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 include:
Data Classification
We classify product and service data into standardised systems like UNSPSC, GPC, or custom taxonomies. This improves data organisation and enables spend analysis, supplier consolidation, and efficient catalogue navigation.
Product Detail Addition
We enrich item records with missing but essential product details such as specifications, material type, brand, size, or usage. This ensures data completeness and improves operational accuracy across procurement, inventory management, and sales functions.
Translation
We translate product descriptions and attributes into multiple languages for multilingual catalogues or global operations. Our service helps maintain data consistency across regions, making it easier for international teams and suppliers to collaborate effectively.
Extraction
We extract structured data from unstructured sources such as PDFs, supplier catalogues, or websites, converting it into usable product data. This eliminates the need for manual data entry, speeds up onboarding of supplier data, and ensures uniformity across records.
Correct Taxonomy & Schema Design
We restructure and map existing product data to align with industry standards or custom internal hierarchies, ensuring consistency across platforms. This process helps avoid misclassification and improves interoperability between systems like ERP, MDM, and PIM.
Web Scraping
We use ethical scraping techniques to gather updated product data (e.g., pricing, specifications) from vendor or manufacturer websites. This service is especially useful for keeping catalogues current and competitive without relying on manual supplier updates.
Data 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 Detail Addition
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.
Including
- Specification Details: Include technical specifics and attributes, like size, weight, material, color, and other pertinent details.
- Usability: Highlight features that enhance the product’s usability or functionality.
- Comparative Information: Attributes that help in comparing products, like battery life in gadgets or thread count in fabrics, can be valuable.
- Origin Information: Details like manufacturing location, source of materials, or any certifications.
- Categorisation: Ensure that products are categorised accurately based on their attributes, aiding in better search and filter functionalities.
Short Description
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
Delve deeper, providing comprehensive details about the product. They serve to inform customers or employees.
Translation
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