Things go wrong in distribution. Systems crash. People call out. Carriers miss pickups. Customers escalate. The question is not whether a crisis is coming. The question is whether you will have a plan when it does. This session covers how to diagnose fast under pressure, how to make decisions when you do not have all the information, how to communicate up and down the organization during a crisis, and how to build default plays your team can execute before you even get to the floor. Good people with a clear plan can handle anything.

Your operation is generating data every single day. The question is whether you are using it or just reporting it. This session covers how front-line leaders can read performance data, identify what it is actually telling them, and use it to make better decisions faster. We talk about building simple scorecards, running effective one-on-ones, setting clear expectations that your team can measure themselves against, and having performance conversations that lead to improvement rather than resentment. Data is only useful if it changes how you lead.

Getting promoted into leadership does not automatically make you a leader. This session covers the people side of running a distribution operation: how to lead former peers without losing their respect, how to motivate individuals rather than manage tasks, how to delegate without losing accountability, and how to build a team that performs consistently rather than only when you are watching. Managing people is the hardest part of the job. This session gives you a framework for doing it well.

You cannot lead what you do not understand. This session focuses on the operational foundation every distribution leader needs: how the building works, how the functions connect, and how to spot root problems before they become customer failures. We cover how to walk a floor with purpose, how to find the real answer when the data does not match what you are seeing, and why operational credibility is earned on the floor, not assigned with a title. If you want your team to trust your judgment, it starts here.

Member registration is complementary and can register on this page. 
Non-member registration is $99 for the full 4-part series. Registration can be completed here: Non-Member Registration Link

Front-line leaders in distribution are being asked to do more with less, manage more complexity than ever, and develop their teams while keeping the operation running. This four-part webinar series is built specifically for supervisors and team leads in the distribution industry who want practical skills they can use the Monday after each session. No theory. No textbook exercises. Just real-world tools from someone who has spent 25-plus years on the floor, in the warehouse, and in the middle of chaos.

Each session runs 90 minutes and covers one critical leadership skill area. Participants walk away with frameworks, templates, and an action plan they can put to work immediately.

Financial professionals are frequently tasked with creating effective models that are accurate and dynamic. The power of a financial model comes from the ability to change the inputs and analyze the impact on outputs — factors that can benefit significantly from the greater data processing scale and deeper analytics offered by artificial intelligence (AI) tools such as Microsoft Copilot and ChatGPT.

This three-part course, offered in partnership with the Association for Financial Professionals (AFP), will equip finance practitioners in the foodservice equipment and supplies industry with the knowledge and skills needed to implement best practices for financial modeling, lead in analytics, harness AI technologies, and drive sustainable organizational change. Once they’ve mastered the tools and techniques, the course will guide participants on how to put their newfound expertise into action to build from-scratch financial models that produce baseline and dynamic outputs in response to changes in real-world scenarios.

Available at no cost to FEDA members. Individuals who participate in the live webinar may earn 2.4 CPE credits for each session.

Learning Objectives:
• Streamline workflows using modern Excel features to process and analyze financial data.
• Apply AI tools to generate formulas, debug models, and enhance productivity across financial planning and analysis tasks.
• Build advanced financial models incorporating sensitivity, scenario, optimization, and simulation techniques.
• Critically evaluate AI-driven recommendations within financial forecasting, planning, and performance management contexts.
• Design and present insights through interactive dashboards, PivotTables, and AI-assisted visualizations tailored to decision-makers.
• Automate and extend Excel using macros, AI-generated Visual Basic for Applications (VBA), and Python integration for large-scale financial analysis.
• Translate data and AI insights into actionable strategies that advance organizational goals and long-term value creation.

Financial professionals are frequently tasked with creating effective models that are accurate and dynamic. The power of a financial model comes from the ability to change the inputs and analyze the impact on outputs — factors that can benefit significantly from the greater data processing scale and deeper analytics offered by artificial intelligence (AI) tools such as Microsoft Copilot and ChatGPT.

This three-part course, offered in partnership with the Association for Financial Professionals (AFP), will equip finance practitioners in the foodservice equipment and supplies industry with the knowledge and skills needed to implement best practices for financial modeling, lead in analytics, harness AI technologies, and drive sustainable organizational change. Once they’ve mastered the tools and techniques, the course will guide participants on how to put their newfound expertise into action to build from-scratch financial models that produce baseline and dynamic outputs in response to changes in real-world scenarios.

Available at no cost to FEDA members. Individuals who participate in the live webinar may earn 2.4 CPE credits for each session.

