Kinaxis

4 common AI myths holding supply chains back from real ROI sbuck Mon, 08/10/2026 - 10:16 Supply chain leaders aren’t asking whether AI can create value at a high level anymore. Instead, they’re asking whether AI-generated recommendations are trustworthy, how to measure AI’s ROI, and how to scale the benefits. A new IDC InfoBrief shows just how much the conversation has shifted: only 2% of supply chain organizations have no AI capabilities, yet only 12% consider themselves leaders. This suggests that even as the market grows more discerning about what it expects from AI, myths about what AI can deliver for global supply chains are still holding companies back from gaining benefits sooner.  In this article, we pull back the curtain on four common AI myths and explore the realities of using AI in supply chain planning. Myth #1: AI will take humans out of the supply chain planning loop    Reality: The highest value AI doesn’t remove people from supply chain decisions. It hel

Three winners, three signals for the future of agentic AI lnguyen Thu, 08/06/2026 - 16:17 The first cohort of the Kinaxis Maestro Remix Agent Hackathon has officially concluded, and its three award-winning submissions offer an early look at how agentic AI could reshape supply chain planning. Across the cohort, 18 teams and approximately 100 participants explored how AI agents can help planners investigate issues, interpret complex data, and move from insight to action. Each team brought a different perspective on where agents could create value within Maestro. The three winning teams stood out for different reasons. Together, their submissions reveal three important signals about what will define successful agentic AI. Signal 1: Practicality and completeness matter The overall winner, a leading innovator in robotic automation, developed a well-defined agent concept that connected a clear business objective with a practical end-to-end workflow. The team’s submission went beyond demonstr

Material Event filed 2026-08-06

Exploring AI-enabled forecasting? Here are 3 keys to maximizing its impact ssreedhar Sun, 08/02/2026 - 17:53 From inflation to geopolitical conflicts and weather events, myriad invisible forces shape your customer demand every minute, every day.  Today, every supply chain faces increasing demand volatility, regardless of industry. The potential of AI to improve forecast accuracy under these uncertain conditions is enormous.  But a recent study by McKinsey revealed that  only 9% of companies are actively using AI in the supply chain today . Only 2% have scaled it anywhere in their supply chain planning or operations.  What’s holding companies back? It’s not the technology.  Much of AI's impact on demand forecasting comes from machine learning (ML), the subset of AI that enables systems to learn from data and continuously improve over time. Fueled by ML, today’s advanced demand planning engines excel at identifying patterns and exceptions across thousands of prod

Material Event filed 2026-07-30

Five ways the next generation of chemical supply chain leaders are rethinking agility sbuck Fri, 07/24/2026 - 14:02 As chemical supply chains have faced an almost relentless barrage of geopolitical conflicts, energy price fluctuations, and unpredictable demand patterns, the consensus among industry leaders has been that the supply chains that can react fast when disruption hits will pull ahead. But what if that’s not enough anymore?  The latest conflict in the Middle East is making headlines for the impact on oil and gas prices, but the bottlenecks are having ripple effects on all commodities derived from oil and gas. This includes synthetic graphite and sulfur, which are important components of batteries and microchips. It’s also placed a chokehold on significant supplies of helium, aluminum, and chemicals used for fertilizers.  Some companies are stockpiling essential chemicals to weather this storm. But chemical suppliers and producers don’t know if this demand spike signa

PwC PwC is a global leader in operations and supply chain transformation, combining strategy with deep knowledge of how businesses actually run. Built for high-stakes, regulated environments, PwC works with client teams to modernize processes, speed execution and improve margins. With more than 370,000 people in 149 countries, PwC keeps operations and supply chains ready for what comes next. https://www.pwc.com/ca/en hdiniz Fri, 07/24/2026 - 13:37 Partner Type System Integrator Partner Region North America PwC Reach out to learn more, ask questions or request a meeting.  GET IN TOUCH  

Inside Remix judging: What makes AI Agents valuable lnguyen Fri, 07/24/2026 - 11:22 Submissions are officially in for the first cohort of the Maestro Remix Agent Hackathon .  As judges begin reviewing submissions, they're looking beyond the ideas themselves. They're evaluating whether each agent addresses a meaningful business need, delivers practical value, executes clearly, and gives users an experience they can understand and trust.  Business need: Is the problem worth solving?  Teams spent weeks exploring challenges that take up planners’ time every day, from comparing forecasts and explaining gaps to tracking supply risks and reducing manual work.  The question for each team is: How did you turn that challenge into an opportunity?   The strongest submissions make the need immediately clear. They show what's getting in the planner’s way, why the challenge is worth solving, and how an agent could help users act sooner, understand changes faster, or spend les

Inside Remix judging: What makes AI Agent valuable lnguyen Fri, 07/24/2026 - 11:22 Submissions are officially in for the first cohort of the Maestro Remix Agent Hackathon .  As judges begin reviewing submissions, they are looking beyond the idea itself. They are evaluating whether each agent addresses a meaningful business need, delivers practical value, executes clearly, and gives users an experience they can understand and trust.  Business need: Is the problem worth solving?  Teams spent weeks exploring challenges that take up planners’ time every day, from comparing forecasts and explaining gaps to tracking supply risks and reducing manual work.  The question for each team is: How did you turn that challenge into an opportunity?   The strongest submissions make the need immediately clear. They show what is getting in the planner’s way, why the challenge is worth solving, and how an agent could help users act sooner, understand changes faster, or spend less t

Trillium Digital Services Trillium Digital Services is a provider of enterprise digital transformation services, specializing in advisory, implementation and managed delivery across IT, finance, HR, operations and supply chain. Combining strategic guidance with hands-on execution, Trillium helps organizations maximize existing technology investments, unlock operational value and accelerate business outcomes. The company’s expertise spans AI implementation, process automation and systems integration. www.trillium.digital hdiniz Thu, 07/16/2026 - 16:25 Partner Type System Integrator Value Added Reseller Partner Region North America Trillium Digital Services Reach out to learn more, ask questions or request a meeting.  GET IN TOUCH  

Simple, focused, valuable: What Remix is teaching us about building AI agents lnguyen Thu, 07/09/2026 - 14:48 The Kinexions Maestro Remix Agent Hackathon is entering the final stretch of the build phase, and the story is no longer only about what AI agents can do. It is about how teams are deciding where agents can create real value in supply chain planning. Across Remix, teams are building agents for challenges in forecasting, inventory, supply, and more. The use cases vary, but one thing has stood out throughout the build phase: Participants are not just experimenting with technology. They are making design choices grounded in the realities of planning work. That is where some of the most interesting learning is happening. What decision should the agent support?  Some teams are starting with a simple question: What the decision does a planner needs to make? In supply chain planning, the hard part is often not finding more data. It is understanding what changed, what matters, and