Unlocking the Power of Agentic AI for Smarter Retail Decisions

This workshop is specifically designed for retail industry professionals including executives, merchandising leaders, supply chain managers, data analytics teams, and technology decision-makers. It's ideal for anyone involved in retail operations, planning, or strategy who wants to understand how agentic AI can transform decision-making processes and drive business results.

Traditional AI systems typically analyze data and provide recommendations for humans to implement. Agentic AI takes this further by not only analyzing data but autonomously making and executing decisions within defined parameters. Think of traditional AI as an advisor, while agentic AI acts as both an advisor and executor, continuously learning from outcomes to improve future decisions. This workshop will demonstrate how this distinction creates significant advantages in retail applications.

No technical expertise is required. This workshop is designed to be accessible to business leaders and decision-makers regardless of technical background. We focus on business applications, ROI, and strategic implementation rather than complex technical details. Our simulations and demonstrations are designed to be user-friendly and business-oriented while still providing deep insights into how the technology works.

Agentic AI addresses numerous critical retail challenges, including:

• Demand forecasting accuracy at granular levels (store/SKU)
• Dynamic price optimization across channels and competition
• Inventory allocation and replenishment
• Markdown timing and depth decisions
• Personalized promotions and offers
• Supply chain disruption responses
• Assortment planning and localization

The workshop will showcase specific case studies and ROI metrics for each of these applications.

This is a highly interactive workshop. Approximately 40% of the time is dedicated to hands-on activities including AI decision-making simulations, group discussions, and practical exercises. You'll use actual AI tools to make retail decisions and compare your results with AI-optimized outcomes. We encourage questions throughout, and the workshop includes dedicated Q&A segments to address your specific business scenarios and challenges.

The AI Demo Sandbox gives you 30-day access to a functioning version of Impact Analytics' retail AI platform with pre-loaded anonymized retail data. You can run simulations for demand forecasting, price optimization, and inventory management to see how the system works with real data. This hands-on access lets you explore the technology's capabilities, test different scenarios, and better understand how it would apply to your specific business. Technical support and documentation are included during your access period.

Yes, we offer a full refund if you cancel at least 7 days before the workshop date. For cancellations within 7 days of the event, we provide a workshop credit that can be applied to a future session. If you're unable to attend, you may also transfer your registration to a colleague at no additional cost. All registrants receive access to the workshop recording and materials regardless of attendance.

All registered participants will receive an email following the workshop with links to download the presentation materials, implementation guides, and other resources. This email will also include instructions for accessing the workshop recording, which will be available for 90 days. The AI Demo Sandbox and ROI calculator access credentials will be provided during the workshop with follow-up instructions sent by email.

Yes, we offer private, customized workshops for companies that want to focus on their specific retail challenges and data. These sessions can be tailored to your industry vertical, business model, and strategic priorities. Private workshops typically run 3-4 hours and can be conducted virtually or on-site. They include all the benefits of the public workshop plus customized content and extended Q&A. Please contact us through the form below for pricing and availability.