Improve product data quality, completeness, and consistency so AI systems can accurately understand and evaluate your assortment.
Understand how AI compares and recommends products within your categories, and identify opportunities to improve selection and ranking.
Position your assortment for AI-driven discovery, product recommendations, and the next generation of shopping experiences.
Category-Specific Data Intelligence
Understand the attributes, product information, and evidence AI systems rely on when evaluating products within each category.
Product Data Enrichment
Identify missing attributes, inconsistent information, and opportunities to strengthen product data across your assortment.
AI-Ready Product Information
Improve product descriptions, structured data, and supporting content to help AI systems accurately understand, compare, and recommend products.
Category Intelligence
Understand which products AI recommends, how category requirements differ, and what influences selection across competing products.
Assortment Optimization
Identify product-level opportunities across your assortment and prioritize improvements based on category intelligence and recommendation performance.
AI Recommendation Analytics
Measure product rankings, recommendation frequency, and share of voice to understand how your categories perform across AI shopping environments.
Connected Commerce Ecosystem
Support consistent product information across your ecommerce platform, product data systems, and AI shopping channels.
Product Data & Distribution
Strengthen the accuracy and consistency of product information across the channels influencing AI-driven discovery and recommendations.
Scalable Optimization
Apply category-specific insights and product recommendations across large assortments, helping teams prioritize improvements efficiently.
"What stood out most was how clearly Novi connected structured product data, trust signals, and verification to real AI visibility and recommendations."
"We’ve always aimed to stay ahead of the curve — bringing household consumables to ecommerce early and pioneering biobased cleaning for over 30 years. Partnering with Novi is a natural next step, helping ensure Dropps is represented clearly and accurately in AI-driven shopping experiences."
Yes. Novi’s retailer solution helps improve how AI systems understand, categorize, and recommend the products in a retailer’s assortment. It combines catalog enrichment, category intelligence, and performance measurement to support stronger product discovery across AI platforms.
Novi improves product data by identifying gaps in attributes and structure, then enriching and standardizing listings based on how AI systems rank and recommend products. Using category-specific intelligence, we apply the right schema and signals across the catalog to improve visibility, increase selection, and drive better performance.
AI systems rely on structured, consistent product information to understand what products are, where they belong, and when to recommend them.
Novi improves retailer catalog data by optimizing product information at scale. We analyze each product, identify gaps in attributes and structure, and enrich listings with the data AI systems use to rank, compare, and recommend products. Our category-specific intelligence ensures the right schema, attributes, and trust signals are applied across the catalog, resulting in more complete, consistent data that improves visibility, increases selection, and drives better performance across AI-driven shopping experiences.
