The supply chain only works when everyone works together.
Where supply chains are going. Where we’ve been all along.
You’ve optimized everything inside your four walls. What about everything between them?
For decades, supply chain technology focused on what happens inside one company. Better forecasting. Tighter inventory. Faster warehouse operations. That work mattered, and it still does.
But the gaps that hurt most aren’t inside companies anymore. They’re between them. The handoff from supplier to retailer. The coordination between brand and logistics provider. The compliance requirements that change without warning. The exceptions that cascade across three organizations before anyone notices.
Gartner calls this shift “multi-enterprise collaboration.” IDC talks about “multi-enterprise supply chain commerce networks.” The language varies, but the direction is clear: the next generation of supply chain performance comes from working more seamlessly across trading partners, not just optimizing what happens within your own walls.
The question isn’t whether this shift is happening. It’s who you trust to lead it.
A network isn’t a platform with more integrations.
Multi-enterprise collaboration requires a different architecture. Not a system you configure, but shared infrastructure that already understands how trading partners work together.
In a true network model:
Complexity is managed once, for everyone.
New relationships don't mean new integration projects.
Your partners are likely already connected. Onboarding happens swiftly and purposefully, because the groundwork exists at the network level.
Intelligence compounds across the ecosystem.
Every transaction, every exception, every resolution teaches the network something. That learning benefits everyone connected, not just the company that experienced it.
This is the model analysts are pointing to. But not every company claiming the category delivers it the same way.
“Intelligent” isn’t a modifier. It’s the difference.
Plenty of supply chain vendors are adding AI. Most of them are layering machine learning on top of the same siloed data their systems have always used. That’s AI as a feature.
The SPS Commerce network is different. Intelligence isn’t bolted on. It’s trained on 25 years of real supply chain operations. How partners actually behave, where handoffs break down, what patterns precede problems. The network learns from outcomes, not just activities.
This is what makes agentic capabilities possible. The network doesn’t just surface alerts. It recognizes when something deviates from known patterns, corrects common issues automatically, and takes action within defined guardrails. Your team handles decisions that require human judgment. The network handles the rest.
Most supply chain AI is trained on models. Ours is trained on what actually happens.
300,000+ trading relationships
750M+ transactions each year
33M+ product SKUs
50,000+ subscribing customers
400+ system automation partners
One network to connect, orchestrate, and optimize how you work with partners.
The SPS network delivers value through five integrated layers:
The Network
Embedded Expertise
Expansive Ecosystem
Multi-Solution Portfolio
Agentic Intelligence
50,000+ retailers, suppliers, distributors, and logistics providers run their trading relationships through SPS Commerce.
%
Faster onboarding for new trading partners and systems
%
PO Management Productivity Gain
%
Reduction in Stockouts through improved on-shelf availability
%
Fewer Invoice Exceptions
%
ROI in three years
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