Fewer Returns
Fix expectation gaps that cause avoidable product returns
Higher Trust
Customers buy confidently when listings set accurate expectations
Better Margins
Lower return costs directly improve contribution margins
Clear Listings
Remove ambiguity around fit, feel, usage, and limitations
Faster Diagnosis
Identify high-risk SKUs and root causes quickly
Scalable Fixes
Apply learnings across catalogs, not SKU by SKU
How it works
Audit Catalog
Review listings to uncover unclear, misleading, or missing details
Detect Mismatch
Identify gaps between customer expectations and actual product experience
Recommend Fixes
Provide clear, actionable changes to reduce avoidable returns
Track Impact
Monitor return trends to measure improvement and business impact
Who Is This For?
Built for brands losing margin due to avoidable product returns
D2C Brands with High Returns
Marketplace-Heavy Sellers
Scaling Consumer Brands
Founders Obsessed with Margins
Teams Managing Large Catalogs
Brands Preparing for AI Commerce
Why Catalog Gaps Lead to Costly Returns
Even complete-looking catalogs fail when they don’t set the right expectations
Wrong / missing size cues
Poor material explanation
Vague titles & bullet points
Wrong intent
Lifestyle images that mislead
Unstructured descriptions
Get Early Access
Get AI-commerce ready.
Join brands fixing catalog gaps to reduce returns using advanced AI.
Tel: 981-89-66033
Supernova, Sector 94, Noida, U.P