Rohit Laila brings a wealth of experience from the front lines of supply chain management, having witnessed the evolution of logistics from manual spreadsheets to high-speed, AI-driven automation. As an advocate for meaningful innovation, he understands that the true value of technology lies in its ability to solve gritty, real-world problems rather than just populating colorful dashboards. In this discussion, we explore the shifting landscape of yard management, the hidden costs of dwell time, and how companies can move beyond the hype to achieve genuine operational efficiency in an increasingly demanding market.
When gate turns move faster through automated check-ins, how does this shift the daily workload and mindset for the operators on the ground?
The most significant shift when gate turns accelerate is the immediate reduction in the psychological friction that plagues traditional yard operations. Instead of the chaotic scramble to manually locate a missing trailer or verify a dock status through radio chatter, teams move from a reactive stance to a proactive one where the data is actually trusted. You no longer have staff fighting for basic information or spending hours reconciling system errors against the physical reality of what is sitting out in the lot. This newfound clarity allows the workforce to focus on high-value exceptions and strategy rather than being bogged down by the mental fatigue of manual data entry and constant status checks. When the system handles the routine, the humans can finally handle the optimization.
What are the common misunderstandings regarding yard congestion and dwell time that often lead companies to implement the wrong solutions?
Many organizations mistakenly view dwell time as a simple throughput or labor issue, assuming that just throwing more drivers or equipment at the problem will fix the bottleneck. However, the reality is that trucks are often idling because the operation simply cannot confirm what the next move should be amidst the constantly shifting conditions of a busy yard. These delays don’t just stay confined to the gate; they spiral out into the organization as expensive detention fees on a finance ledger or disrupted dock schedules at the warehouse. By the time the bottleneck is actually visible to leadership, the inefficiency has already corrupted downstream inventory data and caused ripples across the entire planning department. If you don’t address the decision-making process, you’re just moving a pile of problems faster.
In an era where every vendor claims to use artificial intelligence, how can a logistics leader distinguish between genuine automation and mere marketing hype?
The real test for AI in a yard environment is whether it actually eliminates a manual task or just adds a digital layer to an existing one that still requires human intervention. We see many early solutions using cameras and OCR that still require a person to audit every single entry before it’s approved, which essentially just moves the work to a different screen rather than removing it entirely. True AI intervention involves computer vision that reads a trailer number and triggers an immediate action without a person in the middle to double-check the system’s work. Without this level of autonomous execution, you are just investing in an expensive version of the same old problem—creating dashboards that still require a manager to interpret them and decide what to do next. If the technology doesn’t remove a step from the workflow, it isn’t true automation.
What are the primary operational mistakes you see when companies attempt to modernize their yard management systems?
One of the most frequent traps is treating a yard management upgrade as a simple software purchase rather than a fundamental operational change that requires cultural buy-in. If you just buy a platform without fixing your underlying processes, you’re really just giving your existing workarounds and bad habits a more expensive place to live. It is also a massive error to design these high-tech solutions without the input of the people who actually run the yard every day, as they are the ones who know exactly where the process breaks down during peak hours. Success usually comes to those who start small with a single facility to prove the ROI and then expand based on those concrete results, rather than trying to overhaul an entire network overnight.
How has the recent slowdown in the freight market shifted the way companies evaluate their investments in visibility and automation tools?
The recent slowdown has stripped away the margin that used to hide operational inefficiencies, making every wasted hour and detention fee glaringly obvious on the company ledger. In a high-volume market, it was easy to absorb the cost of a slow yard because the sheer scale of the business could mask the waste, but now those costs are being scrutinized as line items that must answer for themselves. We are seeing a much healthier buying environment where companies aren’t asking if visibility is a “nice to have” feature; they are demanding to know exactly how fast they can see a return on their investment. This shift has forced a survival-of-the-fittest scenario for technology, where only the tools that deliver measurable efficiency and cost-saving can justify their place in the budget.
When trailers or containers sit idle for too long, where does that financial and operational pain eventually manifest within the broader organization?
The pain of a congested yard eventually hits the consumer, but it travels through several internal departments first, often starting in finance where detention fees begin to pile up unexpectedly. In specialized sectors like food, beverage, and pharma, extended dwell time creates a high risk for spoilage and massive compliance exposure that can jeopardize entire shipments and safety standards. You also see warehouse throughput suffer when dock appointments are missed, and planning decisions become corrupted because inventory is logged as being “in-transit” when it’s actually sitting right there on the lot. Because the yard doesn’t typically absorb the cost of its own errors, the rest of the organization ends up paying the price for the lack of visibility into what’s happening at the gate level.
Are there specific facility types or industries that are leading the charge in adopting these technologies, and what sets them apart?
Speed of adoption isn’t necessarily tied to a specific industry, but rather to how clearly an organization can connect their yard inefficiencies to actual financial outcomes. We see the most progress in companies that can track how production delays or missed delivery windows are directly fueled by the lack of data at the yard level. When the costs of spoilage, labor waste, or detention fees are buried across different systems, there is often no sense of urgency to fix the problem because the true price tag remains hidden. However, once those costs become visible and the ROI is made obvious to the stakeholders, the decision to automate the yard becomes an easy one for leadership to justify.
If you were to walk into a struggling yard today, what is the first foundational problem you would seek to fix to turn the operation around?
If I could walk into any yard and change one thing immediately, I would fix the foundation of the entire operation: the gate. You have to know exactly what is on the lot, when it arrived, and exactly where it is resting at any given moment, which is surprisingly not the case for many operations today. Too many yards still rely on manual check-ins and disconnected systems that provide data that is already several hours out of date by the time anyone actually reads it. Without a solid, automated gate process, you aren’t actually optimizing your supply chain or your assets; you are simply reacting to problems as they arise. Every other decision in the yard, from dock scheduling to labor allocation, flows from that single point of entry.
What is your forecast for the future of yard management?
I believe we are moving toward a future where the yard is no longer a “black hole” in the supply chain but a fully integrated, autonomous node that communicates directly with the warehouse and the carrier networks. As computer vision becomes more refined and less reliant on specialized hardware like RFID tags or drones, we will see yards that can manage themselves with minimal human oversight, identifying and solving bottlenecks before they ever impact the dock. The focus will shift from simply “knowing where things are” to “knowing what to do with them” automatically based on real-time demand signals. Ultimately, the companies that thrive will be the ones that treat their yard data with the same level of precision and urgency as their financial data.
