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Imagine a supply chain that doesn’t just react; it reasons. That anticipates, evaluates, and adapts continuously, intelligently, and autonomously.

With the Oslo Release, ketteQ takes another bold step toward realizing that vision.

This isn’t just another upgrade. It’s the moment when agentic AI meets strategic control, bringing precision, accountability, and enterprise-wide coordination to adaptive supply chain planning.

From Dubai to Oslo: The Next Chapter in Adaptive Planning

When introducing the Dubai Release earlier this year, we set a new standard for speed, intelligence, and adaptability in supply chain planning. Powered by our patent-pending PolymatiQ™ agentic AI engine, Dubai was the agentic leap, a breakthrough that transformed how planning intelligence operates.

Now comes Oslo, the release that delivers strategic control over that intelligence.

Where Dubai empowered planning teams to explore thousands of possible futures, Oslo gives leaders the visibility, governance, and control to steer them.

It’s the bridge between agentic autonomy and business accountability, where adaptive planning becomes strategic.

Why Oslo Matters

Global supply chains are under increasing pressure from rising tariffs, trade disruptions, unpredictable demand, and evolving customer expectations. Traditional systems were built for stability. Oslo is built for volatility.

With Oslo, organizations can:

  • Unify strategic, tactical, and operational planning under one adaptive intelligence framework.
  • Balance automation with human oversight, maintaining complete control over the actions of AI agents.
  • Enhance collaboration across departments through seamless integration with enterprise systems, including Salesforce.
  • Drive measurable financial and operational value by aligning every plan with business outcomes, not just forecasts.

The result is a planning environment that’s smarter, faster, and always learning, helping organizations make better decisions in less time and with greater confidence.

Powering Strategic Agility with PolymatiQ™

At the core of Oslo is PolymatiQ, our agentic AI solver engine. It creates thousands of intelligent agents that self-organize to explore scenarios, evaluate trade-offs, and generate optimized plans.

With Oslo, PolymatiQ gains new layers of enterprise orchestration—enabling users to:

  • Assign and prioritize agentic objectives.
  • Govern agent actions through user-defined policies.
  • Align AI-driven outcomes with business rules and constraints.

In short, Oslo gives organizations control over the intelligence that drives them.

The New Era of Agentic Supply Chain Planning

The Oslo Release represents the evolution of adaptive planning—from intelligent automation to strategic agentic collaboration.

It’s the foundation for what’s next: a world where planning systems continuously learn, self-tune, and align every operational decision to strategic intent.

For companies seeking resilience, agility, and measurable ROI, Oslo is where adaptive planning becomes a competitive advantage.

Explore Oslo

The Oslo Release isn’t just a product launch; it’s a realized supply chain planning vision.

Visit the Oslo landing page to explore:

Discover how ketteQ Oslo empowers your supply chain to think, act, and adapt like never before.

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About the author

Sneha Bishnoi
Sneha Bishnoi
Vice President of Product Management

Sneha Bishnoi is Vice President of Product Management at ketteQ, where she leads product strategy and innovation for adaptive supply chain planning solutions built on Salesforce. She has extensive experience implementing legacy supply chain planning systems at leading companies worldwide, giving her a unique perspective on the limitations of traditional approaches and the opportunities unlocked by modern, AI-powered planning. With a background spanning product management, consulting, and data science, Sneha brings deep expertise in operations research, advanced analytics, and digital transformation. She holds a master’s degree in operations research from Georgia Tech and a Bachelor of Engineering in Computer Engineering from the University of Mumbai.

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