Full Breakdown
Seattle Moves to Ban “Surveillance Pricing” in Grocery Stores
By Drooid · · How we work
Core Event: City Council to Vote on Fair Pricing Ordinance
Seattle’s City Council will vote on the Fair Pricing and Transparency Ordinance, which would bar large grocery retailers and delivery platforms from using shoppers’ personal data—such as browsing history, location, or inferred income—to set prices for groceries and essential items. The measure applies to retailers with 20 or more locations and requires clear disclosure of any discount criteria while allowing traditional loyalty programs that do not rely on personal profiling.
Background & Context
The ordinance follows state-level bans in Maryland, Connecticut and New Jersey and New York’s 2025 disclosure rule. Consumer Reports investigations in 2025 found that chains including Albertsons (owner of Safeway), Costco, Kroger and Target used data-driven pricing experiments that produced different prices for identical products. A 2025 study by Consumer Reports and Groundwork Collaborative showed Instacart’s AI pricing tool generated price variations of up to 23 % for the same basket of goods, potentially costing families more than $1,200 annually.
Data & Statistics
- Price variance: Instacart’s experiment showed up to a 23 % difference in price for identical items, with basket costs ranging from $114.34 to $123.93 in a Seattle Safeway test. Only 8 % of shoppers received the lowest total price.
- Potential savings loss: A Safeway-linked website estimates families could lose an average of $100 in discounts if the ordinance passes.
- Discount programs at risk: Safeway’s spokesperson says its loyalty program saves the average shopper $30 per week; the ordinance could force its cancellation.
- Industry reach: Consumer Reports identified surveillance pricing practices at Costco, Safeway, Kroger and Target; Walmart denies using personal data for pricing.
Official Statements & Responses
- City leadership: Councilmember Alexis Mercedes Rinck, who authored the ordinance with Mayor Katie Wilson, argues that pricing should be based on the product, not the shopper, and that data brokers should not influence basic-necessity costs.
- Retail opposition: The Northwest Grocery Retail Association and Washington Retail Association warn that eliminating data-driven pricing could remove existing discount programs, potentially raising overall grocery costs. Safeway’s spokesperson Sara Osborne says the rule would eliminate “additional savings” and force customers to pay full retail price. The company notes that only ten of its retail partners currently use the AI pricing tool and that most customers see standard prices.
Criticism & Opposition
Retail representatives contend the ordinance may backfire by removing loyalty-based discounts that many low-income shoppers rely on. Safeway emphasizes that its use of customer information is “responsible” and aimed at voluntary savings, not price hikes. Industry groups also caution that enforcement could strain the city attorney’s office and inadvertently affect security-camera policies, raising safety concerns for grocery workers.
Conflicting Reports & Gaps
- Use of personal data: Instacart denies any use of personal or demographic data in its pricing experiments, while Consumer Reports’ 2025 investigation found no direct evidence of such data use but documented significant price variation.
- Impact on discounts: Safeway projects a $30-per-week loss for shoppers, yet the city’s analysis does not quantify the net effect of eliminating data-driven pricing versus preserving existing loyalty discounts.
- Scope of enforcement: The ordinance excludes stores with fewer than 20 locations, but it is unclear how “large grocery chains” will be defined for delivery platforms that partner with multiple retailers.
What’s Next
The council’s vote is scheduled for Tuesday at Seattle City Hall. If approved, the ordinance will require retailers to submit compliance reports and will trigger a city-run audit of discount programs to ensure they do not rely on prohibited personal data.