In this episode of The New Warehouse Podcast, Danny Glass, co-founder of Cellaware Technologies, explores the innovative ways artificial intelligence (AI) is applied to warehouse management systems (WMS). Danny shares his background in logistics and systems and how his experience led to the development of ChatWMS. This natural language interface allows users to interact with their warehouse management systems using AI. They dive deep into the practical use of AI in streamlining operations and the challenges of AI adoption in the warehousing industry.

From Operations to AI: The Birth of ChatWMS

Danny’s journey into AI and warehouse management started with his early career at DHL. His operational experience and passion for systems led him to co-found Cellaware Technologies. He recalls, “We decided that we wanted to found Cellaware Technologies with the primary aim of applying artificial intelligence in the supply chain and specifically in the warehouse in a practical way.” The breakthrough came in 2023 when AI, particularly ChatGPT, became mainstream, inspiring the creation of ChatWMS, a system designed to enhance WMS through natural language processing.

AI’s Role in Improving Warehouse Efficiency

ChatWMS takes AI further by enabling users to interact with their WMS through a simple chat interface. Danny explains, “Using the latest large language model capabilities and technology, you can effectively converse with your warehouse management system in the most comfortable way to derive insights from it. In my experience in operations, there’s a lot of value in that because I know how much smarter I became with respect to my operation when I could interact with the data at that level.” This innovative approach allows managers to access critical data without relying on pre-built reports or complex SQL queries. ChatWMS empowers managers to make informed decisions quickly by simplifying data extraction, enhancing operational efficiency, and reducing errors.

Challenges of AI Adoption in Warehousing

Despite the benefits of AI, adoption in the warehouse industry has been slow. “There’s a lot of hype around AI,” Danny notes, but actual implementation has lagged. Many companies are cautious about the disruption AI could cause to daily operations. The key, Danny emphasizes, is making AI solutions “minimally invasive” and ensuring that they integrate seamlessly with existing systems. ChatWMS, for instance, works with any WMS that stores its data in a relational database management system, making it adaptable and easy to implement.

Key Takeaways on AI in Warehouse Management

• ChatWMS enables natural language interaction with warehouse management systems.
• AI adoption in warehousing is slow due to concerns about disruption, but tools like ChatWMS offer minimal implementation risks.
• Danny Glass highlights the importance of making AI solutions practical and adaptable for real-world warehouse environments.

Episode 526: Leveraging AI in Warehouse Management with Chat WMS