Mandel AI raises $3.9M seed funding to automate supply chain coordination

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Mandel AI raises $3.9M seed funding to automate supply chain coordination
© Mandel AI

Mandel AI, a startup developing AI-driven tools for supply chain operations, has raised $3.9 million in seed funding backed by Y Combinator, Category Ventures, Ritual Capital, e2vc, and other investors.

The company is focused on improving coordination across global supply chains by automating communication and procurement processes.

What The Company Does

Founded in 2024, Mandel AI provides a platform that acts as a supply chain coordinator, using AI agents to manage interactions between manufacturers and suppliers. The system integrates with existing email and ERP tools, allowing it to process supplier communications in real time.

Its technology reads incoming emails, extracts relevant data such as purchase orders, pricing, and delivery timelines, and matches documents including invoices and quotes. The platform can then take action automatically, such as following up with suppliers, identifying discrepancies, and escalating issues based on predefined rules.

By automating these workflows, Mandel AI enables procurement teams to manage a higher volume of supplier relationships without increasing headcount, supporting continuous, 24/7 operations.

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Market Context / Industry Background

Supply chain management remains heavily reliant on manual processes, particularly in communication and coordination between stakeholders. Many organizations still depend on spreadsheets and email threads, which can limit visibility and slow response times.

Global supply chains are becoming more complex due to factors such as geopolitical shifts, trade policies, and the need to diversify supplier networks. Companies are often required to scale supplier relationships quickly, increasing operational strain.

Industry data indicates that supply chain disruptions continue to generate significant financial impact, while a large proportion of manufacturers struggle with unstructured data, creating barriers to adopting more advanced automation technologies.

This lack of standardization across systems and partners further complicates data exchange and decision-making, often resulting in delays and inefficiencies. Limited real-time visibility makes it difficult for companies to anticipate disruptions or respond proactively, increasing exposure to risk.

As a result, there is growing interest in digital solutions that can centralize communication, structure data, and enable more coordinated workflows. Platforms that improve transparency and facilitate faster, data-driven decisions are becoming increasingly important for organizations seeking to build more resilient and adaptive supply chains.

Founder / Investor Commentary

Nick Gospodinov, founder and CEO of Mandel AI, described the company’s approach as addressing a gap in existing systems, which are primarily designed to record past activity rather than respond to real-time events. He emphasized the need for tools that can actively interpret and act on ongoing supply chain interactions.

He positioned Mandel AI as part of a broader trend toward AI-powered operational tools across business functions, highlighting its role in supporting procurement teams that manage critical supply chain processes.

Growth Plans / Use Of Funds

The funding will be used to further develop Mandel AI’s platform and expand its adoption across industries such as aerospace, pharmaceuticals, and manufacturing. The company has already processed over $1 billion in material spend through its system.

Mandel AI aims to scale its presence across North America and Europe, positioning its platform as a core infrastructure layer for supply chain communication and coordination.

About Mandel AI

Mandel AI is an AI-powered supply chain coordination platform founded in 2024. The company develops systems that automate procurement workflows by processing supplier communications, extracting key data, and identifying potential disruptions. Its mission is to reduce manual workload and enable more efficient, real-time decision-making in global supply chains.

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