MOMUTO Multilingual Automated Page Generation System: AI-Driven Cross-Border E-Commerce Content Deployment Solution

The MOMUTO Multilingual Automated Page Generation System is a cross-border e-commerce content deployment solution based on GitHub Actions and Claude AI, designed to address efficiency bottlenecks in multilingual content management. This system enables intelligent generation of custom sports equipment pages and synchronous deployment across English, Spanish, and French sites. Adopting a configuration-driven design, operators can complete subsequent work simply by submitting a JSON configuration.

MOMUTO is a custom sports equipment platform for teams and clubs, requiring localized product pages for customers in different regions. Core challenges include:

• Multilingual coverage: Supporting three sites—English (momuto.com), Spanish (es.momuto.com), and French (fr.momuto.com)
• Content consistency: Synchronizing information about the same team's equipment design across the three sites
• Deployment efficiency: Quickly generating and publishing corresponding pages when adding new team configurations
• SEO optimization: Generating pages that meet SEO standards, including sitemap updates The project adopts a configuration-driven concept; operators can automatically complete subsequent work by submitting a JSON configuration.

The system consists of three core components:

1. GitHub Actions Automated Pipeline

When operators push a new team configuration to the repository, .github/workflows/create-team-page.yml is automatically triggered to coordinate the entire generation and deployment process.

2. Claude AI Content Generation Engine

scripts/generate-and-deploy.js calls the Claude AI API to generate marketing copy in three languages based on the team configuration.

3. OEMSaaS Multi-Site Deployment

Pages are deployed to three domains via the OEMSaaS Open API, with each site using an independent API token for authentication to ensure security.

Team configurations are structured JSON files stored at teams/[team-slug]/config.json, containing the following fields:

• team_name: Full team name
• design_name: Design scheme name
• design_description: Design description used for AI-generated copy
• primary_color: Primary color of the jersey
• secondary_color: Secondary color of the jersey
• accent_color: Highlight color for page buttons (must match secondary_color)
• image_url: URL of the front jersey image
• back_image_url: URL of the back jersey image (optional) Importance of Color Configuration: The accent_color affects the active state of interactive elements and must match the actual jersey color. Operators need to verify this using a color extraction tool.

Front/Back View Switching Feature

When the configuration includes back_image_url, a FRONT/BACK switch is automatically added. The UI is rendered by checking the presence of the configuration; a double-layer view container uses CSS to control the visibility of the .active class, and the switchView() function implements switching to avoid the unreliability of toggle.

Gallery Integration and SEO Optimization

When the commit message contains "add-to-gallery", the team will be added to the gallery on each site. For SEO:

• English site URL: /pages/[team-slug]-custom-kit-design
• Spanish site URL: /pages/[team-slug]-diseno-equipacion
• French site URL: /pages/[team-slug]-design-maillot Configure robots.txt and sitemap.xml to support Google rich media search verification.

Before using the system, you need to configure Secrets in the GitHub repository:

• ANTHROPIC_API_KEY: API key for Claude AI
• OEMSAAS_TOKEN_EN/ES/FR: OEMSaaS API tokens for the three sites API tokens need to be obtained by creating an application in the "Developer" settings of the OEMSaaS management backend. Before deployment, confirm that the OpenAPI interface address (usually https://openapi.oemapps.com) matches the account.

The value of the MOMUTO solution lies in automating multilingual content generation, allowing operators to focus only on configuration quality. It can be extended to scenarios such as product catalogs, event pages, and blogs. Technical teams can refer to integrating GitHub Actions, large language model APIs, and third-party SaaS platforms to build end-to-end automated pipelines. The key points are clear configuration contracts, reliable error handling, and compliance with SEO best practices.

The MOMUTO Multilingual Automated Page Generation System reduces the complexity of multilingual operations for cross-border e-commerce through the "configuration as code" concept. AI generation ensures copy quality, automated deployment ensures efficiency, and strict configuration verification maintains consistency in user experience. For teams facing multi-site management challenges, it is a worthwhile architectural model to reference.