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Kinaxis

Leader#4 in Logistics & Supply Chain

$483.11M revenue 2024 (+13.15% YoY); $535-550M projected 2025; $391M ARR Q2 2025; 17% SaaS growth Q4 2024; 4th consecutive Rule of 40 quarter; customers: Ford, Cisco, Qualcomm

Best for: Supply Chain PlanningMarket leader
80
AI Score
Grade A
AI Visibility Score (Beta)
Logistics & Supply ChainSupply Chain PlanningWebsiteUpdated April 2026

Brand Intelligence Graph

Integrates with
Capabilities
Supply Chain Planning

Company Overview

About Kinaxis

Kinaxis was founded in 1984 in Ottawa, Canada, and has evolved from an early supply chain planning tools vendor into a leading AI-powered supply chain orchestration platform. Listed on the Nasdaq as KXS, the company's mission is to help global organizations achieve supply chain agility — the ability to sense disruptions, simulate scenarios, and respond in real time across complex multi-tier networks. Its RapidResponse platform was purpose-built for concurrent planning, a methodology that connects all supply chain decisions simultaneously.

Business Model & Competitive Advantage

Kinaxis's platform combines demand sensing, inventory optimization, production scheduling, sales and operations planning, and logistics coordination in a single concurrent model. Unlike traditional sequential planning tools, RapidResponse allows planners to see the cascading impact of any change across the entire supply chain instantly. The platform is used by manufacturers in aerospace, automotive, consumer goods, life sciences, and high-tech industries, with customers including Lockheed Martin, Pfizer, and Unilever.

Competitive Landscape 2025–2026

Kinaxis reported $483.11M in total revenue for 2024, a 13.15% year-over-year increase, with $391M ARR as of Q2 2025 and full-year 2025 guidance of $535–550M. The company has accelerated its AI capabilities through its Maestro AI engine, which adds predictive insights and autonomous recommendations to its planning workflows. Kinaxis is consistently recognized as a leader in Gartner's Magic Quadrant for Supply Chain Planning and holds a strong competitive position against SAP IBP and Blue Yonder.

Founded
1984
Headquarters
Ottawa, Canada
Revenue
$483.11M
Curated content • Fact-checked and verified

The Kinaxis Story

Ottawa, Canada
Founded by Duncan Klett and Don Plotnick

The Breakthrough Moment

Kinaxis founded 1984 as Cadence Systems in Ottawa by Duncan Klett and Don Plotnick creating supply chain planning software for complex manufacturing networks. 2005 rebrand to Kinaxis accompanied RapidResponse cloud platform launch enabling concurrent planning and scenario modeling. Serves 250+ enterprises (Ford, Airbus, Unilever) managing demand planning, supply optimization, S&OP processes. 2014 TSX IPO; $420M revenue fiscal 2024. Concurrent planning architecture, multi-tier visibility, rapid what-if analysis compete with Blue Yonder, o9 Solutions, SAP IBP, Oracle Cloud SCM. Pandemic supply chain disruptions validated planning platform value.

Original Mission

"To empower supply chain professionals to know sooner, act faster, and remove waste through concurrent planning and scenario-based decision making."

Founders

Duncan Klett and Don Plotnick

Recent Activity

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From forecast consensus to inventory optimization: The AI agents participants are designing

From forecast consensus to inventory optimization: The AI agents participants are designing lnguyen Tue, 06/30/2026 - 14:56 The AI agents participants are designing during Remix have one thing in common: they solve the everyday challenges that consume planners' time. Rather than chasing futuristic ideas, teams focus on practical applications that reduce manual work, uncover insights faster, and help planners make better decisions. Although every proposal is unique, several clear themes have started to emerge. Smarter demand planning Demand planning generates some of the strongest ideas. Many participants focus on improving the consensus forecasting process by having an agent compare forecasts from sales, marketing, and statistical models, explain significant variances, and recommend a consensus forecast with a confidence score. Others teams explore agents that compare forecast runs using different data inputs, helping planners understand the value of additional signals before deciding

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How Kinaxis is using AI to build better supply chain software

How Kinaxis is using AI to build better supply chain software ssreedhar Mon, 06/29/2026 - 14:00 Robi Khan is Vice President, Supply Chain Solutions at Kinaxis. He is an experienced developer, architect, and manager on a variety of software projects spanning three decades.  Much of today's conversation around artificial intelligence is focused on the experiences users interact with directly—LLM chat, copilots, and AI agents that help people work faster. At Kinaxis, we're also exploring another side of AI: using it to help our engineers build better software. As part of Google DeepMind's AlphaEvolve Early Access Program , Kinaxis researchers have been evaluating how evolutionary AI can improve the sophisticated forecasting and optimization algorithms that underpin our supply chain orchestration platform. Rather than replacing engineers or rewriting our software, AlphaEvolve helps our teams explore new ways to improve mature algorithms that have already been refined over many years.

