Data quality, system integration, and data aggregation remain the absolute biggest bottlenecks to future tech implementation. Dr. Angi Acocella, Research Scientist at the MIT Center for Transportation & Logistics, explains that while the possibilities of advanced tech are endless, the underlying data layer is often deeply flawed. Shippers lose massive amounts of time manually cleaning, un-siloing, and reorganizing historical information. In the modern logistics landscape, data is a company's definitive competitive moat—meaning a tool is only as smart as the information you feed into it.