you will be able to...
- Identify AI trends transforming the retail accounting landscape
- Analyze risks associated with AI-driven financial decisions
- Apply accounting standards to AI-related investments and expenses
- Evaluate audit readiness of AI-generated data and outputs
- Design internal controls for AI-integrated financial systems
- Interpret ethical and regulatory frameworks governing AI use in retail
- Develop strategies to align accounting practices with AI innovation
Major Topics
The major topics that will be covered in this course include:
- AI-powered personalization and its impact on revenue recognition
- Dynamic pricing models and tax compliance risks
- AI in demand forecasting, inventory valuation, and COGS calculations
- Integration challenges with ERP and POS systems
- Governance, ethics, and auditability of AI decisions
- Data quality, audit trails, and regulatory documentation
- AI-assisted fraud detection, financial controls, and oversight
