AI Hype Detox for Manufacturers and Distributors with Heather Hershey
What happens when you drop an LLM on top of five ERPs and a decade of M&A? Aaron Sheehan and analyst Heather Hershey map the practical path: B2B use cases that work, risks that don’t, and why chunk-by-chunk modernization beats “robot, take the whee...
B2B Commerce UnCut Podcast: The Unvarnished Truth About B2B eCommerce · Oro Inc
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Show Notes
What happens when you drop an LLM on top of five ERPs and a decade of M&A? Aaron Sheehan and analyst Heather Hershey map the practical path: B2B use cases that work, risks that don’t, and why chunk-by-chunk modernization beats “robot, take the wheel.”
Highlights
01:06 – Welcome back and introducing Heather Hershey
03:35 – Defining AI, LLMs, and RAG
09:30 – Why probabilistic AI makes ops teams nervous
11:58 – Is LLM an overkill compared to ‘boring’ machine learning and rule-based systems?
15:19 – The real blocker: fragmented data across ERPs and other systems
19:40 – The strangler pattern: modernize in chunks instead of ripping everything out
21:13 – Why commerce platforms become the orchestration layer for AI/NLP
24:37 – If you had $100K for AI: where to spend it
27:27 – Prisoner’s dilemma: agentic shopping and the disintermediation trap
34:53 – Agentic commerce predictions for B2B
40:30 – Are people replacing Google with LLMs?