AI technology is capturing everyone’s attention and is already reshaping industries worldwide. You may wonder how AI will benefit your business, what its impact will be on your supply and demand planning, or why you should invest in AI as part of your tech stack. In the webinar, we’ll uncover the practical implementation of AI in your business for supply and demand planning and provide a clear and actionable insight into its untapped potential in this area. Gain valuable insights from Barry Kukkuk, CTO & Co-founder and visionary behind Netstock’s AI-powered supply and demand planning software, as he provides candid insights on the transformative impact of AI and best practices for your business. Discover how AI technologies can support unlocking inventory opportunities, enhance efficiency, reduce costs, and drive overall business profitability. Webinar Abstract Key Takeaways: For the audience to have a clear understanding of what AI & Degenerative AI are and its impact on supply chains How AI software can help businesses be better prepared for external disruptions and better future-ready their supply chain The opportunities that AI software adds to supply and demand planning Best practices for businesses implementing AI software

Transporting perishable goods, whether its medicine or produce, is no easy task and requires intense planning. Supply chain and logistics professionals have employed a number of solutions over the past years to ‘get more visibility’ to what is happening and avoid issues. Yet, even with devices frequently transmitting temperature & location in real time, cold chains around the world still suffer from product loss and products arriving with less shelf life than expected. Join Supply Chain Now host Scott Luton, along with Ilya Preston and Brian Shultz with PAXAFE and dive into the reasons why visibility falls short and discover: Why “getting more visibility” isn’t the only solution—many cold chain operations are sitting on valuable data with hidden insights ready to be uncovered. The challenges of handling vast new data streams, including the costs, staffing needs, and limits of human-based monitoring for scaling insights. How managed logistics data can speed decision-making, cut costs, and provide a competitive edge by transforming sensor data into actionable insights. The power of data-driven decisions across domains and how teams leveraging AI can confidently respond to leadership with consistent, fact-based insights.