TLDR
- Procurement and supplier management processes lag in digitalization, hindering efficiency and increasing costs.
- Procurement leaders express concern about slow digitalization and agility of existing systems.
- AI and data analytics hold the key to modernizing procurement and driving growth in a dynamic business environment.
In an era where digitalization is transforming industries, one crucial department remains largely untouched by the digital revolution: procurement and supplier management. A recent study by Ivalua has revealed that more than half of these critical processes (53%) have yet to undergo digitization. This lag in adopting digital tools is causing concern among procurement leaders who believe that the rate of digitalization is too slow and that existing systems lack agility.
Despite the promises of AI tools to enhance productivity, the procurement and supplier management processes have been slow to embrace digital transformation. Over half of these processes remain reliant on manual and paper-based methods. This digitalization gap not only impedes efficiency but also contributes to rising operational costs.
Challenges faced by procurement leaders
Procurement leaders are well aware of the urgency for digital transformation in their field. Half of them express dissatisfaction with the current rate of digitalization, while nearly half believe that existing systems lack the agility required to adapt to rapidly changing business environments. Maintaining outdated manual and paper-based systems consumes a significant amount of time, which could otherwise be channeled into revenue-generating activities.
The persistence of manual and paper-based processes in procurement comes at a considerable cost. Workers spend a substantial portion of their time on tasks that could be automated with digital tools. This represents a substantial opportunity for revenue growth through process optimization and modernization.
The digital advantage
Digitally available information accelerates company operations by facilitating quicker decision-making and cost control. The adoption of digital tools not only streamlines processes but also holds the promise of preventing escalating costs. In a business landscape characterized by inflation and economic uncertainty, digitalization becomes an imperative.
Alex Saric, a smart procurement expert at Ivalua, emphasizes the urgency of digitizing procurement processes. He notes that in a period of economic uncertainty and high inflation, the need to modernize procurement is paramount. By freeing up teams from manual tasks, organizations can better address these challenges and seize growth opportunities.
Challenges in implementing AI
While many organizations are keen on implementing AI and data analytics in procurement, it’s essential to recognize that simply adding AI tools without addressing foundational issues may yield disappointing results. Saric cautions that the quality of data is critical to the success of AI implementations. Poor-quality data can limit the insights produced by AI, emphasizing the importance of data integrity and accuracy.
For businesses looking to modernize their procurement departments, the study outlines a roadmap. It starts with a shift toward a more cloud-based approach. Saric underscores the importance of taking incremental steps, acknowledging that many procurement departments are not just one step but several steps behind in their digital transformation journey.
Embracing data analytics and AI
The study reveals that 85% of organizations have already implemented or plan to implement data analytics, while two-thirds (63%) are leveraging or planning to leverage AI and machine learning technology. This signals a growing recognition of the potential benefits of these technologies in procurement.
The digitalization of procurement and supplier management processes is a critical step in ensuring operational efficiency, cost control, and growth in today’s dynamic business landscape. The study by Ivalua underscores the urgency of this transformation, given the challenges of inflation and economic uncertainty. To unlock the full potential of AI and data analytics, organizations must first address data quality issues and take an incremental, cloud-based approach to modernization. By doing so, they can position themselves for success in an increasingly digital-driven future.
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Source: https://www.cryptopolitan.com/procurement-and-supplier-management/