It’s simple: Whenever I have the time, I hit different supermarkets to make sure I’m getting every item at the lowest possible price. Tracking discounts has been a part of my normal routine for more than a decade.
When I’m rushed, I must do all my shopping at one store but still look for the best value. Recent industry statistics and trends reveal I am not alone.
In fact, 47% of global consumers, including 35% belonging to high-income households, are now classified as “value seekers,” or people who regularly sacrifice convenience for better deals, according to Deloitte 2026 Consumer Products Industry Global Outlook.
With the index of food at home rising 2.4% over the 12 months ending in February, according to U.S. Bureau of Labor Statistics, consumers are changing strategies to afford basic necessities.
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Private labels: Consumers are increasingly shifting toward private labels.
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Intentionality: 45% of consumers now make strict shopping lists before entering a store, and 37% compare prices between brands before deciding.
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Bulk buying: There has been a 4% increase in shoppers choosing larger “value sizes” to lower the cost per ounce.
Sources: NielsenIQ October 2025 report, NielsenIQ 2026 Consumer Outlook
As consumers become more creative to deal with the current economic climate, retail giants such as Walmart are making changes of their own, some of which have shoppers worried.
Walmart was recently awarded patents from the U.S. Patent and Trademark Office (USPTO) for AI tools that help set pricing across its e-commerce platforms, reported Gizmodo.
One of those patents, US-1254776-B2, contains systems and methods for dynamically and automatically updating item prices across e-commerce platforms.
“When price elasticity data and predicted demand data for the item are both available, a first markdown price is generated for the item using a first model based on: the price elasticity data, the predicted demand data, and the current price,” reads the patent description.
When the price elasticity data and predicted demand data aren’t available, it creates a “bounded price” that allows for a range to be chosen to set a new price on the platform.
The second patent recently granted to Walmart, US-12572954-B2, relies on machine learning to predict the demand of various items and recommend prices. “The schematic in the filing even shows that third-party data may be used to help determine the price, a controversial practice when it’s employed by other businesses like airlines to set fares,” writes Gizmodo.