The Big Picture: Embedded AI as a Catalyst for Technological Change in Procurement
Introduction: A New Digital Dawn
Artificial Intelligence (AI) is poised to significantly reshape technological advancements, particularly within procurement and supply chain management. The emergence of AI app marketplaces, like OpenAI's GPT Store, signifies a pivotal shift in AI tool development and consumption. These platforms facilitate the creation and sale of AI apps, marking a turning point in AI's evolution. Additionally, the rise of low-code environments empowers developers to democratize organizational development by fostering agile workflows and processes.
Seizing the Opportunity of AI
AI's potential to drive global GDP growth by 7% over the next decade presents both challenges and opportunities for Chief Procurement Officers (CPOs). While AI's limitless uses may seem daunting, 65% of IT leaders believe AI can augment and revolutionize human decision-making in supply chain and procurement. This democratization of AI access reduces barriers to entry, promotes collaboration, and unleashes innovation across diverse industries.
AI Everywhere
AI is becoming an integral part of everyday operations, transforming procurement and supply chain management. For instance, AI can aggregate and summarize data, highlight anomalies in contracts, and even assist in contract management tasks. This transformation not only enhances decision-making but also offers new opportunities for industries to leverage AI's capabilities.
Transitioning to AI-Enabled Advisory
Procurement departments are moving towards becoming AI-enabled advisory centers, focusing on delivering business value through data and analytics. This shift requires the ability to not just collect and organize data but also to enable flexible workflows that can swiftly convert insights into actionable steps. By leveraging low-code/no-code environments, procurement teams can adapt and respond more efficiently to external changes and competitive demands.
From Integration to Orchestration
In pursuit of harmonious performance, procurement teams are rethinking their data and analytics operating models. The integration of AI tools allows for more effective orchestration of activities across all functions, enhancing visibility and collaboration. Low-code environments facilitate the building of processes and data flows, supporting AI-supported analysis of siloed data and third-party information.
A Platform Wish List for 2024
Key areas for procurement in 2024 include:
- AI-based Intake Management: Enhancing user experiences.
- End-to-End Procurement Orchestration: An AI-powered platform for seamless operations.
- Low-code/No-code Capabilities: Rapid workflow configuration.
- Integration Connectors: Easy integration with various external systems.
- Configurable Dashboard: Driven by generative AI.
- Predictive Analytics: Boosting real-time decision-making.
- Intelligent Analytics App: Holistic visibility into categories and suppliers.
- Balanced Decision-Making: Incorporating cost, risk, and sustainability.
- Sustainability Initiatives: Supporting procurement goals.
- Supplier Collaboration: Facilitated by collaborative networks.
- Data-Driven Negotiation Tools: Enhancing outcomes through market insights.
Partnerships and Resources
The report concludes with details on the partnership between GEP and Procurement Leaders, offering resources for further exploration, including reports, call summaries, and whitepapers on AI's role in procurement and its transformative capabilities. GEP aids global enterprises in achieving operational efficiency, competitive advantage, and business growth through strategic and managed services.
