Fusemachines Partners with Global Apparel Brand for AI Demand Planning
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jun 23 2026
0mins
Source: Newsfilter
- Strategic Partnership: Fusemachines has formed a strategic partnership with a globally recognized apparel brand to enhance inventory decision-making speed and accuracy across its global product portfolio through predictive AI and emerging agentic AI capabilities, thereby improving customer responsiveness and market competitiveness.
- Demand Planning Transformation: This collaboration aims to optimize demand forecasting by integrating advanced machine learning and intelligent AI systems, enabling enterprises to better respond to demand fluctuations in a dynamic market environment, thus enhancing business performance and planning accuracy.
- Risk-Aware Forecasting: Fusemachines' solutions will integrate historical sales data, seasonality, and market signals to deliver risk-aware demand forecasts with built-in uncertainty metrics, assisting enterprises in making more informed capital allocation decisions during the planning cycle.
- Foundation for Future AI: The partnership will not only establish a scalable AI-driven planning foundation but also lay the groundwork for implementing agentic AI systems that proactively identify forecast anomalies and planning risks, thereby enhancing overall operational efficiency.
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About FUSE
Fusemachines Inc. is a provider of artificial intelligence (AI) solutions, offering innovative AI products and services to businesses across various sectors. The Company’s product suite consists of AI Studio and AI Engines. Its AI Studio is a software offering that serves as a platform that enables experimentation, model training, deployment, and model tracking. AI Studio is designed to integrate seamlessly with the software and tools that its clients use daily, accelerating the deployment and scalability of AI within their organizations. AI Engines are specialized AI software that operate on top of AI Studio, designed to address specific challenges within industries. It classifies these engines into two main categories: Gen AI Engines and Predictive AI Engines. Gen AI Engines include the Xtract AI Engine and the Answer Gen Engine. The Xtract AI Engine extracts data from documents and automates workflows by integrating large language models (LLMs) with advanced computer vision models.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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- Comprehensive Evaluation: The assessment lasts four to six weeks and covers evaluations of current business processes, AI initiatives, data environments, and technology platforms, ensuring clients are well-prepared and informed before implementing Agentic AI.
- Enhanced Client Value: With AWS sponsorship, Fusemachines can provide structured recommendations and feasibility analyses to participating clients, helping them identify use cases for intelligent agents, thereby improving operational efficiency and competitiveness.
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- Strategic Partnership: Fusemachines has formed a strategic partnership with a globally recognized apparel brand to enhance inventory decision-making speed and accuracy across its global product portfolio through predictive AI and emerging agentic AI capabilities, thereby improving customer responsiveness and market competitiveness.
- Demand Planning Transformation: This collaboration aims to optimize demand forecasting by integrating advanced machine learning and intelligent AI systems, enabling enterprises to better respond to demand fluctuations in a dynamic market environment, thus enhancing business performance and planning accuracy.
- Risk-Aware Forecasting: Fusemachines' solutions will integrate historical sales data, seasonality, and market signals to deliver risk-aware demand forecasts with built-in uncertainty metrics, assisting enterprises in making more informed capital allocation decisions during the planning cycle.
- Foundation for Future AI: The partnership will not only establish a scalable AI-driven planning foundation but also lay the groundwork for implementing agentic AI systems that proactively identify forecast anomalies and planning risks, thereby enhancing overall operational efficiency.
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- Comprehensive Evaluation: The assessment lasts four to six weeks and covers evaluations of current business processes, AI initiatives, data environments, and technology platforms, ensuring clients are well-prepared and informed before implementing Agentic AI.
- Enhanced Client Value: With AWS sponsorship, Fusemachines can provide structured recommendations and feasibility analyses to participating clients, helping them identify use cases for intelligent agents, thereby improving operational efficiency and competitiveness.
- Deepening Strategic Relationships: This program not only provides clients with a clear starting point for Agentic AI adoption but also helps Fusemachines build deeper relationships with clients, creating new business opportunities and advancing enterprise AI transformation.
