Ozon Shop Product Search

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Analyzes Ozon seller catalogs and performance metrics including 30-day sales, pricing, fulfillment models, and return rates.

The Ozon Shop Product Search skill enables comprehensive competitor and seller intelligence on the Ozon marketplace using the Seerfar analytics database. By querying a specific seller ID, AI agents can retrieve complete shop product listings alongside critical performance signals such as 30-day unit sales, shop-level revenue, ruble pricing, review ratings, product weight, fulfillment methods (FBO vs. FBS), seller type (domestic vs. cross-border), and return rates. This skill is indispensable for e-commerce operators conducting competitor store teardowns, discovering bestselling products, assessing fulfillment strategies, and benchmarking shop health on Ozon.

Key Features

01Shop-level catalog retrieval with granular 30-day sales volume and pricing metrics
0255 GitHub stars
03Seller classification identifying local vs. cross-border Ozon merchants
04Return and cancellation rate tracking for third-party merchant benchmarking
05Fulfillment model detection distinguishing between FBO (by Ozon) and FBS (by seller)
06Flexible sorting options by sales volume, price, review ratings, and listing date

Use Cases

01Competitor store analysis and catalog teardown to identify top-performing SKUs
02Best-seller and new arrival discovery for trending product opportunities on Ozon
03Cross-border merchant benchmarking to optimize pricing and fulfillment strategies