Resources / Analyst Reports / AI-Enhanced Pricing Optionality: Making Supply Chains More Predictable
When you talk about the role of machine learning and AI, it’s really about creating the benefits of optionality for your purchasing organization without the administrative process and overhead costs associated with managing that complexity.
Summary
The automotive industry has faced a series of challenges post-COVID. From shortages of parts and unreliable supply chains to severe inflation and union strikes, automotive purchasing has become more difficult than ever before.
In this analyst report, Emerj showcases how AI adds value to the automotive purchasing process through two use cases: Purchase orders and obtaining trustworthy suppliers.
Key Takeaways
- When to leverage insightful data from a wide range of organizational sources
- How machine learning-enhanced platforms can fill in many of the blanks in an early PO process
- Where predictive capabilities can find the next best options if preferred suppliers are unavailable
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