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Imagine a supply chain planning solution that doesn’t just respond to disruptions; it anticipates them. One that doesn’t simply analyze but learns, adapts, and recommends continuously, automatically evolving with every signal of change it anticipates. One that doesn’t simply analyze but learns, adapts, and recommends continuously, automatically evolving with every change. That future isn’t theoretical. It’s here with ketteQ’s Dubai Release.

Inspired by the bold transformation of one of the world’s most advanced cities, the Dubai Release marks a leap forward in how companies plan, respond, and perform—powered by PolymatiQ™, the world’s only agentic AI solver engine purpose-built for supply chains, Dubai ushers in a new era of semi-autonomous, continuously adaptive planning. It’s not just smarter; it’s planning in motion.

From Reactive to Proactive: Agentic AI, Realized

Legacy systems were built for a different era. They rely on rigid workflows, batch updates, and static models built for stability, not today’s volatility. In a world where tariffs can change overnight, supply chains can be rerouted instantly and customer expectations are a moving target, that approach is no longer enough. Dubai changes the rules.

PolymatiQ™ doesn’t just analyze; it acts. It autonomously tests thousands of planning scenarios in real time, senses internal disruptions, including economic shifts, trade wars, and tariff impact and continuously adapts to deliver optimized and intelligent recommendations. This is planning that evolves. Planning empowers humans, not replaces them. Planning gets smarter with every cycle.

With Dubai, planners shift from reactive firefighting. They become strategic orchestrators, navigating complexity at speed and with confidence.  

What’s New in the Dubai Release

Dubai isn’t just another supply chain software update. It’s a carefully architected response to the challenges manufacturers, distributors, and service organizations face today. Here are the innovations that define this release:

  • PolymatiQ™ Engine Enhancements
    At the core of Dubai is a smarter, faster, continuously learning PolymatiQ engine that enables scenario-based optimization and intelligent automation at scale.
  • Two-Stage Production Planning
    Plan primary and secondary production layers simultaneously to improve throughput, reduce waste, and maximize asset utilization.
  • Economic Signal Sensing: Tightly integrates macroeconomic signals, including tariffs, interest rates, and trade policy changes, so plans align with real-world financial and geopolitical dynamics.  
  • KPI-FVA and Plan Adherence Reporting
    Built-in performance tracking gives teams the ability to measure what’s working and what’s not, with actionable insights to support continuous improvement.
  • Advanced Allocation Intelligence
    Dynamic allocation logic supports forward, backward, and non-blocking strategies across complex networks, prioritizing demand with flexibility and speed.
  • Generative AI Embedded Guidance
    A conversational user interface powered by generative AI helps planners make faster decisions with greater confidence, reducing friction and improving productivity.

Designed for Decision Velocity

In a world where supply chain disruptions are constant, speed isn’t optional. It’s essential.

Dubai is engineered for decision velocity:  

  • Shorter planning cycles,  
  • Smarter scenario exploration
  • Faster, more confident responses to change

And because Dubai is built natively on Salesforce, it integrates deeply into enterprise workflows. This means faster deployments, real-time data harmonization, and an intuitive experience for users already familiar with the platform.

For CIOs and supply chain leaders alike, this translates into real world measurable value fast with no steep learning curves of endless implementation cycles.

As Rick McDonald, Retired, Chief Supply Chain Officer at The Clorox Company and Chairman of the ketteQ Executive Advisory Board, puts it:

“Dubai doesn’t just respond to change; it anticipates it. With agentic AI at its core, this release gives supply chain leaders the power to make faster, smarter decisions with measurable business outcomes. This is the kind of innovation that separates companies that react from those that lead.”

Turning Disruption into Advantage

Dubai isn’t just the next step after our Tokyo release; it’s a bold leap forward toward semi-autonomous planning. While Tokyo brought real-time adaptability and scenario intelligence to life in late 2024, Dubai builds on that foundation with agentic AI automation, embedded generative AI, and advanced signal sensing across economic and geopolitical factors, all seamlessly into the supply chain planner’s natural workflow.  

Supply chains will always need human oversight, but with Dubai, planners can operate at a more strategic level, using AI as a proactive partner to outpace volatility, adapt faster and achieve better results with less manual effort.  

At a time when new tariffs, trade war restrictions, and economic shifts are redefining global commerce, the timing of Dubai’s arrival couldn’t be more critical. It equips organizations not just to withstand disruption—but to turn it into a competitive advantage.  

Ready to Lead, Not Follow?

If you’re ready to break free from the limitations of static systems and legacy workflows, the Dubai Release was built for you.  

Explore the Dubai Release here.

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About the author

Mark Balte
Mark Balte
Vice President of Product Management

Mark has over 38 years of Supply Chain experience leading visionary technology innovations that drive transformative process changes which result in significant financial and quantitative results for clients. He is renowned for his unique ability to formulate a visionary strategic road map which applies technology to solve complex supply chain challenges.

Prior to joining ketteQ, Mark held key executive leadership positions at Logility including overall responsibility for Research and Development, Product Management, Analyst Relations, Thought Leadership, Acquisitions.

Mark received his Bachelor of Science in Mathematics from Sewanee (University of the South) and his Master of Science in Operations Research from Georgia Tech.