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PRODUCT DATA ENRICHMENT
Product Data Enrichment
Timely and accurate SKU launches are essential for sustainable growth. Wissend’s SKU build and item setup services deliver high-quality product data, streamlining operations and speeding up time-to-market for a seamless customer experience and improved productivity
Businesses that invest in product data management and enrichment see a significant improvement in conversion rates and customer satisfaction.
Forrester ranks Product Data Enrichment as a top priority for retailers and distributors, highlighting its role in driving personalized customer experiences and improving overall business performance.
IDC's research indicates that companies leveraging enriched product data are better positioned to compete in the digital marketplace, as they can offer more relevant and engaging content to their customers.
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What are the Key
Challeges?
Data Complexity
Managing vast amounts of product data from multiple sources can be overwhelming, leading to discrepancies and errors.
Data Gaps
Missing or incomplete product attributes hinder the ability to provide comprehensive product descriptions, impacting customer confidence.
Consistency Across Channels
Ensuring that product data is consistent across various sales channels is a common challenge that affects brand integrity.
Time-Intensive Processes
Manual enrichment processes can be time-consuming and prone to human error, particularly as product catalogs grow.
Compliance and Standards
Meeting industry-specific data standards and regulations requires continuous monitoring and updating.
Data Complexity
Managing vast amounts of product data from multiple sources can be overwhelming, leading to discrepancies and errors.
Data Gaps
Missing or incomplete product attributes hinder the ability to provide comprehensive product descriptions, impacting customer confidence.
Consistency Across Channels
Ensuring that product data is consistent across various sales channels is a common challenge that affects brand integrity.
Time-Intensive Processes
Manual enrichment processes can be time-consuming and prone to human error, particularly as product catalogs grow.
Compliance and Standards
Meeting industry-specific data standards and regulations requires continuous monitoring and updating.
Data Standardisation
Adding missing or incomplete product attributes to enhance the richness of product information.
Examples: Filling in technical specifications, adding material descriptions, and including detailed usage instructions.
Content Enhancement
Improving the quality of product descriptions, titles, and other text-based elements to make them more informative and engaging.
Examples: Rewriting product descriptions for clarity, optimizing product titles for SEO, and adding compelling bullet points.
Attribute Enrichment
Adding missing or incomplete product attributes to enhance the richness of product information.
Examples: Filling in technical specifications, adding material descriptions, and including detailed usage instructions.
Data Cleansing
Identifying and correcting inaccuracies, duplications, and inconsistencies in product data.
Examples: Removing duplicate SKUs, correcting misspellings, and eliminating irrelevant or outdated data.
Image Optimisation
Enhancing product images to ensure they are high-quality, consistent, and optimized for various channels.
Examples: Image resizing, background removal, and adding zoomable images or 360-degree views.
Data Mapping & Taxonomy Alignment
Aligning product data with specific taxonomies or category structures to ensure consistency across different platforms and marketplaces.
Examples: Mapping product attributes to industry standards, aligning product categories with marketplace requirements.
Localisation & Translation
Adapting product data to meet the linguistic and cultural requirements of different regions or markets.
Examples: Translating product descriptions, converting units of measurement, and localizing product names or terms.
Data Governance and Compliance
Ensuring that product data adheres to relevant industry standards, regulations, and best practices.
Examples: Implementing data governance policies, ensuring compliance with regulations like GDPR, and aligning data with industry-specific standards.
SEO Optimisation
Enhancing product data with relevant keywords and metadata to improve search engine visibility.
Examples: Adding keyword-rich descriptions, optimizing meta tags, and structuring data for search engine indexing.
Data Syndication
Distributing enriched product data across multiple sales channels, marketplaces, and platforms.
Examples: Ensuring consistent data across online stores, third-party marketplaces, and social commerce platforms.
Localisation & Translation
Adapting product data to meet the linguistic and cultural requirements of different regions or markets.
Examples: Translating product descriptions, converting units of measurement, and localizing product names or terms.
Data Governance and Compliance
Ensuring that product data adheres to relevant industry standards, regulations, and best practices.
Examples: Implementing data governance policies, ensuring compliance with regulations like GDPR, and aligning data with industry-specific standards.
SEO Optimisation
Enhancing product data with relevant keywords and metadata to improve search engine visibility.
Examples: Adding keyword-rich descriptions, optimizing meta tags, and structuring data for search engine indexing.
Data Syndication
Distributing enriched product data across multiple sales channels, marketplaces, and platforms.
Examples: Ensuring consistent data across online stores, third-party marketplaces, and social commerce platforms.
Data Standardisation
Adding missing or incomplete product attributes to enhance the richness of product information.
Examples: Filling in technical specifications, adding material descriptions, and including detailed usage instructions.
Content Enhancement
Improving the quality of product descriptions, titles, and other text-based elements to make them more informative and engaging.
Examples: Rewriting product descriptions for clarity, optimizing product titles for SEO, and adding compelling bullet points.
Attribute Enrichment
Adding missing or incomplete product attributes to enhance the richness of product information.
Examples: Filling in technical specifications, adding material descriptions, and including detailed usage instructions.
Data Cleansing
Identifying and correcting inaccuracies, duplications, and inconsistencies in product data.
Examples: Removing duplicate SKUs, correcting misspellings, and eliminating irrelevant or outdated data.
Image Optimisation
Enhancing product images to ensure they are high-quality, consistent, and optimized for various channels.
Examples: Image resizing, background removal, and adding zoomable images or 360-degree views.
Data Mapping & Taxonomy Alignment
Aligning product data with specific taxonomies or category structures to ensure consistency across different platforms and marketplaces.
Examples: Mapping product attributes to industry standards, aligning product categories with marketplace requirements.
What is the Impact
Regulatory Compliance
Ensure all product information complies with industry regulations and standards, reducing the risk of penalties.
Better Customer Experience
Comprehensive product data helps customers make informed purchasing decisions, leading to increased satisfaction and loyalty.
Reduced Time-to-Market
Faster new item setup allows businesses to introduce products to the market more quickly.
Increased Sales
Accurate and comprehensive product information enhances customer trust and boosts sales.
Enhanced Data Quality
Improve the accuracy and consistency of product information across all channels, leading to better customer experiences and reduced return rates.
Scalability
Our solutions are designed to grow with your business, supporting the addition of new products and categories seamlessly.
Distributor SKU Management
A leading distributor struggling with inconsistent product data across thousands of SKUs turned to Wissend. By standardizing and enriching their data, we helped them improve operational efficiency and customer satisfaction.
Retailer Product Listings
A large e-commerce retailer faced challenges with incomplete and outdated product listings. Wissend’s Product Data Enrichment services helped them update and optimize their listings, resulting in a 20% increase in online sales.
Global Expansion
An international retailer needed to adapt its product data for different markets. Wissend provided localization and enrichment services that enabled them to seamlessly enter new markets with region-specific product data.
Our Locations
Chennai, India
672, Temple Towers, Chennai, TN, India
Atlanta, US
5755 North Point Pkwy Alpharetta, GA, USA
Dallas, US
4690 Eldorado Pkwy Mckinney, TX-75070
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