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Implementing Advanced Analytics

CAPS Researchers created a 4-step roadmap for the successful adoption and implementation of advanced analytics in supply chain. With the growing importance of data analytics supporting SCM decision-making, it’s critical that companies know the steps to effectively implement advanced analytics.

Organizational Design

Over the past couple of years, the Metrics of Supply Management Report shows there has been a slight increase in Center-led companies (+6%) and a decrease in Decentralized (-6%). Companies that undergo organizational structure changes as part of an enterprise-wide initiative or market-driven decision face a huge endeavor, but data indicates these changes don’t happen frequently.

Average Cost Savings

Cost savings is a powerful KPI for demonstrating the value of supply management to the business. On average, supply management employees are delivering $6.9 million in total savings. How does your team compare?

Spend Per Category Manager

Across industries, category management employees comprise an average of 18% of the total supply management headcount. As more companies embrace a formal category strategy approach and invest in this strategic role it opens the door for increased spend and savings per FTE, in addition to increased protection from risk. How does your company compare?

Headcount in Strategic Roles

According to the 2024 CAPS Metrics of Supply Management report, 28.6% of the total headcount is in the tactical role of transactional buying. As companies identify priorities and fill gaps, strategic hires of supply management professionals should help decrease the number of tactical roles that could be moved to a shared services group.

Barriers to Sustainability

Lack of performance measures (40%), lack of business case (37%), and unsupported system integrations (37%) are the primary barriers to adopting sustainability criteria in supplier selection according to a recent study released by CAPS Research. These numbers will likely persist until universal sustainability standards and a clear business case motivate companies to integrate initiatives into their sourcing processes.

Top Uses for Generative AI

Results from a recent report from CAPS Research show that 38% of companies are using Generative AI for cleaning spend data, 29% use it to analyze marketing and category intelligence, and 26% to help users through requisitions, guided buying, etc. This data suggests engaging Generative AI in procurement could bring a significant boost to productivity and profitability.

Using AI in Procurement

62% of companies are currently using generative AI in procurement, according to a recent CAPS survey. However, only 15% of companies have generative AI governance policies in place, with 19% currently creating them. This indicates a significant percentage of companies are likely using Gen AI models without guidelines for protecting intellectual property and other sensitive data.

Factors During Supplier Selection

CAPS asked procurement practitioners to rank the most important ESG factors they consider when selecting suppliers. Safety, Social Sustainability, and Governance were the top 3, suggesting a greater focus on the humanitarian elements of the ESG agenda.

Most Important ESG Practices

Across all manufacturing and services industries surveyed, sourcing from suppliers that comply with ethical ESG practices is most important. Interestingly, just over 30% of supply chain professionals feel reducing Scope 3 emissions is important, despite looming regulatory reporting requirements in California and Europe. 

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