Kinaxis presented its business strategy and market outlook at Citi's 2026 Global TMT Conference. This provides investors with direct insights into the company's financial and operational trajectory.
At the Citi Global TMT Conference, Kinaxis executives outlined the company's broader expansion into agentic orchestration, noting strong demand while navigating macroeconomic uncertainty and foreign exchange pressures.
New IDC research commissioned by Kinaxis reveals UK supply chain professionals are rapidly adopting AI to manage regulatory complexity. This highlights Kinaxis's thought leadership and market engagement in supply chain AI orchestration.
Kinaxis reported strong second-quarter 2026 results with double-digit revenue growth and raised its full-year outlook. This demonstrates robust enterprise demand for its cloud supply chain planning software amid ongoing global market disruptions.
Kinaxis reported strong second-quarter financial results for fiscal 2026, driven by accelerated SaaS adoption and enterprise demand for AI-infused supply chain planning and orchestration. The company posted double-digit revenue growth and raised its full-year outlook.
An IDC survey sponsored by Kinaxis reveals a major accountability gap in supply chain AI adoption despite high expectations. This highlights Kinaxis's strategic thought leadership and positioning in AI-driven supply chain governance.
STL has chosen Kinaxis Planning One to enhance its supply chain planning capabilities and improve operational decision speeds globally. This deployment marks Kinaxis's first customer win via its Google Marketplace mid-market initiative, underlining its ongoing expansion in India.
Futurum analyzes an independent IDC study commissioned by Kinaxis, which examines enterprise AI adoption challenges such as hallucination management and agent reliability. The piece highlights how Kinaxis positions its Maestro platform as a governed orchestration layer for supply chain AI and demand forecasting.
Kinaxis released findings from an IDC study revealing a supply chain AI accountability gap amidst rapid autonomous adoption expectations. This highlights the company's thought leadership and underlines the need for disciplined AI governance in supply chain management.
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