Product Data Optimization Hub
Design and Enrich Product Data Before It Reaches Your ERP, PIM, Search or Ecommerce Platforms
What can SkuDB do for you?
Product Onboarding
Accelerate product onboarding with AI-guided workflows. Map, classify, cleanse, enrich, and validate product information before it reaches your PIM or ERP. Automatically classify SKUs, populate attributes, and generate authentic product content—reducing manual effort, errors, and time-to-market.
Taxonomy Optimization
Build better product taxonomies. Use governance standards, customer search behavior, and market intelligence to continuously optimize product taxonomies. Compare alternative hierarchy designs, manage mappings, and publish approved structures to ERP, PIM, ecommerce, and search platforms.
Attribute & Schema Management
Continuously improve attributes, taxonomies, facets, and product schemas using market intelligence, and customer search analytics to then publish approved changes to downstream systems.
Product Content Authoring
Create product content that sells—not just describes. SkuDB combines AI, product data, technical documentation, and category context to generate authentic, brand-aligned product names, titles, feature bullets, descriptions, and specifications—reducing manual effort while improving discoverability and conversion.
Product Identity & Equivalency
Identify duplicate, exact substitute, and functionally equivalent items using structured product data and specification-level comparisons. Support ERP merge-match operations, order substitution, assortment analysis, and search alternatives while tracking the specification differences between related items,
Product Family Modeling
Design intelligent product families. Discover product families, recommend base-variant structures, optimize attribute inheritance, and generate comparison tables. Governed design standards ensure consistent product family, attribute, and table design before publishing approved models to downstream systems.
Hierarchy Mapping
Map and align product hierarchies across systems. Analyze relationships between ERP, PIM, and ecommerce hierarchies in a purpose-built workspace. Review implied mappings, establish explicit mapping rules, and identify gaps and inconsistencies to improve hierarchy alignment across platforms.
Product Relationships
Discover and manage product relationships. Go beyond the limited relationship capabilities of traditional ERP, PIM, and ecommerce platforms. Draw on product data, manufacturer documentation, transaction and order history, and search behavior to identify cross-sells, upsells, replacement parts, supersessions, assembly components, accessories, and related products.
Image Sourcing & Management
Accelerate image onboarding. Source, review, and organize product imagery while enforcing image guidelines, automating metadata, and identifying quality issues. Manage variant imagery, streamline approvals, and publish consistent, channel-ready assets to your DAM and ecommerce platforms.
Catalog & Data Sheet Automation
Automate product publishing. Define layout standards, assemble product content, and generate review-ready catalogs, data sheets, and sales collateral using AI-guided workflows. Collaborate with SMEs to review and approve publications before delivering publication-ready output to your publishing platform.
Search Intelligence
Turn search analytics into better search experiences. Use web analytics to generate redirects, thesaurus entries, part number relationships, and search recommendations that reduce null searches and improve relevance. Continuously identify opportunities to strengthen product data using customer search behavior.
Competitive Analytics
Competitive intelligence, built for product teams. AI automates competitor product matching and cross-reference management, creating governed relationships that enable competitive analysis, identify pricing opportunities, identify assortment gaps and improve customer search experiences.
Optimize Data Across Multiple Platforms
​​Generate and maintain a dynamic semantic layer using AI-enabled knowledge engineering. Automatically discover concepts, entities, relationships, taxonomies, and ontologies from product data documentation and reference content. Configure knowledge graphs that power search, content generation, recommendations, and product intelligence.
Governance
Built-In
Reporting & Analytics
SkuDB features flexible dashboards and reporting tools that provide actionable insights into categories, attributes, values, descriptions, and digital assets. Analyze data accuracy, completeness, rule violations, hierarchy structures, and attribute fill rates across products, categories, brands, business units, and other configurable dimensions.
Controlled Vocabulary
Enhance ecommerce performance in SkuDB by assisting users in creating and managing a controlled vocabulary that standardizes product data across channels, systems, and marketplaces. By ensuring consistent product naming, attributes, and classifications, SkuDB improves search relevance, product discovery, and data quality.
Metadata Management
SkuDB allows flexible, customizable metadata management throughout the application, including definitions, help text, customizable value lists (i.e., code sets), customizable default values, and flexible labelling and sequencing.
Data Quality Management
Workflows built for teams managing product information. ​A built-in Data Quality module allows users to define complex data quality rules, build controlled vocabularies, and check violations against specific data elements or the entire dataset.
Style Guidelines
Author and maintain company-specific and brand-specific style guidelines that ensure consistent product content across all channels. SkuDB helps teams create accurate, compliant, and brand-aligned product information, improving customer trust, search performance, and operational efficiency. By enforcing these governance standards at scale, SkuDB reduces data inconsistencies and enhances the overall quality of the digital commerce experience.