Supply chains are not unsuccessful due to a scarcity of trucks or warehouses. It’s the lack of awareness among the individuals managing them that leads to a failure to take timely action. Visibility, or in other words, the capability to know the location of the products, their destination, and the causes of delays, is the most important factor in determining the functionality of all other components.
The Infrastructure Question
All of the processes described above cannot function effectively without a core that can support them. It is necessary to direct all flow of real-time tracking data, Electronic Logging Device feeds, carrier performance metrics, API connections to and from the dispatch platforms and warehouse systems somewhere to process it and make it manageable. For most companies, the answer starts with getting tms software in place.
Transport management systems can take all of these fragmented data pools and consolidate them into one single source of truth. They present real-time information in a digestible way from which to make immediate decisions. Significant savings can come by integrating all of that, as manual rekeying of data constantly errors the human touch of double entry. Every copy comes with discrepancies and inclusions.
Cloud infrastructure has made that more available. A decade ago it cost millions of dollars to even get out of the starting gate with an ownership model TMS. Now, you can be up and running after an affordable implementation. The cost comes in configurations and integration which, in that operational silo world we’ve been describing, will often still necessitate some of the same custom interfaces and manual entries as before.
From Passive to Active Operations
Many transport operations are reactive. A shipment is late, a customer calls, and someone tries to figure out what happened. By the time the answer is found, service disruptions have caused rescheduled crews, missed time slots, and unhappy clients.
When you have real-time visibility, everything changes. When a manager sees a truck stuck in traffic or a driver falling behind but the truck is still in motion, alternatives can be found. Send it to a different location. Inform the destination of the delay. Reassign the next pickup. The intervention window is open, and it closes the moment the cargo arrives at the wrong place, at the wrong time.
This is the difference between a passive supply chain and an active one. Passives react to situations. Actives manage them.
Data Transparency as a Cost Control Tool
A more technical, less emotional discussion is possible. However, the financial argument stands on its own merits. Access to this form of data about routes, idle time, and return-of-the way empty trips provides transport operators with irrefutable evidence on the loss of revenue.
Deadhead miles are a clear proof of concept. Carriers can visualize, in a single platform, their routes and their capacity. As a consequence, they will be able to book return trips that would be executed empty. No investment in additional trucks. No need for added fuel. No increased maintenance. No second thoughts on driver hours. And lower emissions. The numbers speak for themselves, data is the solution.
Only 21% of supply chain professionals believe they have high visibility and the agility to shift operations quickly during a disruption (Gartner). This means that the remaining 79% are still managing their operations ad hoc, without utilizing real-time information.
Visibility as a Competitive Advantage, Not a Back-End Function
This is the conversation that has evolved over the last several years. Visibility used to be a tool for internal use, something the dispatchers worried about, not something the customers saw. No longer the case.
B2B buyers expect the same visibility from their transportation suppliers as they get from their consumer parcel services. Live tracking links. Accurate ETAs. Proactive delay notifications. When you can offer that, it’s not just a perk, it’s a reason to be sticky as opposed to a reason to switch.
B2C is perhaps an easier case. Last-mile is absurdly expensive and complex operationally, but the actual end-consumer only sees how well you track and communicate since that’s all they experience. It’s not “visibility” as your logistics team knows it, it’s visibility as the customer knows it.
From Descriptive to Prescriptive Data
The last change that can push step-change improvement is how transport visibility widens its remit once it’s fully embedded. Early-stage visibility answers an easy question: what happened? A vehicle was late. A route exceeded the estimate. A carrier missed an agreed slot.
That’s helpful. But it isn’t sufficient.
The more advanced operators are progressively onboarding prescriptive use-cases, turning historical analysis combined with live data feeds into suggestions for operators on what to do next, rather than simply highlighting what they did wrong. Predictive analytics can highlight a route as high-risk before the truck turns a wheel. Performance data can highlight which of your carriers offers the highest on-time reliability for your most time-critical loads before you tender the business. Just-in-time schedules can be designed to tolerate a small delay on one part of the transport plan, rather than shut-down an expensive production line incurring hefty fines, assuming you have both the data and the belief that the delay information is correct.
This is also why visibility should come first in your technology investment game-plan over more exciting AI or robotics. Those hype-cycle darlings are only as smart as the quality and real-time nature of the data that powers them. Sprinkle rubbish in, don’t be surprised if the computer says rubbish back to you, no matter how latest-greatest your algorithm.
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