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Does just-in-time compete with automotive supply chain resilience?

Does just-in-time compete with automotive supply chain resilience? sbuck Mon, 06/29/2026 - 10:46 Six years after a flurry of articles predicted the end of just-in-time production in the automotive industry, that projection has not come to pass. While the disruptions of the last several years have exposed just-in-time’s weaknesses, it’s still the industry default. In this article, we’ll explore why that is, the hurdles that inhibit change, and where the industry might be headed.  Why and how did just-in-time become the global standard of automobile production? Just-in-time manufacturing followed on the heels of decades of consolidation in the automobile industry. However, consolidation didn't solve the problem of limited real estate for plants and warehouses, or the rising cost of storing inventory. In markets like Japan, access to large storage facilities was rare. Also, in the wake of World War II, auto makers needed to prioritize efficiency and eliminate waste.  Enter: Taii

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Inside Remix: Not every problem is an agent problem

Inside Remix: Not every problem is an agent problem lnguyen Wed, 06/24/2026 - 10:34 Agentic AI is changing how people think about what technology can do. It can reason through context. It can synthesize information. It can explain outputs. It can help users move from a question to a recommendation, or from a signal to a next step. That opens up exciting possibilities for supply chain planning. It also raises an important question: should every problem become an agent problem? The answer is no. And that is a good thing. Choosing the right kind of work One of the most valuable parts of the Kinexions Maestro Remix Agent Hackathon is not just seeing what customers and partners build in Maestro Agent Studio. It is seeing how they decide where agents can create real value. The strongest opportunities are not always the biggest workflows or the most complex processes. Often, they are the high-friction moments where planners need to interpret changing conditions, connect multiple signals, and

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From ideas to agents: The Remix journey begins

From ideas to agents: The Remix journey begins lnguyen Wed, 06/17/2026 - 13:29 Today is an exciting milestone for the Kinexions Maestro Remix Agent Hackathon .  After weeks of conversations, registrations, and anticipation, our first cohort officially begins their Remix journey. Building the foundation  Today, participating teams will complete onboarding and training on Maestro Agent Studio before beginning their three-week build period. By the end of the program, each team will have designed and built an AI agent focused on solving a real-world supply chain challenge. And if the level of creativity we've already seen is any indication, we're in for something special. Today's onboarding session is designed to give participants everything they need to get started. Teams will receive training on Maestro Agent Studio, access to their competition environment, and an introduction to the dataset that will serve as the foundation for their solutions. But perhaps the most important p

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Navigating supply chain volatility in the global tire industry

Navigating supply chain volatility in the global tire industry lnguyen Wed, 06/17/2026 - 12:46 What if your supply chain was the Achilles’ heel of your competitiveness in the tire industry? With the rise of smart tires, OEMs demanding ever-shorter lead times, and the urgent need to decarbonize, executives no longer have a choice: the entire ecosystem must be reimagined from end to end. Discover how tire manufacturers can turn these challenges into opportunities through real-world insights and proven solutions. In addition to traditional supply chain challenges (omni-channel, automotive OEM constraints, complex distribution network and short lead time, reverse logistics), some issues are becoming more frequent and increasingly important as conditions evolve:   1. Raw material volatility Natural rubber shortages : Over 70% of natural rubber comes from Southeast Asia, making the supply chain vulnerable to geopolitical tensions, climate change, and price fluctuations.  Synthetic

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Kinexions North America 2026 Recap

Kinexions North America 2026 Recap ssreedhar Mon, 06/15/2026 - 16:00 Supply chain organizations are moving from reactive planning to orchestrated decision making. Nowhere was that more apparent than at Kinexions 2026 , our flagship customer event, held June 1–3 in Las Vegas, Nevada. (If you missed it, keep reading and watch the on-demand sessions ). The world’s top supply chain leaders joined together to sort through the trends that are all hype vs the insights that actually move businesses forward. The idea was baked into this year's theme, Decisions to Outcomes. At Agentic Speed. Kinaxis CEO Razat Gaurav talks about a new era of operational orchestration   This matters because today, organizations have more data, technology, and intelligence than ever before. Yet many feel like they’re fumbling around in the dark as they try to turn decisions into meaningful business outcomes. The discussions at Kinexions helped close gaps between insights and action, between data and outcomes.&

