In a recent interview with Jeff Alpert, the Vice President of Product at, featured in the publication Supply Chain Brain’s article “What’s the Real Impact of AI on Today’s Supply Chains?,” we gained valuable insights into the current state of artificial intelligence (AI) in supply chain management. Alpert highlighted the practice of superficially incorporating AI or machine learning (ML) into existing systems, emphasizing the need for a paradigm shift towards embracing probabilistic planning and generative techniques. uses cutting-edge AI/ML technology to enhance planning and decision-making, providing risk-adjusted suggestions and automated workflows for unmatched efficiency and cost savings in supply chain management. This blog delves into the interview, shedding light on the challenges faced, the importance of problem framing, and how’s AI algorithms can empower supply chain managers to make better bets for optimized decision-making.

The Innovators’ Dilemma and the Complexity of AI Implementation:

Supply chains grapple with an “innovators’ dilemma” as new technologies, including AI, emerge. Unlike previous advancements, AI poses unique implementation challenges due to its intricate nature. Alpert acknowledges that AI demands a “new math” approach, often overwhelming supply chain managers accustomed to traditional planning models. To bridge this gap, recognizes the need to equip planners with the necessary tools and support, facilitating a smooth transition towards AI-powered supply chain management.

The Shift towards Problem Framing and Modeling:

A prevalent issue hindering AI adoption is the “technology-first” approach. Instead of understanding the problem at hand and identifying the ideal outcome, many organizations attempt to fit AI into their existing processes. Alpert stresses the importance of framing the problem and modeling what “good” looks like before leveraging AI tools to provide solutions. emphasizes a problem-centric methodology, enabling supply chain managers to define their objectives, articulate desired outcomes, and leverage AI algorithms for optimal decision-making.

AI Algorithms as Efficient Decision-Making Tools:

AI algorithms provide invaluable shortcuts for demand and inventory planning dilemmas when harnessed effectively. Whether determining the cost implications of avoiding stock-outs or managing excess inventory, AI can deliver data-driven insights that drive informed decision-making. Alpert poses the question, “Is there a role for ChatGPT?” While acknowledging the potential, he emphasizes the importance of training AI models, such as ChatGPT, on relevant supply chain information. recognizes the significance of data-driven training to unlock the full potential of AI in supply chain management.’s Commitment to Revolutionize Supply Chain Planning: Making Better Bets stands at the forefront of AI innovation in supply chain management, committed to enabling organizations to leverage the full power of AI. By offering comprehensive solutions and tools, equips supply chain managers with the necessary resources to overcome implementation challenges. With a focus on problem framing, modeling, and data-driven training, empowers organizations to optimize their supply chain operations, enhance efficiency, and drive growth. Embrace the future of supply chain management with and make better bets by harnessing the transformative capabilities of AI.

The interview with Jeff Alpert, featured in Supply Chain Brain’s article “What’s the Real Impact of AI on Today’s Supply Chains?,” sheds light on the current state of AI in supply chain management, emphasizing the need for a shift toward embracing probabilistic planning and generative techniques. recognizes supply chain managers’ challenges and is dedicated to providing comprehensive AI solutions that address these complexities. By adopting a problem-centric approach, training AI models on relevant data, and offering decision-making shortcuts, aims to revolutionize supply chain management and enable organizations to make better bets for optimized decision-making.

To watch the interview click here