Unauthorized sellers and fraudulent product pages undercut your pricing, damage customer experience and siphon revenue out of your official distribution. Marketplaces won't tell you who they are or how much they sell.
Ayolab's AI-powered product recognition finds your products on e-commerce sites worldwide, even on non-compliant listings, and estimates what each seller really sells, so your Brand Protection team spends its budget where it matters.
You know who sells your brand, with or without authorization, where, in which country, with sell-out estimates on Amazon, eBay and Walmart.
AI-powered product recognition (image and text matching) finds your products across e-commerce sites worldwide, even on non-compliant listings. Machine-learning models estimate each seller's sell-out on Amazon, eBay and Walmart.
You spend your test purchase budget on the sellers that actually matter (1P or 3P).
AI analysis of consumer reviews flags sellers showing counterfeit-suspicion signals. Combined with seller sales estimates, it ranks where each test purchase will prove the most.
You target the fraudulent product pages with the highest sales impact.
AI flags unofficial and duplicate product pages and ranks them by estimated sales impact, so your team acts where it matters.
We'll run a complimentary distribution review for a brand and country of your choice: who sells your products, with or without authorization, where, and how much each seller really sells.
You receive actionable data points to implement targeted price promotions to recover the Buy Box, and assess their impact (ROI).
Automated root-cause analysis explains every lost Buy Box: price, availability or seller.
During peaks (Prime Day, Black Friday Week…) this critical information is delivered at high frequency, so you can take action in real time. Intra-day monitoring and alerts during Prime Day, Black Friday Week and holiday peaks.
You receive weekly scans of sellers in breach of your gating agreement and can take it up with Amazon.
Weekly automated scans of every Amazon site detect sellers in breach of your gating agreement. AI-assisted product recognition catches altered or look-alike listings, and evidence is packaged for Amazon.
You measure the impact of Amazon's commercial decisions (e.g. CRaP) and/or gating loopholes, and take it into your negotiations.
Sales-impact models quantify the revenue lost to Amazon decisions (e.g. CRaP) and gating loopholes, ready for your negotiations.
You audit the performance and quality of your official sellers and can drive up their performance.
AI benchmarking of each official seller's performance and quality (Buy Box share, pricing, availability, estimated sales), with prioritized recommendations to strengthen your 3P strategy.
We'll scan the Buy Box on your key ASINs, explain the root cause of every loss, quantify the sales at stake and suggest the corrective actions to recover them.
Marketplace reports stop at category or cluster level, and only cover your own sales. They don't show what your unofficial sellers, duplicate product pages or competitors really sell.
Ayolab reconstructs it, seller by seller and item by item. This reconstruction is the foundation behind every Ayolab offer: it is what lets us estimate each seller's sell-out, rank your test purchases and quantify your lost sales.
You see what actually sells, seller by seller and item by item (legitimate or duplicate product pages), not only at category or cluster level.
Machine-learning reconstruction of what actually sells, seller by seller and item by item, including duplicate product pages, for your brand and your competitors.
We'll reconstruct the sell-out of a category of your choice, seller by seller and item by item, for your brand and your competitors.
Actionable data and key insights across E-Commerce platforms that can save you millions.
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