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$50 Million in Savings, 90% Faster Planning: What Supply Chain Leaders Can Learn From New Research

$50 Million in Savings, 90% Faster Planning: What Supply Chain Leaders Can Learn From New Research lnguyen Mon, 06/15/2026 - 15:22 Geopolitical instability, shifting trade relationships, and the fragility of global supplier networks have turned supply chain disruption into both an operational and financial challenge.   For COOs, the pressure is immediate: decisions need to move faster, plans need to adapt more quickly, and disruptions need to be contained before they affect customers, production, or service levels. For CFOs, the consequences appear shortly after. Disruptions that once took months to surface in financial results can now appear in weeks through higher costs, excess inventory, missed commitments, or reduced revenue. The CFO who only sees supply chain problems after they've hit the balance sheet has already lost the opportunity to contain the financial impact. At the same time, organizations are under growing pressure to make faster decisions with greater confidence,

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Remix response: Wow. Just wow

Remix response: Wow. Just wow lnguyen Tue, 06/09/2026 - 14:24 When we launched the Kinexions Maestro Remix Agent Hackathon , we knew there would be interest. What we didn't anticipate was the level of enthusiasm from customers and partners across industries.   A response that speaks volumes  Over the past few days, we've heard from customers and partners around the world who want to participate, build AI agents, and explore what is possible with Maestro Agent Studio . The response has been incredible, and the ideas discussed during Kinexions has reinforced something we already suspected: there is an enormous amount of creativity and innovation within the Kinaxis community waiting to be unlocked. First and foremost, thank you. Thank you to everyone who took the time to register, form teams, and start thinking about how AI can help solve real supply chain challenges. Seeing the enthusiasm for Remix has been one of the highlights of Kinexions 2026 . Scaling Remix the right way&n

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Material Event filed 2026-06-09

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In data centers, every capacity decision is a billion-dollar bet

In data centers, every capacity decision is a billion-dollar bet ssreedhar Mon, 06/08/2026 - 16:00 The world's appetite for computing power has never been greater. AI, cloud, digital transformation initiatives, and increasingly connected businesses are driving unprecedented demand for data center capacity. The rapid buildout of AI infrastructure is creating entirely new supply chain challenges, as organizations are forced to make capacity, infrastructure, and procurement decisions earlier and with greater uncertainty than ever before.  As highlighted in our recent blog, The AI Infrastructure Boom Is Creating a New Supply Chain Challenge , this shift is redefining how organizations evaluate growth and investment decisions. Across the data center supply chain, critical commitments are being made earlier than ever before. Whether expanding capacity, supplying critical infrastructure, manufacturing semiconductors, or supporting large-scale buildouts, organizations are making decisions

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Remix is already sparking incredible ideas

Remix is already sparking incredible ideas lnguyen Thu, 06/04/2026 - 15:38 One of the things I was most excited about when we launched the Kinexions Maestro Remix Agent Hackathon was seeing what customers and partners would come up with once they started thinking about how AI agents could solve real supply chain challenges. Only a short time after the announcement at Kinexions 2026 , that excitement is already turning into ideas.  From excitement to innovation  Throughout the event, I found myself in conversation after conversation with customers and partners brainstorming potential agents they wanted to build during Remix. Some of those discussions started in sessions, others happened in the Fusion Zone, and quite a few emerged unexpectedly in hallways between meetings. And the ideas were genuinely impressive. What stood out most was how practical and focused many of the ideas already were. People were not talking about abstract AI concepts. They were talking about real oper

Company Timeline

Major milestones in Kinaxis's journey

Key Differentiators

Market Leader

Kinaxis is recognized as a market leader in the Logistics & Supply Chain sector, demonstrating strong industry presence and customer trust.

Growth Stage

Kinaxis has achieved $483.11M in revenue, demonstrating strong product-market fit.

Top 10 Ranked

Ranked #4 in the Logistics & Supply Chain category, among the industry's best.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

80
→ Stable

Based on estimated brand signals. Historical tracking coming soon.

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