Product Catalog AI
Product Catalog AI is fabric AI’s specialized functionality for Product Catalog, designed to help retailers optimize and maintain high-quality product data.
By providing targeted insights and recommendations, Product Catalog AI enables merchandisers to enhance product visibility, align content with brand and SEO standards, and ensure accurate, engaging product information across channels.
Key Capabilities
Product description analysis
Product Catalog AI evaluates product descriptions using a set of proprietary criteria to surface content to users that’s non-optimized. Some of the evaluation criteria used includes: accuracy, clarity, SEO, and unique merchant preferences such as tone of voice. A detailed analysis is shown to the user with a score of ‘Good’ or ‘Poor’ for each criteria, as well as a written explanation for how each score was determined. This analysis of descriptions is done in real time, reduces manual efforts by days, if not weeks, and helps merchandising teams focus on products that need optimization.
Content generation
Product Catalog AI generates optimized product descriptions tailored to your industry, brand voice, and SEO requirements. For example, if you sell home decor, Product Catalog AI can update a generic description, such as “A stylish lamp for your living room” into “Elevate your living space with this modern table lamp featuring a sleek brushed metal finish and adjustable brightness—perfect for creating a cozy ambiance.” These improvements help you create compelling content more efficiently.
Automated Workflows
Product Catalog AI gives the user quick actions such as ‘Apply Suggestion’ to automatically navigate the user to the appropriate page to implement the recommended content. It makes analyzing, generating, and updating descriptions a breeze so merchandising teams can push their updated product data to all sales channels immediately.
Use Case
A merchandiser at a home furnishings retailer receives a report that shows sales for the decorative mirrors category of products are under-performing, particularly in regards to SEO. They suspect the issue might lie with the product descriptions and metadata, but lack the time for a manual review.
Using Product Catalog AI
The merchandiser uses Product Catalog AI to analyze the decorative mirrors category.
- The merchandiser sends a custom query: How can I improve the SEO and conversion rates for decorative mirrors?
- The Product Catalog AI evaluates the category’s product descriptions and provides actionable insights in the following areas:
- Product descriptions are too generic and lack relevant keywords.
- Product Catalog AI generates custom descriptions that match the retailer’s brand voice and are optimized for SEO best practices.
- After reviewing the recommendations, the merchandiser applies the updates with a single click. The updated descriptions are published to sales channels in real-time to boost the category’s SEO rankings, driving more organic traffic to the retailer’s site. Improved product visibility might lead to increased customer engagement and higher conversion rates, addressing the initial issue efficiently.
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