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SellerSprite Amazon BSR Sales Prediction

wenmai-aibywenmai-ai
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3
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Soluciones de Comercio Electrónico

Estimates Amazon product sales volume and revenue based on primary category nodes and Best Sellers Rank (BSR) using SellerSprite data.

The SellerSprite Amazon BSR Sales Prediction skill connects Claude Code to the Wenmai SellerSprite standard API endpoint to query, verify, and analyze estimated Amazon sales volume from BSR rankings. By supplying an Amazon marketplace code, a top-level category node ID, and a target BSR rank, cross-border e-commerce sellers and data analysts can retrieve verifiable gateway data to benchmark competitor performance, evaluate market potential, and make informed product selection decisions.

Características Principales

01Integrates securely with Wenmai AI's SellerSprite standard API gateway
02Predicts Amazon sales volume and performance metrics from category IDs and BSR ranks
03Parses and formats normalized gateway responses with request IDs and unit metadata
043 GitHub stars
05Maintains verifiable API request structures with complete parameter enforcement
06Provides clear error diagnostics for API limits, credentials, and schema mismatches

Casos de Uso

01Automating competitive intelligence and sales benchmarking reports in AI workflows
02Estimating monthly unit sales for competitor products across Amazon marketplaces
03Conducting e-commerce market demand analysis before launching new Amazon listings