Evolving Year-End Shopping Season Strategies

Global retail giants Amazon and Walmart are testing the market with different strategies ahead of the 2025 holiday shopping season. Amazon is hosting a second Prime Day in October to proactively drive demand and gauge consumer sentiment while establishing inventory plans. Walmart is actively utilizing agentic artificial intelligence (AI) in logistics and demand forecasting, focusing on reducing excess inventory and improving supply chain efficiency.

Both companies face a complex set of challenges: inflation, tariff uncertainty, vulnerable supply chains, and heightened customer expectations. Analysts suggest that the success of this year's holiday season depends not on flashy sales events but on the ability to provide smooth and reliable shopping experiences.

Amazon's October Prime Day: A Demand Testing Platform

Amazon's October Prime Day, utilized since 2020, is more than just a sales event. It serves as a strategic tool that simultaneously captures demand and measures consumer sentiment. By stimulating consumption in mid-fall, Amazon can assess how much and what consumers are willing to spend on before the main holiday shopping season.

If consumers respond aggressively to discounts, it signals pent-up demand exists and suggests discount strategies will be effective during the holiday season. Conversely, a lukewarm response indicates households are cutting spending to focus on essential purchases.

Frank Kenney, Director of Strategy at Cleo, explained in an interview with PYMNTS: "Given today's economic uncertainty, you can see why retailers are creating more mini-holidays. They don't need month-long events—they just need enough justification for consumers to buy a new TV, replace a broken refrigerator, or purchase a gadget they 'didn't know they needed.'"

Walmart's AI-Driven Inventory Optimization

Walmart is responding to uncertainty with a technology-centered approach. The company is making substantial investments in agentic AI-based demand forecasting tools, using them to simulate various demand scenarios and optimize procurement based on cost and availability.

Walmart's strategy involves using more sophisticated modeling to reduce excess inventory and the need for markdowns while still meeting customer expectations. AI-driven logistics optimization is used to cut delivery costs and enhance supply chain resilience, while also providing personalized experiences at the customer interaction stage.

Growing Complexity in Inventory Planning

While the retail industry is accustomed to volatility, 2025 presents a combination of factors that make inventory planning particularly complex.

Key Challenges:

• Inflation: Pressure on household discretionary spending capacity
• Tariff Uncertainty: Reduced cost predictability
• Supply Chain Vulnerabilities: Limitations of just-in-time production exposed
• Rising Customer Expectations: Increased demands for delivery speed and transparency

In this environment, Amazon's October Prime Day serves as both a lever to pull forward demand and a litmus test for consumer sentiment. Before making large bets on holiday inventory, it allows measurement of how much consumers are willing to spend and which categories resonate.

This explains why analyses suggesting the sale focuses more on gaining insights than profitability are gaining traction.

Different Strategies, Shared Risks

Both companies face the challenge of balancing inventory management with customer experience in an era of uncertainty. Success depends not on flashy sales events but on the ability to provide smooth, reliable, low-friction shopping experiences.

[AI Analysis] Holiday Season Outlook and Implications

The shopping season from September to December 2025 is likely to be more than just a peak period—it could become a stress test for the future of commerce.

If Amazon's October Prime Day elicits strong consumer response, it will signal optimism for the holiday season. Conversely, a tepid response could trigger a shift toward conservative inventory strategies across the retail sector.

Walmart's AI-driven approach has the potential to become an industry standard in the long term. If agentic AI substantially improves demand forecasting accuracy, other retailers are expected to accelerate similar technology investments.

Changes to Watch:

• Traditional concentrated holiday shopping patterns are dispersing, with potential normalization of 'mini-holiday' events
• Inventory management evolving from simple volume procurement to data-driven dynamic adjustment
• Growing need to rebalance delivery speed and cost

From a consumer perspective, more frequent discount opportunities will be available, but true value will come from consistent, predictable shopping experiences. If these experiments by the two giants succeed, they will chart a new direction for retail in an age of uncertainty.