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The supply chain world is waking up to the power of agentic AI which are systems that don’t just process data but actively sense, adapt, and act with minimal human intervention. But long before “agentic AI” had a name and entered the supply chain planning dialogue, ketteQ was already building it.

Industries from customer service to finance to cybersecurity are rapidly adopting AI-driven agents that automate decision-making and optimize operations. Salesforce is all in on this shift, doubling down on AI with AgentForce, a vision for AI-powered assistants that help businesses drive productivity and intelligence. Marc Benioff even suggested that Salesforce could one day be renamed “AgentForce,” which is a testament to the growing importance of agentic AI across industries.  

ketteQ is ahead of this curve. Built on Salesforce, ketteQ brings the power of AI agents to supply chain planning, transforming how companies forecast, plan, and adapt. At the core of our approach is PolymatiQ™, a revolutionary agentic AI-powered solver designed to continuously learn, self-tune, and optimize supply chain decisions in real time. Unlike legacy planning systems that rely on rigid rules and static parameters, PolymatiQ operates with the intelligence and autonomy of an agentic AI system, ensuring businesses stay ahead of disruption, not just react to it.  

Agentic AI in Action: How ketteQ Customers Are Using PolymatiQ

While many companies are still grappling with outdated, manual planning processes, forward-thinking businesses have already made the leap to agentic AI.  

Johnson Controls is using PolymatiQ to automate forecasting and inventory decisions across thousands of parts and distribution centers. The system continuously self-tunes based on real-time demand and supply signals, eliminating the inefficiencies of manual overrides and rigid planning parameters.  

NCR Voyix adopted PolymatiQ to enhance demand planning and improve order fulfillment accuracy. Instead of relying on outdated and often manually maintained forecasts, PolymatiQ runs multi-pass simulations, constantly refining forecasts and adapting to customer demand shifts.  

Carrier transitioned from decentralized, manual planning processes to a global AI-driven supply chain center of excellence, powered by PolymatiQ. The result? Double-digit business growth with lower inventory levels and higher fulfillment rates.  

ACG (Alliance Consumer Group) integrated PolymatiQ with Salesforce to automate promise dates in Sales Cloud, giving their sales and operations teams instant, AI-driven delivery commitments. Instead of guessing at lead times, PolymatiQ determines the best possible fulfillment date in seconds.  

These companies aren’t waiting for the future to arrive—they’re already experiencing the transformative power of agentic AI. Learn more about the transformative value these and other companies are harvesting by reading our customer success stories.

The Problem: Why Traditional Supply Chain Planning Lacks Agency

Most legacy planning tools operate on predefined rules, fixed planning parameters, and siloed data. When disruptions occur, whether due to geopolitical shifts, supplier delays, or sudden demand spikes, these systems fail to adapt dynamically. Instead, they require manual intervention, workarounds, and extensive re-planning, leading to lost revenue, excess inventory, or stockouts.  

This reactive approach isn’t just inefficient—it’s risky. In today’s fast-moving world, businesses need more than static, out-of-date planning approaches, often frozen in time from the point of go-live. They need systems that think, learn, and act.  

The ketteQ Difference: Built for Adaptation from Day One

We designed our planning platform based on a deep understanding of the limitations of legacy planning solutions firsthand. That’s why they built a different kind of supply chain solver—one that doesn’t just calculate the best path forward, but discovers it dynamically through multi-pass simulations, probabilistic modeling, and adaptive scenario analysis.  

What Makes PolymatiQ an Agentic AI?

Self-Tuning Scenarios – PolymatiQ doesn’t wait for users to define parameters. It continuously refines its models, identifying the best decisions based on real-time data.  

Automated Problem-Solving – Instead of requiring planners to manually adjust parameters, PolymatiQ proactively detects patterns, risks, and opportunities, offering optimized solutions before disruptions occur.  Intelligent Decision Execution – It doesn’t just suggest outcomes—it provides real-time course corrections and recommendations, reducing the need for constant human oversight.  

Agentic AI: The Future of Supply Chain, Already in Motion

The industry is just now recognizing the value of AI-driven autonomy, but ketteQ has been engineering this future for years. PolymatiQ embodies the principles of agentic AI, enabling supply chains to function with the same adaptability and intelligence as self-driving systems in transportation.  

And with Salesforce making AI agents the center of its vision, including AgentForce and Benioff’s bold suggestion of a possible rebrand, it’s clear that this shift isn’t just hype. It’s the next evolution of business.  

The shift toward semi-autonomous supply chain planning isn’t a distant dream—it’s happening now. And it’s happening first with ketteQ.  

What are your thoughts on the impact of AI-powered solutions in global supply chains? Share your insights in the comments below!  

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About the author

Chris Amet
Chris Amet
Chief Technology Officer

Chris has over 20 years of experience leading innovative software solution design, development and implementations across a wide range of market sectors.

His renowned expertise in harnessing emerging technologies to solve complex supply chain problems will be instrumental in propelling ketteQ's already innovative product development and technology strategy to new levels. Prior to joining ketteQ, Chris held key roles in product development and leadership at Genpact, Barkawi Management Consultants, Servigistics, Lockheed Martin, and General Dynamics.

Chris received his Bachelor of Science in Electrical and Electronics Engineering from Drexel University.

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