boxemv1.3.0

Use getBoxemSellersAmazonItemAnalyticsBySku to pull per-SKU performance data, then executeCode with Lua to compute winning price points and push updates via the Amazon Seller API. Sellers can automate price adjustments across hundreds of SKUs without manual spreadsheet work.

Run amazonProductsCatalog to retrieve product names and sales ranks across candidate ASINs, then amazonUngateProducts to check listing restrictions and fetch ungate URLs. This helps sellers vet profitable products before investing in inventory.

Use httpRequest to scrape competitor listings, getBoxemSuppliers to track supplier catalogs, and createIntervalJob to schedule recurring checks. Email alerts via sendEmail notify the seller when prices or availability shift.

Schedule a background interval job that calls dailyAnalyticsStats for the trailing 30-day window and formats a summary. The report is emailed daily, giving sellers a hands-off dashboard of revenue, units, and trends.

Combine createAmazonListings with the knowledge and knowledgeLookupWithFileIndex tools to draft compliant listings grounded in FBA/WFS best practices. Lua scripts via executeLuaFile can generate bulk variations and metadata at scale.

Brands that source generic products, apply their own branding, and sell exclusively on Amazon FBA. They rely on analytics and repricing tools to protect margins against competitors.

Agencies or SaaS providers building dashboards and automation layers on top of Boxem MCP for multiple seller clients. They charge subscription or service fees for repricing, reporting, and listing management.

High-SKU-count sellers flipping branded goods sourced from distributors or retail. They depend heavily on catalog checks, ungate workflows, and rapid repricing to stay competitive on the Buy Box.