AI simplifies multilingual product data management, saving time, reducing costs, and boosting SEO by up to 75%. Here's how it works:
AI tools like TextBrew make managing global e-commerce listings easier by automating data extraction, standardization, and translation while ensuring high-quality results.
AI-powered extraction reshapes how multilingual product data is managed, delivering precise and localized information.
AI systems gather product details from multiple reliable sources at the same time. The process typically starts with identifiers like EAN/GTIN codes, which act as universal keys to access detailed product data. Information is then analyzed and combined from sources such as:
| Data Source | Type of Information | Processing Method |
|---|---|---|
| Supplier Catalogs | Technical specs, pricing | Direct data extraction |
| Product Images | Visual details, dimensions | OCR technology |
| Technical Documents | Specifications, compliance | Natural language processing |
| PIM Systems | Existing product data | API integration |
TextBrew exemplifies this process by pulling product data from platforms like Amazon, bol.com, and Google Shopping, as well as PIM systems. Once the data is collected, it’s standardized into a consistent format.
Collected data is then transformed into a standardized format suitable for multilingual use. This involves:
TextBrew’s approach has proven that effective data standardization can cut content creation time from 30 minutes to just 5 minutes per item while maintaining quality.
Once data is standardized, it’s translated to ensure it connects with local audiences. AI uses context-aware translations, ensuring the content aligns with both cultural nuances and brand identity. These advanced methods adapt language, maintain cultural relevance, and preserve a consistent brand tone. TextBrew supports content creation in seven key languages - Dutch, French, German, Spanish, Portuguese, Polish, and English - with more available. This approach can enhance SEO performance by up to 75%.
Natural Language Processing (NLP) is a key component in extracting product data. It allows AI systems to interpret, analyze, and generate text that feels natural and easy to understand. NLP systems are particularly effective at:
Once the text is analyzed, AI moves on to visual extraction techniques to gather data from images.
OCR (Optical Character Recognition) is essential for pulling text from visual product materials. It processes a variety of image formats to extract:
| Content Type | Purpose | Quality Checks |
|---|---|---|
| Product Labels | Technical specifications | Accuracy verification |
| Package Images | Feature highlights | Consistency review |
| Technical Diagrams | Detailed instructions | Format validation |
These visual elements enhance structured data, providing a complete view of product information.
Organizing data effectively ensures product specifications are consistent and standardized across different languages and platforms. This involves:
TextBrew integrates raw data from NLP and OCR into a single, streamlined output. The platform supports various export formats like CSV, HTML-formatted markdown, and Excel workbooks, making it easy to connect with major e-commerce systems.
This structured approach has also led to a 75% boost in SEO performance.
AI revolutionizes the way multilingual product data is handled, allowing businesses to process content quickly and efficiently across various languages at the same time. This leads to faster workflows and boosts SEO performance by as much as 75%.
| Operation Type | Traditional Time | AI-Powered Time | Result |
|---|---|---|---|
| SEO Performance | Baseline | 75% improvement | Better visibility |
These time savings directly enhance operational efficiency, cutting down on delays and improving overall productivity.
By speeding up processes, AI significantly cuts operational expenses. Automated content creation reduces the need for large manual teams while still delivering high-quality results.
"Save 80% of your content team's time and enhance your SEO performance." - TextBrew
Cost savings come from several areas, including fewer staff requirements, quicker market launches, simplified translation workflows, and reduced error correction efforts.
AI-powered tools ensure consistent and accurate results across multiple languages. Advanced algorithms grasp context and maintain a unified brand voice, no matter the market. This approach ensures:
These accuracy gains, combined with speed and cost savings, make AI data extraction a game-changer for e-commerce. It’s especially useful for businesses expanding globally, as it ensures content quality remains high across all markets.
TextBrew takes its AI-driven extraction process to the next level with tools designed to streamline and improve product descriptions.
TextBrew uses EAN/GTIN codes to pull product data from top e-commerce platforms and merges it with your existing PIM data. This process generates accurate, tailored descriptions for each listing. Users can tweak elements like titles, USP placement, description length, technical details, and attribute formatting to meet their needs.
"Using EAN codes, TextBrew gathers data from Amazon, bol.com and Google Shopping and your PIM, then uses AI to create unique, optimized content following your brand guidelines." - TextBrew
Keeping a consistent brand voice is essential for global markets. TextBrew's Smart Voice Analysis ensures your message stays aligned across languages. By analyzing sample content, the system identifies core brand elements:
| Voice Element | AI Analysis |
|---|---|
| Target Audience | Demographics and preferences |
| Writing Style | Formal vs. casual tone |
| Language Preferences | Market-specific terminology |
| Formatting Standards | Layout and structure preferences |
TextBrew simplifies content creation for large catalogs with its batch processing tools:
| Feature | Benefit |
|---|---|
| Bulk EAN Processing | Quickly generates content for multiple products |
| Multi-Platform Export | Direct integration with major e-commerce platforms |
| Format Flexibility | Outputs in CSV, HTML-markdown, and Excel workbook formats |
Batch processing can reduce content creation time by up to 80%, all while maintaining high standards of quality. These tools make managing extensive product catalogs faster and more consistent.
AI-driven tools dramatically speed up product description creation, improve SEO performance, and maintain a cohesive brand voice across different markets:
| Area of Benefit | Impact | Example Outcome |
|---|---|---|
| Time Savings | Cuts content creation time by 80% | Creating product descriptions now takes 5 minutes instead of 30 minutes |
| SEO Boost | Improves search rankings by 75% | Better visibility on various marketplaces |
| Content Consistency | Ensures cohesive brand messaging | Aligns tone and style across all languages |
You can easily integrate these benefits into your workflow using TextBrew's user-friendly setup process:
This efficient approach helps your business thrive in global markets, delivering high-quality, locally relevant product listings with ease.
