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AI Commerce: Rep AI Raises $6.2 Million to Build Operating System

Ai Commerce

AI commerce platform Rep AI has secured $6.2 million in new funding to expand its unified operating system for e-commerce brands, online retailers, and customer experience teams.

Rep AI, an AI commerce platform built for e-commerce brands and online retailers, has raised $6.2 million in new funding as demand grows for unified AI systems across digital retail. The round was led by Silicon Road Ventures, with participation from Osage Venture Partners, Flashpoint Venture Capital, and Zendesk.

The new investment builds on Rep AI’s $8.2 million Series A round, which was announced in August 2024. With the latest funding, the company aims to accelerate product innovation, expand its market reach, and support enterprise growth as more online retailers look for scalable AI commerce infrastructure.

Rep AI is positioning itself as AI commerce

Rep AI is positioning itself as more than a chatbot provider. The company describes its platform as an AI operating system for e-commerce, designed to help brands manage customer journeys from first interaction to long-term loyalty. This includes shopper intent detection, product discovery, personalized recommendations, conversion support, customer service, and post-purchase engagement.

According to Rep AI, many e-commerce brands are struggling with disconnected technology stacks. These fragmented systems often separate marketing, customer support, analytics, product data, and sales engagement into different tools. As a result, brands may face operational silos, weaker customer insights, and missed revenue opportunities. Rep AI says its AI commerce platform is designed to bring these functions into a more connected system.

“E-commerce brands are increasingly overwhelmed by disconnected technology stacks that create operational silos and missed revenue opportunities,” said Yoav Oz, Co-founder and CEO at Rep AI. He added that the new funding validates the company’s vision of building a unified AI operating system for e-commerce that helps brands better understand shopper behavior, improve conversion, and deliver stronger customer experiences.

The funding round also reflects a wider shift in the AI commerce market. Retailers are moving beyond isolated AI tools and looking for systems that can influence the entire customer journey. Instead of deploying separate tools for chat, support, recommendations, and analytics, brands are increasingly seeking integrated platforms that can work across multiple touchpoints.

Shauli Mizrahi, Co-founder and Chief Technology Officer at Rep AI, said the industry is moving toward integrated systems that can influence the full customer journey across e-commerce. He noted that the company’s focus is on building infrastructure that delivers measurable business outcomes while simplifying how brands deploy and scale AI.

This is particularly important as online retailers face higher customer expectations. Shoppers now expect fast answers, personalized product guidance, smooth returns, and consistent support across channels. In this environment, AI commerce is becoming a strategic priority for brands that want to improve both customer experience and revenue performance.

Silicon Road Ventures said the market is increasingly looking for agentic AI infrastructure rather than point solutions. Sid Mookerji, Managing Partner at Silicon Road Ventures, said brands are seeking scalable, revenue-driving AI systems that can replace fragmented tools with a more cohesive and intelligent platform.

Zendesk’s participation in the round is also notable for highlighting the growing connection between customer experience technology and commerce operations. Customer support is no longer viewed only as a cost center. For many online retailers, support interactions are now part of the sales journey, retention strategy, and brand experience.

Adrian McDermott, CTO at Zendesk, said a strong retail experience should feel like a knowledgeable sales concierge that understands customer needs, knows the products, and can help from discovery to returns. He added that true AI integration in retail requires more than a chatbot, as it depends on a deep understanding of shopper behavior and product data.

Rep AI’s approach reflects a broader trend in digital retail: the rise of behavioral AI. By analyzing customer signals and product information, AI commerce platforms can help brands identify intent, guide shoppers more effectively, and reduce friction before checkout. This can be especially valuable for retailers with large product catalogs, high customer service volumes, or complex customer journeys.

The company’s latest funding comes as e-commerce brands continue to invest in automation, personalization, and customer experience tools. However, the next phase of AI commerce may not be defined by single-purpose applications. Instead, the market appears to be shifting toward unified operating systems that combine sales, support, data, and personalization in one layer.

For e-commerce brands and retailers, Rep AI’s funding signals that investors are paying close attention to platforms that can turn AI into measurable commercial outcomes. As competition intensifies in online retail, AI commerce solutions that simplify operations and improve conversion could become a core part of the digital commerce stack.

The $6.2 million funding round provides Rep AI with additional resources to scale its platform at a time when retailers are actively seeking more intelligent, connected, and revenue-focused AI systems. If the company succeeds, its model could help shape the development of AI commerce across the global e-commerce industry.

Amex Introduces 5 Key Features in a Positive Agentic Commerce Development Kit Launch

Amex Introduces 5 Key Features in a Positive Agentic Commerce Development Kit Launch

American Express has unveiled a new developer toolkit designed to accelerate the adoption of agentic commerce, an emerging model where artificial intelligence agents can independently execute transactions on behalf of users. The launch signals a major step toward integrating AI-driven automation into the global payments ecosystem.

The newly introduced Agentic Commerce Experiences (ACE) Developer Kit provides a framework for developers to connect AI-powered agents with American Express payment infrastructure. The initiative aims to enable secure, seamless, and trusted transactions in environments where AI agents assist or act on behalf of consumers.

Agentic commerce represents a shift from traditional digital shopping toward autonomous systems capable of discovering products, evaluating options, and completing purchases without direct human interaction at every step.

Five Core Components Powering Agentic Transactions

The ACE Developer Kit introduces five key capabilities designed to support AI-led commerce:

  • Agent verification: Ensures that only authorized AI agents can initiate transactions
  • Account enablement: Allows users to register and link their payment credentials
  • Intent intelligence: Captures and validates user purchase intent
  • Secure payment credentials: Enables tokenized transactions executed by verified agents
  • Cart context sharing: Provides transaction transparency and supports dispute resolution

These features are designed to create a structured and secure framework where AI agents can operate within defined boundaries, ensuring both user control and transaction integrity.

Building Trust in Autonomous Commerce

A key challenge in agentic commerce is trust particularly when transactions are executed by AI rather than directly by users. To address this, American Express has introduced what it describes as an industry-first protection model.

Under this commitment, customers will be protected from financial losses caused by errors made by authorized AI agents, provided that the transaction includes verified purchase intent. This approach aims to reduce friction and increase confidence in AI-driven transactions.

The focus on trust, control, and visibility reflects broader industry concerns around the reliability and accountability of autonomous systems in financial services.

A Strategic Bet on the Future of Commerce

American Express views agentic commerce as a transformative shift comparable to earlier digital milestones such as the rise of the internet and mobile commerce. As AI agents become more capable, they are expected to reshape how consumers discover products, plan purchases, and complete transactions.

The company is already collaborating with major technology and payments players, including AI platforms and global payment providers to establish standards and protocols for this emerging ecosystem.

These partnerships highlight the growing importance of interoperability and shared frameworks in enabling scalable agent-based commerce.

Market Implications

The launch of the ACE Developer Kit signals a broader transition toward AI-native commerce models, where automation plays a central role in the customer journey. For businesses, this shift presents both opportunities and challenges.

On one hand, agentic commerce can streamline operations, improve efficiency, and unlock new revenue streams. On the other, it requires robust infrastructure, standardized data, and strong governance frameworks to ensure trust and compliance.

As financial institutions and technology providers continue to invest in AI-driven commerce, the competitive landscape is likely to evolve rapidly. Companies that successfully integrate secure, intelligent automation into their platforms will be better positioned to lead in the next phase of digital commerce.

Source: Finextra

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