Inside Amazon’s Secret Operation to Gather Intel on Rivals
Amazon’s secret “Big River” program, which used shell companies to sell on rival marketplaces like Walmart and Alibaba to gather detailed operational and pricing data, is provoking debate over whether this is ordinary competitive research or an unethical trade‑secret grab. Commenters compare it to long‑standing practices like clean‑room reverse engineering and secret shoppers, but note the added concern that Amazon also runs the dominant marketplace and cloud platform, raising broader questions about platform self‑dealing, data misuse, and the limits of current antitrust and trade‑secret enforcement.
Nature of the Big River Operation
- Program created a shell seller (“Big River”) to operate on rival marketplaces (Walmart, Etsy, Alibaba, etc.) and gather granular data (pricing, logistics, UX, seller experience).
- Many commenters see this as scaled-up “secret shopper” / reverse-engineering behavior: analogous to buying a competitor’s product, tearing it down, or flying on rival airlines.
- Others find aspects “creepy” or “gross,” especially staff posing as ordinary vendors at conferences, but still not clearly illegal.
Legality, Trade Secrets, and Misrepresentation
- One camp argues misrepresentation to gain access to non-public operational details could implicate trade secret issues.
- Another camp responds that if Amazon only uses services as any qualifying third-party could, insights are effectively public and likely not trade secrets.
- Tangent: debate over whether hosting sensitive code or data on AWS can still qualify as a protected trade secret; some note AWS’s contractual promises not to access customer content, but question whether that’s sufficient “reasonable protection” in court.
Platform Self-Competition and Regulation
- Strong criticism of Amazon’s dual role as marketplace operator and competitor on that marketplace.
- Comparisons to supermarket house brands (Kirkland, Great Value) raise doubts about how to regulate this without sweeping in many retailers.
- Reference to securities law: stock exchanges are heavily constrained from self-dealing; some wonder if a similar regime is feasible for retail platforms, but doubt the FTC’s enforcement capacity.
Competitive Intelligence as Standard Practice
- Multiple examples: renting cars to tear them down, reverse-engineering security products, hardware clean-room cloning, inventorying Walmart stores to design Prime offerings.
- View that any sizable firm inevitably builds formal “competitive intelligence” teams; Amazon’s scale makes its version look more dramatic but not unique.
Pricing, Scraping, and Consumer Impact
- Discussion of Amazon/Walmart scraping competitors’ prices, and browser/receipt-based data collection to feed pricing algorithms.
- Some see this as normal, even beneficial competition that lowers prices.
- Others worry about predatory undercutting of smaller sellers and tacit or algorithmic collusion, analogized to rental-market pricing software.
Cloud Trust and AWS / Walmart
- Several anecdotes that Walmart and others explicitly forbid vendors from using AWS due to fear of Amazon leveraging data competitively.
- Some commenters consider those fears overblown given AWS’s stated policies; others note similar worries about Microsoft and Google.