Data enrichment is the process of adding, improving, and optimizing existing product data with more detailed, accurate, and valuable information from various sources.
Data enrichment refers to the process of enhancing raw or existing product data by adding missing information, improving accuracy, or supplementing it with more descriptive and engaging content. This can involve combining internal data (e.g., from ERP, PIM) with external sources (e.g., supplier feeds, public datasets, third-party content providers, customer reviews). The goal is to create a more complete, accurate, and appealing product profile that better informs customers and supports marketing and sales efforts.
In e-commerce, rich and comprehensive product data is a key differentiator. Data enrichment directly impacts customer experience by providing the detailed information shoppers need to make purchase decisions, reducing questions and returns. It also improves SEO by providing more keywords and content for search engines to index. For a PIM system, data enrichment is a continuous process that ensures product data remains competitive, relevant, and consistent across all sales channels, leading to higher conversion rates and stronger brand credibility.
Can't find the answer you're looking for? Please get in touch with our team.
Contact SupportExperience how WISEPIM can transform your product information management.