The rise of AI in the supply chain space often leaves businesses feeling both mystified and vulnerable to missing out on adopting new technology. It's a crowded field of providers and AI tools. Separating wheat from chaff is an essential exercise when looking to adopt these new technologies.

A crucial first step in the winnowing process is performing a comprehensive analysis of the current state of the organization through the lens of a proposed technological solution. Analysis includes questions such as:

• What change or improvement is the business seeking through adopting AI-powered technology?
• Which data matters from a modeling standpoint?
• Does the business structure and org chart support adoption of a tool that'll be used across business functions?
• Are stakeholders properly motivated to support the successful adoption of the new tool?
• What work is required to incorporate a new tool into an existing tech ecosystem?
• Do your personnel have the needed skillsets and subject-matter expertise to perform this preparation?

These questions must be answered before the adoption of any new AI-powered tools. The technology can only provide value if the business is prepared to apply the tool’s insights and decision-making capabilities. Businesses which successfully adopt AI-powered technologies combine both qualitative and quantitative assessments of business readiness in advance of implementation. This talk identifies several successful strategies that'll enable businesses to prepare for the adoption of AI technologies.