Walmart has secured new patents to increase the use of machine learning and automation in its pricing strategy, especially across its e-commerce operations. The system can analyze demand patterns, inventory levels, and market data to recommend price adjustments and automate markdowns. While the company clarified it is not implementing real-time “surge pricing,” the technology is designed to make pricing more dynamic and data-driven.
This signals a major shift toward algorithm-driven pricing in e-commerce, where prices can be optimized faster than human teams can manage manually. As Walmart continues scaling its online business (already exceeding $150B), AI-powered pricing could improve competitiveness against rivals like Amazon.
However, the move is also drawing regulatory attention, with concerns that automated pricing—especially for essentials—could lead to confusion or unfair practices.
Takeaway for sellers:
- Pricing will become more competitive and data-driven
- Monitor competitor pricing more closely than ever
- Use repricing tools or dynamic pricing strategies
- Focus on value differentiation, not just lowest price
