Amazon is extending the price-history view in Alexa for Shopping to cover a full year, giving shoppers a longer look at how item prices have changed before they buy.
According to Amazon’s product blog on AboutAmazon, Alexa for Shopping now shows 30, 90, and 365 days of price history on eligible product detail pages. AboutAmazon said more than 50 million customers have used the feature since its 2024 launch.
The feature is available to customers in the U.S., U.K., Canada, and India, according to the source article. AboutAmazon said the 365-day view is rolling out to customers in the U.S., U.K., and India in the coming weeks.
How customers can access it
The source article said users can view the information through a price-history link on a product detail page or by tapping the Alexa for Shopping icon and asking the assistant questions such as "Has this item been on sale in the past 30 days?" That access method was also described in reporting from PYMNTS, Tom’s Guide, and Digital Trends.
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What the price history shows
Amazon Seller Central help content, as cited in the source article, says the display reflects the lowest Featured Offer price for each day or week in the selected window. It also includes price changes and the timestamp of the last change.
The article noted that this means the history represents marketplace-visible Featured Offer prices rather than every seller listing price.
Broader rollout and timing
Reporting from Glenbrook and Chain Store Age, as summarized in the source article, linked the update to the rollout of Amazon’s next-gen shopping assistant, Alexa for Shopping, which combines the newer Alexa voice model with features from the earlier Rufus assistant and debuted in May 2026 according to Glenbrook.
The source article also said Digital Trends and Tom’s Guide pointed to the timing ahead of Prime Day as a reason the longer history could help shoppers judge whether a deal is new or routine.
Why it matters
The source article said longer public price-history windows change the data available to pricing analysts, recommendation models, and deal-detection tools. It added that wider public price-history windows alter the observable signal set for retail ML tasks.
According to the source article, access to a 365-day price series can reduce label noise from transient discounts and improve counterfactual checks without requiring third-party scrapers. It also said a longer visible history can help recommendation systems distinguish habitual discounts from real price drops when building recency or savings features.
The article concluded that for data teams working with retail telemetry, the practical benefit is cleaner public labels for historical price-based features, while researchers and tooling teams may have less need for bespoke scraping for simple historical-price checks.