Problem

Minimal AI addresses the cost and complexity of scaling customer support for e-commerce brands. The underlying workload is largely operational—order-status questions, delivery problems, returns, refunds, and other issues that require access to live commerce and logistics data. Existing options force an unattractive trade-off: months of expensive implementation and vendor dependence, or simplistic black-box chatbots that frustrate customers. The economic pressure is material: Minimal’s pricing page estimates that a human support agent costs about €3.40 per resolved ticket, while its own service is typically 85–90% cheaper per ticket.

The killer use case is end-to-end resolution of operational tickets rather than merely answering frequently asked questions. An agent that can look up an order, check shipment or inventory status, process a refund, update an order, or initiate a return can remove a large amount of repetitive work while allowing human staff to focus on exceptions and higher-value customer interactions.

Product / Service

Minimal sells AI customer-support agents purpose-built for e-commerce, delivered as a managed software platform that works with a brand’s existing helpdesk and commerce stack. Customers configure and manage the agents through a conversational “AI Manager”: they explain policies and processes in natural language, inspect the agent’s reasoning, provide feedback, and have the system update its protocols. The manager can also identify gaps and suggest improvements, reducing the need for engineers or lengthy implementation projects.

The agents connect to e-commerce, helpdesk, shipping, returns, and fulfillment systems so they can use live data and take real actions. Brands choose which topics the AI fully automates, which require review, and which remain human-led. Minimal claims that customers can train agents in minutes, support more than 95 languages across channels, and automate up to 90% of tickets, while its integration layer supports dozens of native connections and actions such as refunds, order changes, returns, and inventory checks.

Market

Minimal competes in the vertical AI-agent and customer-support-automation market for e-commerce brands, rather than in generic chatbot software. The competitive set includes purpose-built e-commerce platforms such as Yuma AI, as well as broader customer-support products and AI layers including Gorgias, Intercom Fin, and Ada CX. Minimal’s stated differentiation is deep, operational integration across the full commerce stack and an AI Manager that lets the customer’s team own and continuously adapt the automation without specialist engineering resources.

The company appears commercially deployed rather than pre-revenue in product terms. Y Combinator lists it as a Summer 2025 company, and its launch materials say its agents were resolving tens of thousands of tickets per day. Minimal also publishes multiple customer case studies, including 80% automation at Hang Eleven, 83% automation and more than 70 hours saved per week at XXL Nutrition, 88% automation at ETQ on day one, and 93% automation at Boombrush. Its usage-based pricing starts at €849 per month for up to 2,000 billable tickets and scales to enterprise plans above 20,000 tickets; however, no revenue figure is disclosed in the available evidence, so traction is best measured through deployments, ticket volume, and reported customer outcomes rather than ARR.