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Thoughts on Navigating the AI Revolution: How Procurement and Supply Chain Tech Companies Must Find Ways to Differentiate

CONSTANTINE LIMBERAKIS

Updated: Jan 3

The generative AI revolution catapulted into the mainstream with the rapid adoption of ChatGPT and has reached a pivotal stage in its evolution. But according to the latest Gartner Hype Cycle for Artificial Intelligence, generative AI has passed the Peak of Inflated Expectations and is heading into the Trough of Disillusionment. This shift marks a critical opportunity for Procurement and Supply Chain Tech companies to differentiate their AI offerings by focusing on value-driven innovation rather than riding the hype.

The Great Wave by Katsushika Hokusai. Currently on loan at the Art Institute of Chicago

The ChatGPT Phenomenon and Its Implications

Looking back on 2024, the unprecedented adoption speed of generative AI tools like ChatGPT has redefined how businesses perceive AI. However, the technology’s broad accessibility—via open-source models and APIs—has drastically lowered the barriers to entry.


The consumerization of GenAI provides businesses with significant insights. It took Twitter nearly two years to reach one million users; in 2010, Instagram accomplished this in two and a half months. However, ChatGPT achieved one million users in just five days and reached 100 million in an unprecedented two months – marking the fastest adoption rate for any technology in history then! Remarkable…

This democratization means the differentiation moat no longer lies solely in AI technology. Instead, competitive advantage will come from areas that make providers unique in their respective areas. Consider the following:

  • Proprietary Data: Leveraging unique datasets to train models tailored for specific procurement and supply chain challenges.

  • Customer-Centric Solutions: Building scalable, outcome-oriented tools that deliver measurable value.

  • Domain Expertise: Incorporating deep industry knowledge to contextualize AI applications effectively.

Differentiation Beyond the Hype

Procurement and Supply Chain Tech providers must move beyond “generic AI” claims and emphasize specialized use cases. Gone are the days of AI-powered anything…everyone has AI now – so what?


As generative AI navigates the Trough of Disillusionment, companies must mitigate risks such as unrealistic expectations and regulatory challenges. Differentiation strategies may include acknowledging the newness of AI and finding ways to work best with your customers on its current limitations:

  • Transparency in AI Usage: Communicating AI applications' limitations and ethical guidelines to build trust.

  • Integration with Legacy Systems: Ensuring AI tools seamlessly connect with existing supply chain platforms, avoiding disruption.

  • Iterative Implementation: Adopting a phased approach focusing on pilot programs with tangible ROI before scaling.

The Road Ahead

Procurement and Supply Chain Tech companies, particularly start-ups, have a unique opportunity to redefine their competitive edge through a platform built with AI in mind. However, the winners of this era will be those who focus not on messaging technology itself but, just like every other technology revolution, on how it truly solves industry-specific challenges.


As AI advances, it's crucial to stand out to prevent obsolescence. You can do this by emphasizing your unique attributes and building your messaging around credibility and real impact. Are you ready to go beyond the hype and show how your use of AI solutions meets the needs of your Ideal Customer Profile?


Let’s collaborate to craft compelling positioning and messaging that highlights your unique strengths—whether based on proprietary data, customer-centric solutions, or domain expertise. Connect with us today and discover how to position your brand as a leader in this transformative space. Contact Liberis Consulting LLC, and let’s make your AI story stand out.

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