Instacart AI pricing tests charge different prices for identical groceries across major chains

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A joint investigation by Consumer Reports and Groundwork Collaborative exposed Instacart's AI pricing experiments, revealing that 74% of grocery items showed different prices for the same products from the same stores. The price-testing experiments, conducted using Instacart's Eversight tool, could cost households up to $1,200 annually, raising concerns about consumer trust and affordability during ongoing grocery inflation.

Instacart AI Pricing Tests Reveal Widespread Price Differences

Instacart has been charging customers different prices for the same items picked up from identical stores, according to a comprehensive study published by Consumer Reports, Groundwork Collaborative, and More Perfect Union

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. The investigation, which involved 437 volunteers across four U.S. cities, uncovered that nearly 74% of grocery items displayed varying prices despite being added to carts from the same store at the same time

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Source: TechSpot

Source: TechSpot

The research methodology required participants to build identical shopping carts on Instacart for retailers including Safeway, Target, Costco, Kroger, and Albertsons, then record their results without completing checkout

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. Results showed dramatic price variations: a dozen Lucerne eggs from a Washington, D.C. Safeway appeared at five different prices—$3.99, $4.28, $4.59, $4.69, and $4.79

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. Oscar Mayer Deli Turkey showed similar disparities, with prices ranging from $3.99 to $4.89, representing a 23% markup between the lowest and highest price

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How AI-Powered Algorithms Drive Dynamic Pricing Tests

Instacart confirmed it conducts price-testing experiments using Eversight, an AI-powered pricing tool the company acquired in 2022

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. The company stated that "a subset of only 10 retail partners—ones that already apply markups—do the same online via Instacart"

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. These "limited, short-term, and randomized tests help retail partners learn what matters most to consumers," according to Instacart's response

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Source: PC Magazine

Source: PC Magazine

The system operates through machine learning techniques including smart rounding, which adjusts prices in fractional increments to test consumer preferences and sensitivity

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. Investor materials reveal this technology can boost sales by one to three percent and increase profit margins by up to five percent for retail partners

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. Instacart insists these are "not dynamic pricing [since] prices never change in real-time" and claims they "never use personal, demographic, or user-level behavioral data"

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Financial Impact on Households and Consumer Trust

The average price difference between the lowest and highest price across tested items was 13%

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. Applying a 7% variation to the $363 that Instacart says an American household of four spends monthly on groceries, the cost swing could reach approximately $1,200 per year

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. In one Seattle-area test, identical Safeway baskets varied by nearly $10, while a Target basket in Ohio ranged from $84.43 to $90.47

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Source: HuffPost

Source: HuffPost

"Instacart is quietly running pricing experiments on millions of shoppers during the worst grocery affordability crisis in a generation," said Lindsey Owens, executive director at Groundwork Collaborative

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. The practice raises concerns about consumer trust at a time when nearly half of Americans report grocery prices as a major source of financial stress

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. Industry experts warn that algorithmic pricing could lead to surveillance pricing models and potential price discrimination, particularly if location or buying history data is used to infer shopper characteristics

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Retailer Responses and Regulatory Scrutiny

Target explicitly denied participation in the experiments, stating it "is not affiliated with Instacart and is not responsible for prices on the Instacart platform"

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. Following the report, Instacart discontinued tests at Target and Costco

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. The investigation also uncovered instances of fictitious reference pricing, where Instacart presented different original prices for discounted items, altering the perceived size of savings

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The Federal Trade Commission has already issued warnings about companies using personal data to set individualized prices

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. Several states are introducing legislation to address algorithmic pricing, with New York's Algorithmic Pricing Disclosure Act requiring companies to disclose when prices are set by algorithms using personal data

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. Patent filings by Instacart and Eversight from 2017 to 2025 mention potential use of behavioral and demographic data—including age, household size, income, and purchase history—to refine offers and group customers

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. As AI-driven dynamic pricing becomes more prevalent across retail, shoppers face increasing uncertainty about whether they're receiving fair prices, making transparency and regulatory oversight critical for maintaining affordability and trust in digital grocery platforms.

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