Walmart has secured two U.S. patents for machine learning systems to support markdown pricing and demand-based price recommendations, while emphasizing that the technology is not intended for surge or fully automated dynamic pricing.
Key Takeaways
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Patents support pricing decisions, not surge pricing: The patents cover a system for automatically updating markdown prices in e-commerce and another for predicting demand and recommending prices, which Walmart characterizes as tools to aid human decision-makers rather than a move into surge pricing.
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Digital shelf labels enable faster price moves: Walmart’s plan to deploy digital shelf labels across about 5,200 U.S. stores by 2027 will allow real-time price updates at scale, tighter synchronization between online and in-store prices, rapid promotions, and reduced labor for changing paper tags.
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Broader data and AI push reflects leadership priorities: Recent launches include the Scintilla In-Store data insights platform for suppliers, AI tools in the associate app, and the appointment of tech-savvy CEO John Furner, all pointing to an effort to expand Walmart’s digital footprint and run stores more intelligently.
