Advertising performance
Track campaign, keyword, target, placement, search term, and product-level performance across Amazon Ads profiles.
AI-powered Amazon seller operations platform
Sailwyn brings Amazon Ads and seller-authorized Selling Partner data together so sellers can understand advertising efficiency, search and catalog performance, sales, inventory, and margin in one account-specific workspace. Machine learning and Amazon Bedrock models then diagnose what changed, isolate wasted ad spend, and recommend bid and budget actions the seller approves before anything is applied.
Platform
Sailwyn connects the day-to-day metrics sellers need to manage advertising, brand performance, product economics, and inventory decisions.
Track campaign, keyword, target, placement, search term, and product-level performance across Amazon Ads profiles.
For eligible Brand Registry sellers, review seller-authorized Search Query Performance, Search Catalog Performance, Amazon Search Terms, and Market Basket reports for the brands and ASINs they are authorized to manage.
Combine sales, fees, settlement data, product costs, shipping costs, advertising spend, and FBA inventory into margin and inventory reporting.
Budget, bid, placement, keyword, and negative-keyword changes run only with explicit seller approval in the Action Center, under configurable rules and a full audit log of every change.
AI and machine learning
Sailwyn applies machine learning and large language models on Amazon Bedrock to each seller's own connected advertising, sales, inventory, and returns data, turning raw reports into a diagnosis, a prioritized list of findings, and recommended actions.
Campaign, keyword, placement, and search-term results are read alongside sales, inventory, and margin to explain why ACOS, ROAS, TACOS, or contribution margin moved, in plain language rather than another chart to interpret.
Models rank the search terms, targets, and campaigns spending budget without converting, quantify the spend at stake, and propose the negative keywords, bid reductions, or budget pullbacks that recover it.
Machine learning on an account's own performance history recommends bids, budgets, placement adjustments, and dayparting schedules. Each recommendation arrives as a queued action in the Action Center to approve, edit, or reject.
Return rates, return reasons, and shifts in conversion, inventory, and pricing are analyzed together to surface products with a likely quality, packaging, or listing-content problem before it erodes ranking and margin.
AI output is advisory. Sailwyn never applies an AI-generated change without explicit seller approval in the Action Center, and every applied change is audit-logged. Models run inside Sailwyn's own AWS environment using Amazon Bedrock. Amazon data is not sent to third-party generative AI services, is not used to train or fine-tune models, and is not pooled across sellers.
Amazon authorization
Connect Amazon store data through Selling Partner API authorization.
Connect Amazon Ads data through Login with Amazon authorization.
Review connected marketplaces, advertising profiles, sync status, and access health.
Sellers do not share Amazon passwords, client secrets, or API credentials with Sailwyn. Authorization can be revoked through Amazon or by contacting our support team.
Security
Sailwyn processes non-PII business, Brand Analytics, advertising, inventory, listing, and financial reporting data. Write actions are limited to advertising optimization within a seller's own Amazon Ads account — budget and bid updates, placement bid adjustments, creating exact-match keywords from harvested search terms, and creating negative keywords and negative product targets — plus sending Amazon's standard review requests for eligible orders. Each write requires explicit seller approval in the Action Center and is fully audit-logged. Sailwyn does not create campaigns or ad groups, add positive product or category targets, or create, update, or delete listings, orders, or any other seller account data. Buyer names, phone numbers, addresses, shipping labels, and tax invoice data are not part of the product scope.
Authorization tokens are stored encrypted and are never shown in the user interface, reports, or logs.
Seller accounts, advertising profiles, sync jobs, reports, and operational logs are separated by account.
Account access, authorization changes, sync activity, and every advertising write — budget, bid, placement, keyword, and negative-keyword changes — are logged with account, timestamp, actor, and result details.
Data from an authorized Amazon account is used only to provide Sailwyn to that account. Sailwyn does not pool or aggregate data across sellers, create cross-seller benchmarks, provide one seller's data or insights to another seller, publish or share insights about Amazon's business, or use Amazon-derived insights for OneCommerce's own business purposes. The same limit applies to AI processing: models run inside Sailwyn's own AWS environment, analyze one authorized account at a time, and are never trained or fine-tuned on seller data.
Sailwyn is built and operated by OneCommerce Inc.
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