Learning Objectives:
• Streamline workflows using modern Excel features to process and analyze financial data.
• Apply AI tools to generate formulas, debug models, and enhance productivity across financial planning and analysis tasks.
• Build advanced financial models incorporating sensitivity, scenario, optimization, and simulation techniques.
• Critically evaluate AI-driven recommendations within financial forecasting, planning, and performance management contexts.
• Design and present insights through interactive dashboards, PivotTables, and AI-assisted visualizations tailored to decision-makers.
• Automate and extend Excel using macros, AI-generated Visual Basic for Applications (VBA), and Python integration for large-scale financial analysis.
• Translate data and AI insights into actionable strategies that advance organizational goals and long-term value creation.

Financial professionals are frequently tasked with creating effective models that are accurate and dynamic. The power of a financial model comes from the ability to change the inputs and analyze the impact on outputs — factors that can benefit significantly from the greater data processing scale and deeper analytics offered by artificial intelligence (AI) tools such as Microsoft Copilot and ChatGPT.

This three-part course, offered in partnership with the Association for Financial Professionals (AFP), will equip finance practitioners in the foodservice equipment and supplies industry with the knowledge and skills needed to implement best practices for financial modeling, lead in analytics, harness AI technologies, and drive sustainable organizational change. Once they’ve mastered the tools and techniques, the course will guide participants on how to put their newfound expertise into action to build from-scratch financial models that produce baseline and dynamic outputs in response to changes in real-world scenarios.

Available at no cost to FEDA members. Individuals who participate in the live webinar may earn 2.4 CPE credits for each session.

Learning Objectives:
• Streamline workflows using modern Excel features to process and analyze financial data.
• Apply AI tools to generate formulas, debug models, and enhance productivity across financial planning and analysis tasks.
• Build advanced financial models incorporating sensitivity, scenario, optimization, and simulation techniques.
• Critically evaluate AI-driven recommendations within financial forecasting, planning, and performance management contexts.
• Design and present insights through interactive dashboards, PivotTables, and AI-assisted visualizations tailored to decision-makers.
• Automate and extend Excel using macros, AI-generated Visual Basic for Applications (VBA), and Python integration for large-scale financial analysis.
• Translate data and AI insights into actionable strategies that advance organizational goals and long-term value creation.

Financial professionals are frequently tasked with creating effective models that are accurate and dynamic. The power of a financial model comes from the ability to change the inputs and analyze the impact on outputs — factors that can benefit significantly from the greater data processing scale and deeper analytics offered by artificial intelligence (AI) tools such as Microsoft Copilot and ChatGPT.

This three-part course, offered in partnership with the Association for Financial Professionals (AFP), will equip finance practitioners in the foodservice equipment and supplies industry with the knowledge and skills needed to implement best practices for financial modeling, lead in analytics, harness AI technologies, and drive sustainable organizational change. Once they’ve mastered the tools and techniques, the course will guide participants on how to put their newfound expertise into action to build from-scratch financial models that produce baseline and dynamic outputs in response to changes in real-world scenarios.

Available at no cost to FEDA members. Individuals who participate in the live webinar may earn 2.4 CPE credits for each session.

Learning Objectives:
• Streamline workflows using modern Excel features to process and analyze financial data.
• Apply AI tools to generate formulas, debug models, and enhance productivity across financial planning and analysis tasks.
• Build advanced financial models incorporating sensitivity, scenario, optimization, and simulation techniques.
• Critically evaluate AI-driven recommendations within financial forecasting, planning, and performance management contexts.
• Design and present insights through interactive dashboards, PivotTables, and AI-assisted visualizations tailored to decision-makers.
• Automate and extend Excel using macros, AI-generated Visual Basic for Applications (VBA), and Python integration for large-scale financial analysis.
• Translate data and AI insights into actionable strategies that advance organizational goals and long-term value creation.

Businesses look to their supply chain operations for performance that meets customer expectations at the lowest possible cost. In order to achieve these desired outcomes, we expect our supply chains to be highly productive — meaning they are fully capable, reliable, and efficient. These are the essential qualities of supply chain performance. But, what more can we expect from our supply chains? This session illuminates how flexible and agile supply chains can serve as dynamic enablers of growth. Responsive supply chains not only flex to mitigate risks but pivot to opportunities. Further, the supply chain network can serve as a wellspring for product and process innovation. This session will examine how top companies are climbing out of operational ruts and harvesting good ideas by tapping existing and prospective members of the supply chain for market growth.