Kinaxis

Proxy Statement filed 2026-09-24

Material Event filed 2026-09-21

From pattern recognition to agent design: What Remix cohort 2 winners showed us lnguyen Wed, 09/09/2026 - 15:33 When Remix cohort 2 began, we posed a question: What happens when partners take patterns they have seen across supply chain transformations and turn them into agents ? Fourteen partner teams took on the challenge. After two weeks of building, the winning submissions gave us a few answers. What stood out was not that teams had uncovered entirely new planning problems. Instead, the winners focused on familiar moments where decisions become difficult: when assumptions change faster than the planning cycle, when a commercial opportunity creates operational uncertainty, or when identifying risk is only the beginning of resolving it.   That distinction matters. Familiar problems, reframed  EY , the overall winner of this cohort, explored what happens when events invalidate the assumptions behind an S&OP plan between formal planning cycles.  Accenture , winner of

Automotive suppliers carry the risk but not the control sbuck Tue, 09/08/2026 - 10:04 If you’re an automotive supplier, you’ve undoubtedly noticed that the old assumptions no longer hold.   For decades, you built your business around a relatively stable set of assumptions. Yes, there was always a certain amount of unpredictability, but for the most part, vehicle platforms changed with predictable timelines. Demand signals flowed through established channels. Supply chain efficiency was the gold standard that everyone was optimizing toward. When disruptions occurred, they were relatively rare, rather than a fixed feature of the operating environment.   But today, you’re navigating a combination of intensifying market pressures while still being asked to meet cost, quality, delivery, and customer commitments. OEM production schedules change more often. Vehicle technology roadmaps continually evolve. Volatility in supply networks is now the norm. Geopolitical challenge

Why "AI adoption" is the wrong thing to celebrate in supply chain ssreedhar Tue, 08/25/2026 - 15:54 I talk to supply chain and IT leaders every week about where AI actually delivers value versus where it just adds noise. So when IDC shared research surveying over 2,000 supply chain professionals across every industry and geography, I wanted to see if the data matched what I'm seeing on the ground. Mostly, it did, and it sharpened a few things I've believed for a while. 1. Adoption is easy. Accountability to an outcome is hard. Nearly every company I talk to has AI touching their supply chain somewhere: the IDC data puts it at 98%. But only 12% consider themselves leaders. That tracks with what I see constantly: it's not hard to stand up a pilot anymore. AI has democratized access to data and to modeling. What's hard is building something that's actually accountable to a business outcome, with the guardrails and governance to back it up. 2. Trust is a design problem, not a data pro

Leading people to the best result | Creation Technologies hdiniz Tue, 08/25/2026 - 12:04

Building a winning team | Creation Technologies hdiniz Tue, 08/25/2026 - 12:03

Adapting to change | Creation Technologies hdiniz Tue, 08/25/2026 - 12:02

Work-life balance | Creation Technologies hdiniz Tue, 08/25/2026 - 12:01

Supply chain as a value center | Creation Technologies ssreedhar Tue, 08/25/2026 - 12:00

Operationalizing AI: The new operating model for always-on intelligence ssreedhar Mon, 08/24/2026 - 19:13 AI has moved well beyond experimentation. Across industries, companies are investing heavily in AI to improve planning, automate processes, and help employees make better decisions. The potential is enormous. Yet many organizations are discovering a fundamental challenge: Knowing what AI can do is very different from operationalizing it. The next wave of enterprise transformation will not come from adding another AI application or deploying another copilot. It will come from embedding intelligence into the way the enterprise operates — continuously sensing what is changing, understanding what it means, deciding what to do, and acting on those decisions. At Kinaxis, we call this operational orchestration. It is the evolution from AI that assists with individual tasks to AI that becomes part of the enterprise operating model. The supply chain is an ideal example. Every day, organizat