Optimizing Procurement Processes through AI: An Analysis of Benefits and Challenges

Laman Abilova

Diplomová práce

Anotace:

Despite the claims of artificial intelligence (AI) offering transformative benefits for procurement, only 6% of companies are automating their procurement processes. This study investigates the implementation of GEP SMART, an AI-powered procurement platform, across three different industries- electronics, manufacturing, and pharmaceuticals- to evaluate its effects on cost savings, efficiency, and explore the extent to which it brings challenges to organizations. Based on semi-structured interviews with 12 procurement experts that were analyzed with MAXQDA, the study reveals that the implementation of GEP SMART, an AI platform, increases real-time efficiency with reduced manual errors, automates reports, increases stakeholder management strategies, and captures all procurement steps within one centralized platform. However, the study brings to light that organizations face some struggles during the implementation, such as resistance from employees, new platform complications, training challenges, and stakeholder management. The research validates three hypotheses: (1) AI integration is associated with demonstrable efficiencies; (2) Inadequate digital infrastructure complicates the automation process; (3) success depends on change management and tailored training programs. By bridging the gap in cross-sector evidence, this study provides actionable guidance for procurement leaders in their adoption of AI, arguing that phased implementation roadmaps and cultural adaptation are key to maximizing return on their investment (ROI).

Abstract:

Despite the claims of artificial intelligence (AI) offering transformative benefits for procurement, only 6% of companies are automating their procurement processes. This study investigates the implementation of GEP SMART, an AI-powered procurement platform, across three different industries- electronics, manufacturing, and pharmaceuticals- to evaluate its effects on cost savings, efficiency, and explore the extent to which it brings challenges to organizations. Based on semi-structured interviews with 12 procurement experts that were analyzed with MAXQDA, the study reveals that the implementation of GEP SMART, an AI platform, increases real-time efficiency with reduced manual errors, automates reports, increases stakeholder management strategies, and captures all procurement steps within one centralized platform. However, the study brings to light that organizations face some struggles during the implementation, such as resistance from employees, new platform complications, training challenges, and stakeholder management. The research validates three hypotheses: (1) AI integration is associated with demonstrable efficiencies; (2) Inadequate digital infrastructure complicates the automation process; (3) success depends on change management and tailored training programs. By bridging the gap in cross-sector evidence, this study provides actionable guidance for procurement leaders in their adoption of AI, arguing that phased implementation roadmaps and cultural adaptation are key to maximizing return on their investment (ROI).

Klíčová slova

AI, GEP SMART, Automation, Procurement Process

Keywords

AI, Procurement Process, Automation, GEP SMART

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 14. 5. 2025

Obhajoba závěrečné práce

• Obhajoba proběhla 18. 6. 2025
• Vedoucí: Marek Vinš
• Oponent: Petr Jirsák

Vysoká škola ekonomická v Praze

Magisterský studijní program:
Management