The session opens with a focus on data-driven decision-making for business operations and will cover three interconnected areas:

  1. Data-driven business operationsParticipants will learn how to analyze their own sales and customer traffic data by hour and day of the week. The goal is to identify peak periods, slow stretches, and behavioral patterns that can directly inform smarter decisions around staffing, operating hours, and resource allocation. Rather than relying on gut instinct, participants will explore how to align staffing levels and open hours with actual demand, optimizing the balance between profitability and overhead costs in a structured, data-informed way.

  2. Inventory management and demand forecasting for product-based businessesParticipants will learn how AI tools can support them in forecasting demand based on historical sales trends, setting intelligent reorder points, flagging slow-moving inventory before it becomes a liability, and automating supplier communication when stock reaches predefined thresholds.

  3. AI-assisted scheduling and Standard Operating Procedure (SOP) developmentParticipants will explore how AI can help design clear, repeatable SOPs for core business processes, reduce reliance on informal or “tribal” knowledge, improve consistency across teams, and streamline onboarding for new employees.

Key Takeaways for Participants:

  • A practical framework for analyzing sales and traffic data to optimize staffing and operating hours

  • Techniques for using AI to forecast demand, manage inventory, and automate supplier outreach

  • An introduction to AI-supported scheduling systems and SOP development tailored to small business operations

This workshop series connects small business owners with technology vendors, service providers, and consultants who share insights and tools relevant to each session's topic. Their involvement is intended solely for educational purposes and does not represent an endorsement of their products and/or services. Attendance does not create any obligation professional or otherwise to purchase or engage with any product or service introduced during the program. We encourage all participants to independently evaluate any tool, platform, or provider before making business decisions.

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