In 2025, fulfillment leaders aren’t struggling to identify automation opportunities. They’re struggling to scale it effectively.
Talk to any fulfillment operator who’s added automation in the past few years, and you’ll hear the same story. The robots work fine. The software does what it’s supposed to do. But getting everything to work together? So, it’s no longer about how much automation you have. It’s about whether your systems actually talk to each other.
With demand more volatile than ever, labor costs rising, and capital budgets under pressure, fulfillment leaders aren’t asking, “Should we automate?” They’re asking, “What actually helps us operate, adapt, and grow?”
According to a panel of logistics veterans and investors at ProMat 2025, the answer is clear: orchestration.
Why Legacy WMS Can’t Keep Up
Warehouse Management Systems worked fine for decades. They were built for predictable, stable operations. But that world doesn’t exist anymore.
Today’s fulfillment centers deal with:
- Thousands of different products
- Massive seasonal spikes
- Labor shortages and turnover
- Multiple distribution points
- Customers who expect everything faster
“You don’t need a WMS. You need a platform that orchestrates humans, robots, inventory and layout.”
– Erhan Musaoglu, CEO of Logiwa
This isn’t just a theory. Operators who’ve made the switch report faster cycle times, better pick accuracy, and smoother operations when demand or staffing changes.
AI’s True Role: Amplifying Human Intelligence, Not Replacing It
One big myth AI continues to battle in fulfillment: that it’s here to take over human jobs. In reality, it’s showing up as a thinking partner, helping teams act faster, with better information.
“We’re building agents and everything to compile that information for us. So I can spend 10%, 15% of my time compiling and theoretically 80% of my time thinking.”
– Will O’Donnell, Global Head of Corporate Development at Prologis
AI is now embedded across daily warehouse operations in many ways:
- Dynamic slotting that adapts to real-time demand patterns
- Real-time pick planning that optimizes routes continuously
- Computer vision quality control that catches errors before they ship
- Predictive labor planning that anticipates staffing needs
What previously required entire teams of analysts can now be surfaced as actionable insights within minutes. However, AI only delivers value when it’s strategically aligned with operational goals, not when it’s added technological novelty.
Curious about the complete ProMat discussion? Our podcast episode dives deeper into these AI insights and more strategic tech decisions facing 3PLs today.
Why Most Automation Projects Never Scale
While vendors consistently promote automation success stories, the reality is more sobering: many projects never reach full deployment. Most pilots don’t fail because the tech is bad. They fail because operators aren’t involved early, and success isn’t clearly defined.
“Pilot projects need day-to-day operators, not engineers, to validate success. You can’t get ROI unless your operators can actually run it. That means reversible tech, small tech, and metrics-driven pilots.”
– Marv Cunningham, Global Head of Operations at Prologis
Gartner research backs this up. They found that 52% of automation pilots fail to scale because regular staff can’t handle the solution after the engineers leave.
The key lesson? Pilot the pain point, not the platform.
Small Warehouses Can Win Too
You don’t need a giant facility to benefit from orchestration. Most of the complexity in fulfillment happens in the same spot, i.e., picking and packing.
“70% of the complexity lies in picking and packing. That’s where orchestration needs to focus.”
– Erhan Musaoglu, CEO of Logiwa
Many affordable orchestration tools offer impressive ROI timelines:
- Camera-based pick validation systems
- AI-driven pack planning optimization
- Robotics-as-a-Service (RaaS) models with flexible deployment
These solutions increasingly offer plug-and-play deployment capabilities with sub-six-month ROI potential.
Fulfillment IQ’s internal data shows that mid-sized 3PLs using modular orchestration + lightweight automation see a 22% labor cost reduction per order within six months.
For a closer look at how AI is helping fulfillment teams make faster, smarter orchestration decisions, read Logiwa’s blog post.
Integration > Innovation
APIs are getting better. Vendor partnerships, stronger. But the biggest breakthrough isn’t a new robot. It’s making everything you already have work together.
“If you can’t get your systems to talk to each other, nothing else works.”
– Marv Cunningham, Global Head of Operations at Prologis
From inbound receiving processes to outbound label printing, orchestration serves as the connective tissue between fragmented systems. This integration is what enables genuine visibility, operational speed, and scalable growth.
Moving Beyond the Automation Mindset
If your fulfillment operation still runs on duct-taped systems and manual workarounds, it might be time to rethink the foundation.
The shift from automation to orchestration represents a strategic transformation that positions fulfillment operations for sustainable, scalable growth in an increasingly complex marketplace.
In 2025, success won’t be about which tools you buy. It’ll come down to how well those tools work together to create systems that adapt, scale, and perform, day after day.
Want to see how orchestration could simplify your fulfillment stack?
Let’s talk about where your biggest friction points are, and how we can remove them.
