What if your supply chain’s biggest threat isn’t tech failure, but invisible lost value?

A warehouse management system can start off perfectly configured to the business requirements of the moment. Then, six months later, customer expectations shift, product flows change, and new operational demands emerge.

That reality sits at the center of a recent conversation between LeverX supply chain leaders Dmitry Antonovich and Jacob Ladson on The Future of Supply Chain podcast.

Despite those changes, the system designed to support the business often remains stuck in its “go-live” state. And the sooner organizations recognize that gap, the more likely they'll continue to improve over the long term.

Acknowledging the cost of a system that stays still

After go-live, most organizations enter a stabilization phase that gradually turns into stagnation. The issue isn't a lack of effort. It’s due to how success is defined.

"The momentum fades because many organizations view go-live as a project completion rather than a capability launch," Antonovich observes. “As teams focus on keeping operations running, they often overlook that slotting strategies, labor standards, and other operational assumptions are already outdated.”

Small inefficiencies begin to accumulate. New requirements are managed through workarounds. Temporary fixes become permanent ways of operating. Processes that once matched every business need become increasingly disconnected from how work is actually getting done.

Such operational drift rarely announces itself when shipments are going out the door and performance reports suggest everything is running as expected. By the time leaders recognize what's happening, they're often untangling months or even years of process changes, exceptions, and operational adjustments that have gradually reshaped the operation.

That doesn't happen because employees are resisting the system. More often, they're adapting to changing conditions and finding faster ways to get the work done.

"Warehouses are like water. They're going to find the path of least resistance," adds Ladson. “These workarounds that make processes more efficient become standard operating procedure—and the system becomes out of date.”

Finding the real story beyond the numbers

Take, for example, a company operating at lower efficiency and throughput than it had achieved before implementation. At the time, warehouse activities appeared to be functioning as orders kept moving and work got done.

But a closer look revealed a very different reality.

Wave templates had been configured in a way that caused orders to be split and combined incorrectly. As a result, packers spent valuable time searching for inventory needed to complete orders.

The problem was hard to spot because the symptom and its source were so separate. Workers felt slowdowns on the floor, but the root cause was deep within the system's configuration.

Once identified, the company redesigned its wave process, optimized inbound flows, and streamlined outbound operations. But the fix itself wasn't the most important part of the story.

"The real big win is that the company is fully invested in a continuous improvement lifecycle for its warehouse," Ladson explains. The company continued refining processes, redesigning operations, and investing in new capabilities long after the initial issue was resolved.

That commitment to continuous improvement becomes even more important when organizations look at the functionality they already own.

Features such as slotting, labor management, and interleaving are often pushed into the second or third phase of the implementation strategy. This decision often makes sense at the time, especially when teams are focused on reducing risk and getting the operation live.

"A year or two years go by, and you're like, 'Oh yeah, we did have a plan to do that,'" remarks Ladson.

For companies searching for the next source of value, the implication is difficult to ignore. Some of the most valuable improvements may already be sitting inside systems they have purchased, licensed, and deployed.

Evolving for the next era of supply chain advantage

The organizations best positioned for the future may not be the ones making the largest technology investments. They may be the ones getting the most value from the systems they already have.

Many warehouse activities still rely on employees to coordinate work, manage wave templates, and determine what tasks should be released to the floor. Much of that work follows repeatable patterns that are becoming increasingly suitable for AI and automation.

However, the goal isn't to remove people from the process. As exceptions emerge, employees remain responsible for making decisions and keeping work moving, while technology takes on more of the repetitive coordination activities.

But those opportunities depend on something far less glamorous than AI itself.

"Your system must live with a clean core and data integrity", explains Antonovich. “That is a foundation for the future.”

The future of the supply chain may be shaped by AI, automation, and new technologies. Yet the organizations best positioned to benefit from them may be the ones doing something far less exciting today: continuously improving the systems they already have.

Don’t miss the full conversation

Listen to the full episode to hear Jacob Ladson and Dmitry Antonovich discuss operational drift, warehouse optimization, clean core strategies, agentic AI, and how organizations continue creating value long after go-live.