Looking at why supply chain tech ROI falls short

Logistics Management· June 27, 2026

Despite significant annual investments in transportation and warehouse management systems, many supply chain technology projects fail to deliver the expected return on investment. The primary cause of these shortcomings is often attributed to organizations prioritizing software implementation over the development of a clear business strategy. For the logistics sector, this highlights a critical need to align technological adoption with specific operational goals to ensure long-term efficiency and value.

Organizations across the logistics and supply chain landscape continue to pour billions of dollars into advanced technologies, including transportation management systems (TMS), warehouse management software (WMS), artificial intelligence platforms, and various automation tools. However, a significant portion of these implementations fail to meet their intended performance benchmarks. According to Tony Wayda, principal of client advisory and partnerships at JBF Consulting, the failure is rarely due to the technology itself but rather a lack of foundational planning.

Speaking at the Gartner Supply Chain Symposium, Wayda emphasized that many companies rush into the implementation phase without first defining the overarching business strategy that the technology is meant to facilitate. This misalignment often leads to tools that do not address the specific needs of the supply chain, resulting in wasted capital and operational friction. Wayda notes that technology should be viewed strictly as a tool to execute a strategy rather than a solution in isolation.

The implications for the logistics industry are profound, as the pressure to modernize can lead to reactive decision-making. To achieve a positive return on investment, firms must ensure that their strategic objectives are clearly articulated before selecting and deploying complex software suites. By focusing on the strategy before the tool, supply chain leaders can better integrate AI and automation into their workflows, ensuring these tools drive genuine improvements in visibility, speed, and cost-effectiveness.

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