Product Data Enrichment
Data enrichment is about enhancing, refining, and adding value to your product data. It’s the extra layer that adds more value to your data.
In today’s business environment, merely having data isn’t enough. For it to be a valuable asset, it needs context and depth.
Enriched data gives a comprehensive view of products, allowing for better decision-making and more robust market strategies.
Our data enrichment services includes:
- Data Classification
- Addition of relevant, insightful details to your product data.
- Translation
- Extraction
- Correct data Taxonomy/Schema Design
- Web scraping
Classification
Select the correct classification system that meets your needs e.g. UNSPSC, ETIM, GS1, Amazon, Bing, Google, and Shopify.
For specific needs that are not met by standard classification schema, customers are able to create their own custom classification systems.
Alternatively, our algorithm can detect and provide options for which classification system to use.
Classification systems set the foundation for the development of a product classification strategy.
Product Descriptions
An enriched product database is pivotal to offering a comprehensive understanding of your product data. Incorporating both short and long descriptions, along with detailed attributes, is a vital step in this enrichment process.
Product attributes are specific details or characteristics of the product. They provide structured data that can be crucial for filtering and comparison.
Short Description
Short descriptions offer a concise snapshot of a specific product, capturing its essence in a limited number of words. This is usually the first piece of information employees or customers view.
Long Description
Long descriptions delve deeper, providing comprehensive details about the product. They serve to inform customers or employees.
Translations
Product data translation involves meticulously converting product details, descriptions, and specifications from one language to another, ensuring that they resonate with the cultural and linguistic nuances of each targeted region. For multinational corporations, the advantages of such translations are profound and cannot be overstated.
Benefits of Product Data Translation include:
- Streamlined communication
- Unified data management
- More effective training
- Optimised resource allocation
- Enhanced decision making
- Future-proofing
Extraction
Uploaded product data can be extracted and populated according to the classification system subcategories. What was a long unmanageable product description becomes a detailed product information record with multiple levels. This enriches the product data for better searching and comparison.
Taxonomy/Schema Design
Our machine learning tools allow automatic taxonomy creation, enabling us to assist customers in creating their own classification system and further differentiate themselves from their competitors.
Semantic Matching
Information supplied by customers relating to manufacturers, suppliers, or competitors, is used to scrape websites and technical documents. The extracted information is then used to enrich existing cleansed product data.