2024 Supply Chain Priorities, Challenges, and Trends
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APQC’s survey shows 2023 was a difficult year for both target attainment and competitive performance, with only 20% reporting they met or beat peers/competitors.
Briefing
Supply chains head into 2024 with a clear message from last year’s performance: success is far from guaranteed. In APQC’s global survey of 352 respondents, 44% of participants said their supply chain hit 2023 business targets, but only 38% reported that result among APQC’s research participants—an indicator that 2023 was rough across industries. Even more telling, just 20% said they were on target or exceeded peers and competitors, the lowest level in APQC’s five-year tracking period outside the disruption of 2020. That gap matters because it frames 2024 not as a “return to normal,” but as a year where organizations must prove resilience and measurable improvement despite ongoing uncertainty.
APQC’s outlook for the next three years puts “uncertainty” at the center of planning, and the top trends skew heavily toward technology and data discipline. Big data and advanced analytics remains the leading anticipated trend, driven by the flood of internal and external information from suppliers and customers. Digital supply chain sits close behind, as companies push to connect physical operations with digital tools while ensuring a return on investment. A new addition—data management—rises into the top tier, reflecting a growing recognition that unreliable inputs undermine forecasting and downstream decisions (“garbage in, garbage out”). Process standardization also climbs, because scenario planning and contingency execution require consistent ways of working. Sustainability/ESG moves up as regulation expands across regions and jurisdictions, while cloud services continue to support remote access and operational continuity.
Yet the biggest barriers to improvement don’t come down to a lack of ambition. When asked what most prevents progress, respondents selected lack of collaboration as the top obstacle (37%), a problem that has stayed near the top for at least three years. APQC’s research also points to implementation friction: organizations may invest in new technologies, but they struggle to integrate them into daily work and capture value. That challenge is increasingly tied to change management, governance, and the need to coordinate across internal functions and external stakeholders—often treated as an “ecosystem” rather than a simple supply chain.
Funding signals continued commitment, even as priorities sharpen. While investment levels are easing slightly, 56% of respondents plan to increase supply chain funding in 2024 (down from 66% the prior year). Talent remains a pressure point: competition for skilled workers is intense, and layoffs driven by economic uncertainty make workforce planning a continuing risk.
AI adoption is growing but not yet mainstream. Only about a quarter of respondents use AI extensively across supply chain activities, with demand forecasting and predictive maintenance leading current use. Generative AI stands out for headline attention but is less widespread in practice: 36% are using it, while 45% plan to invest.
APQC then narrows the focus to four priority areas for 2024—supply chain planning, sourcing and procurement, innovation, and logistics/inventory management. Integrated business planning becomes the standout within planning, jumping to 49% as the top focus area, reflecting a push to align business goals across functions. Supplier relationship management leads sourcing priorities, alongside risk mitigation and sustainability data needs (including scope 3 emissions). Innovation emphasizes operational/process change and employee engagement, while logistics priorities center on inventory optimization and supply chain visibility extending to second- and third-tier suppliers.
With global concerns running high—APQC reports 25% “extremely concerned” about the future of global supply chain—recommendations converge on a practical playbook: strengthen data and analytics foundations, stay alert to external changes, collaborate across stakeholders, and treat innovation as a core organizational goal. The underlying theme is that resilience is no longer optional; it’s the operating requirement for 2024’s unknowns.
Cornell Notes
APQC’s 2024 supply chain priorities survey links 2023 performance struggles to a 2024 planning reality: uncertainty is persistent, and only a minority of organizations outperform peers. Across the next three years, the biggest anticipated trends are big data and advanced analytics, digital supply chain, and a new emphasis on data management—because inaccurate inputs damage forecasting and decision-making. The top obstacle to improvement is lack of collaboration, not lack of investment, and technology value often depends on change management and governance. Funding for supply chain initiatives remains strong (56% plan to increase budgets), while AI adoption is still limited in breadth—demand forecasting and predictive maintenance lead current use, and generative AI is more planned than deployed. The priorities for 2024 concentrate on integrated business planning, supplier relationship management, operational/process innovation, and inventory optimization with deeper visibility.
What did APQC find about supply chain goal attainment in 2023, and why does it matter for 2024?
Which three trends are most prominent for the next three years, and what common problem do they address?
Why does lack of collaboration show up as the top barrier to supply chain improvement?
How are organizations investing in 2024, and what does the funding trend imply?
What does APQC’s AI data suggest about where AI is delivering value today versus where it’s still aspirational?
What are the top 2024 focus areas across the four supply chain functions, and what’s the common thread?
Review Questions
- Which 2023 metrics in APQC’s survey indicate not just disruption, but weaker competitive performance—and what does that imply for 2024 priorities?
- How do data management and process standardization support scenario planning and contingency execution in an uncertain environment?
- Compare APQC’s current AI use cases (e.g., demand forecasting, predictive maintenance) with generative AI adoption and planned investment—what differences stand out?
Key Points
- 1
APQC’s survey shows 2023 was a difficult year for both target attainment and competitive performance, with only 20% reporting they met or beat peers/competitors.
- 2
Big data and advanced analytics, digital supply chain, and data management are the leading three trends for the next three years, reflecting a push to make data-driven decisions reliable.
- 3
Lack of collaboration is the top barrier to supply chain improvement (37%), and it has remained near the top for multiple years.
- 4
Technology investment remains strong for 2024 (56% plan to increase funding), but value capture depends on implementation, change management, governance, and workforce readiness.
- 5
AI adoption is concentrated in demand forecasting and predictive maintenance; generative AI is more commonly planned than currently used.
- 6
2024 functional priorities center on integrated business planning, supplier relationship management, operational/process innovation, and inventory optimization with broader supply chain visibility.
- 7
Resilience is treated as a necessity, with growing emphasis on scenario planning and war gaming to respond to “unknown unknowns.”