See More
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- Strategic Partnership: Fusemachines has formed a strategic partnership with a globally recognized apparel brand to enhance inventory decision-making speed and accuracy across its global product portfolio through predictive AI and emerging agentic AI capabilities, thereby improving customer responsiveness and market competitiveness.
- Demand Planning Transformation: This collaboration aims to optimize demand forecasting by integrating advanced machine learning and intelligent AI systems, enabling enterprises to better respond to demand fluctuations in a dynamic market environment, thus enhancing business performance and planning accuracy.
- Risk-Aware Forecasting: Fusemachines' solutions will integrate historical sales data, seasonality, and market signals to deliver risk-aware demand forecasts with built-in uncertainty metrics, assisting enterprises in making more informed capital allocation decisions during the planning cycle.
- Foundation for Future AI: The partnership will not only establish a scalable AI-driven planning foundation but also lay the groundwork for implementing agentic AI systems that proactively identify forecast anomalies and planning risks, thereby enhancing overall operational efficiency.
See More
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- Optimized Hiring Decisions: By integrating with ATS, recruiting agents can access candidate and job information in real-time, assisting recruiting teams in better analyzing, prioritizing, and shortlisting resumes, leading to more informed hiring decisions.
- Enhanced System Compatibility: The new connectivity allows enterprise recruiting teams to leverage AI capabilities across multiple stages of hiring without altering existing workflows, ensuring continuity and consistency in the recruitment process.
- Market Potential Unleashed: Fusemachines' expanded connectivity is expected to be available to enterprise customers starting June 2026, marking a significant step in the company's mission to democratize AI and enhance recruitment efficiency.
See More
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- Forum Launch: Fusemachines hosted its inaugural Agentic AI Forum for Talent Acquisition at the Harvard Club in New York, gathering over 25 senior talent acquisition leaders to create a dedicated platform for discussing the operationalization of agentic AI in hiring processes.
- Industry Demand: The inaugural session highlighted the demand for practical use cases beyond traditional sourcing, as participants addressed legal and compliance challenges, which will directly inform the development of Fusemachines' products like the Interview Agent.
- Future Plans: Fusemachines intends to expand the forum through future dinners, webinars, and small group discussions, aiming to accelerate the adoption of AI-driven hiring practices and enhance enterprises' competitive edge in talent acquisition.
- Strategic Importance: CEO Sameer Maskey emphasized that organizations that successfully operationalize agentic AI within the next 12 months will gain a structural advantage in talent competition, making the forum a vital resource for enterprise leaders seeking to navigate this transition.
See More
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- Stock Performance: Fusemachines Inc. (FUSE) increased by $0.25 to $2.08, with 5,723,148 shares traded, suggesting market recognition of its growth potential, particularly in technology applications.
- Earnings Forecast Revisions: NVIDIA (NVDA) has had three upward revisions in earnings forecasts over the past four weeks, with a consensus EPS of $2.26 for the fiscal quarter ending January 2027, highlighting strong demand in AI and graphics processing, which further solidifies its market leadership.
- Target Price vs Current Price: Kraft Heinz Company (KHC) is currently priced at $23.11, achieving 100.46% of its target price, indicating market confidence in its future growth and reflecting its stable performance in the food industry.
See More
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- Industry Transformation: Dr. Sameer Maskey, Founder and CEO of Fusemachines, highlighted that the AI industry is entering a new phase where AI not only assists humans but also autonomously executes complex tasks, fundamentally transforming how work is accomplished, with Fusemachines aiming to lead this shift.
- Improved Financials: Following a successful NASDAQ listing in 2025, the company entered 2026 with no debt and improved adjusted EBITDA, supported by operational discipline and cost optimization, laying a solid foundation for future growth.
- Growth Strategy: Fusemachines' growth strategy focuses on three key areas: achieving organic growth through enhanced sales capabilities and market execution, expanding market reach via strategic partnerships with global players like Amazon Web Services, and pursuing acquisitions that align with its technology and culture to accelerate capabilities.
- Platform Innovation: The company is enhancing its AI Studio platform to support agentic AI systems capable of planning, reasoning, and executing complex enterprise workflows, expecting strong growth in 2026 driven by rising demand for agentic AI and ongoing technological innovation.
See More
