SeakerAI uses AI Workbench to Solve Sellers' Pain Points, Seeks Angel Round Financing

Amazon Sellers Enter the Stage of Fine-grained Operation

As cross-border e-commerce shifts from extensive growth to fine-grained competition, the operational pressure on Amazon sellers is shifting from "listing products" to "continuous judgment, optimization, and execution." Homogeneous product selection, rising advertising costs, difficulty in replicating operational experience, unstable image conversion efficiency, and complex management of multiple stores and accounts are becoming important reasons for the decline in sellers' profits and the inefficiency of their teams.

According to China's customs statistics, in 2025, the import and export volume of China's cross-border e-commerce reached 2.84 trillion yuan, a year-on-year increase of 4.8%. In the Amazon ecosystem, third-party sellers remain an important part of the platform. Data from Marketplace Pulse shows that in the first quarter of 2026, third-party sellers contributed approximately 60% of Amazon's paid sales volume. For Chinese Amazon sellers, operational tools are no longer just data query tools but are gradually evolving towards decision-making assistance, process collaboration, and automated execution.

In this context, SeakerAI positions its product as an AI Decision Workbench for Amazon sellers. The project is not a single product selection tool but attempts to connect data analysis, AI judgment, and operational actions around sellers' product selection, operation, image creation, advertising, and ERP management scenarios, helping sellers move from "viewing data" to "making decisions."

Cover Product Selection, Operation, Image Creation, and Advertising with an AI Decision Workbench

The core idea of SeakerAI is to integrate multiple scattered links in Amazon sellers' daily operations into an AI workbench.

In the product selection stage, traditional tools usually provide data query and screening functions such as sales volume, price, ranking, reviews, and keywords. However, sellers still need to rely on experience to judge market opportunities and competitive risks. SeakerAI comprehensively analyzes data on products, markets, keywords, competitors, reviews, profits, and trends through its self-developed market potential scoring model, and outputs opportunity markets, buyer pain points, and product modification directions, helping sellers reduce misjudgments in product selection.

In the operation stage, Amazon operations highly depend on personal experience, and there are significant differences in the capabilities of different operators. SeakerAI productizes Amazon's actual combat SOP, identifies product problems through real-time data monitoring and AI analysis, and outputs executable action suggestions based on the operation stage, including Listing optimization, keyword layout, inventory rhythm, competitor changes, and judgment of operation priorities.

In the image creation stage, sellers generally face problems such as high image production costs, long production cycles, and unstable conversion rates. SeakerAI combines competitor images, product selling points, user reviews, and buyer profiles to generate main images, selling point images, and scene images that are closer to Amazon's conversion logic.

In the advertising stage, SeakerAI plans to continuously analyze keywords, bids, budgets, conversion rates, ACOS, natural rankings, and competitor advertising performance through its AI advertising hosting capabilities. The project team said that its advertising capabilities are not only based on the product's own advertising data but also take into account the product's operation stage and comprehensive market data for judgment to improve the stability of advertising adjustments.

In addition, SeakerAI also covers ERP and team collaboration scenarios, aiming to connect product selection, operation, advertising, and team management data to form a unified dashboard and a task collaboration closed-loop for sellers' business decisions.

Early Commercialization Verification Completed, Seeking Angel-round Financing

SeakerAI was launched in April 2024 by a team with cross-border practical experience and technical backgrounds. CEO Li Dawen has experience in IT algorithms, system architecture, and Amazon seller operations; Co-founder and CMO Zhang Wu has experience in sales management and Amazon seller operations; CTO Hu Qinghua has held core positions in technology teams such as Huawei, Alibaba, and Kingdee and has experience in large-scale projects and AI product engineering. Currently, the team consists of 16 people in the R & D department, 6 people in the marketing department, and 6 people in the sales department.

In terms of commercialization, SeakerAI has completed early product verification. The project team disclosed that currently, the platform has over 6,000 registered users, over 300 paying users, a cumulative payment amount of over 500,000 yuan, and over 500 daily active users. The current customer acquisition cost is approximately 37 yuan per customer, the proportion of natural traffic is approximately 50%, and the current ARPU is over 1,600 yuan. Since the product has been on the market for a short time, the project team has not yet formed a complete renewal cycle, so it has not disclosed the retention rate, renewal rate, and refund rate.

SeakerAI's revenue model includes basic subscription annual fees, sub-account annual fees, Token service fees, advertising hosting commissions, API interface annual fees, and MCP annual fees. The project team expects that with the launch of high-frequency functions such as AI operation, AI image generation, and AI advertising hosting, the product will extend from a low-frequency product selection auxiliary tool to sellers' daily operation scenarios, driving up the paid conversion rate and customer unit price.

In terms of market measurement, the project team estimates the total market for Amazon seller operation tools to be 5 to 10 billion yuan per year, and the serviceable market for Chinese Amazon seller AI SaaS to be approximately 2 to 5 billion yuan. SeakerAI plans to acquire approximately over 11,000 paying customers in the next 24 months, corresponding to an annualized sales volume of approximately 110 million yuan, with a target market share of approximately 2.2% to 5.5%. This measurement is based on the number of sellers and the annual tool expenditure range and still needs to be further verified by subsequent operation data.

Currently, SeakerAI is seeking angel-round financing, planning to raise 20 million yuan and offering 10% equity. The funds will be mainly used for product upgrading, data and technology infrastructure, team building, market growth, and the construction of a customer success system. The project team said that in the next stage, it will focus on promoting AI advertising hosting, automated operation, and team collaboration capabilities to further verify the product's usage frequency, upselling space, and long-term customer value in Amazon sellers' daily operations.