We don’t profess to know just exactly how this generative AI technology will play out. Or at what speed, given the range of legal, ethical and technical constraints that may well arise. But as a procurement and supply chain services and software company, we do have strong views on what procurement leaders should be thinking about - and doing - right now to learn about and take advantage of the possibilities this technology already presents. And how to safeguard against the potential risks and biases that it may create.
Before stating any recommended use cases, it is important to note a major concern inherent in AI-based models, and ChatGPT in particular: Sounding right doesn’t make it right. The outputs from these AI-enabled search queries can be very convincing and at times accurate. But they should not be accepted as correct, unbiased or even useable without applying real judgement, validations and controls.
With that said, here are some practical use cases that procurement teams can pilot today to test this free-for-the-moment tool and understand its value and limitations. This is just the tip of the iceberg. One only needs to run a few test queries on this tool to appreciate the transformative power these software models will deliver someday.
ChatGPT provides solid and instantaneous outputs to common procurement research activities such as:
It did a more than adequate job of creating solid drafts and performing initial cuts of tasks such as:
Again, ChatGPT did an efficient first-level job of:
Download the paper to learn on what ChatGPT can do for you!