Paul A. Mohabir is head of IT at Transervice Logistics.
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Logistics has traditionally been seen as a straightforward operational business: You pick something up at point A and deliver it to point B, with the focus on keeping things moving.
That model no longer holds up, however. Companies like Amazon have permanently changed how customers think about delivery. Clients now expect faster delivery and real-time shipment visibility, as well as immediate answers and results when issues arise.
In many ways, logistics now resembles air traffic control. There are moving parts everywhere, constant pressure to stay on schedule and very little room for error. Technology helps create the visibility and coordination needed to keep everything moving safely and efficiently.
This shift has also changed the CIO's role in logistics. Years ago, the job centered on infrastructure and systems. Today’s CIO is a strategist, operations leader and customer experience architect in one. The job is now to make clients feel they chose a strategic partner that actively helps them grow.
One of the biggest mistakes I see is companies chasing technology without fully understanding the customer problem they’re trying to solve. Too often, organizations overpromise capabilities that don't hold up in practice.
Technology initiatives work best when they start with the customer's business model. Every company operates differently: A retailer has different priorities than a healthcare distributor, and a customer shipping temperature-sensitive products has different concerns than one shipping dry goods. If you don’t understand those differences, the technology can become disconnected from the operation itself.
Customers want more than shipment updates; they want confidence that their logistics partner understands how their business works and can help improve efficiency over time. That is why logistics leaders should step back before implementing new systems. Start with a business overview, aiming to understand what the customer is trying to accomplish. Only then connect that understanding to operations, reporting and analytics in ways that support their goals.
For many customers, the logistics relationship still feels transactional. They receive an invoice for pickup and delivery without much insight into what drives the cost.
Visibility changes that relationship. When customers can see how things like weight, distance, fuel costs, mileage or risk affect pricing, the entire conversation becomes more collaborative. Visibility might come through a web dashboard, tools like Microsoft Power BI or guest access into internal systems. The specific platform matters less than the result: Customers get a clearer picture of what is happening inside the operation, seeing where efficiency can be improved and where operational changes can help bring costs down.
AI is becoming deeply embedded in logistics operations, and that will only keep accelerating. We are already seeing the technology put to use in intelligent routing, predictive maintenance and demand forecasting. Better route management can reduce fuel costs as gas prices rise, smarter load management can improve driver efficiency and data analysis can flag bottlenecks before they cause delays.
But technology still needs human oversight. That means organizations should use automation to remove repetitive administrative work so employees can focus on decision-making and client relationships. AI should help teams work smarter by flagging problems early and encouraging proactive communication with customers. The goal is not to replace experienced employees but to give them better tools to make faster, more informed decisions.
Logistics companies generate huge amounts of operational data every day. The real opportunity comes from converting that data into actionable intelligence for customers. Can we predict delays before they impact store inventory? Can we provide more accurate ETAs? Can we proactively communicate issues before customers need to ask questions? Those capabilities are becoming increasingly important for major retail clients, where timing and inventory visibility directly affect the customer experience.
Technology investments should always connect back to measurable customer value, such as quicker issue resolution and more accurate forecasting. Innovation only works when customers actually see and feel the improvement.
At the end of the day, logistics innovation comes down to a simple question: Are we truly helping the customer grow? That means carefully examining every part of the process. Are products packaged efficiently? Are pallets weighed correctly? Are telematics helping drivers avoid unnecessary risks or delays? Are we delivering products safely while still meeting timelines? Understanding customers’ needs and executing consistently will be what sets winners apart.
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