Rudy Lai

AI @ Costco

Membership model, consistent growth
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Costco has been steadily integrating AI technologies across its operations from 2019 through early 2026, with significant advances in inventory management, employee scheduling, customer personalization, and supply chain efficiency. Key leaders like CEO Ron Vachris have emphasized a 'very Costco way' approach to AI adoption.
  • Financially, Costco leveraged AI to optimize operational efficiencies, contributing to increased in-stock levels over 98%, improved pharmacy script growth, and enhanced customer loyalty through exclusive membership perks. The company’s membership framework, especially its executive memberships, remained a strong profit pillar, boosted by AI-driven operational improvements.
  • Costco's AI use cases span traditional predictive analytics and more advanced agentic AI applications, focusing on demand forecasting, supplier performance monitoring, and retail media network segmentation. These AI implementations mainly aim to reduce costs and improve the customer experience, while positioning Costco competitively in the evolving retail landscape.

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6 AI Use Cases at Costco

Inventory Forecasting
2025
Traditional
Generative
Agentic
Outcome
Costs
Costco uses AI to predict product demand by feeding sales data, supplier lead times, weather variables, and regional patterns into machine learning models to optimize replenishment and reduce overstock or stockouts. [1][2]
Customer Personalization
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
AI personalizes the shopping experience by analyzing member data to offer tailored recommendations, exclusive perks, and improve overall customer satisfaction and loyalty. [1][2]
Retail Media Segmentation
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Costco uses AI-powered platforms such as GrowthLoop to segment retail media audiences more precisely, enhancing the effectiveness of marketing campaigns and advertising revenue. [1]
Operational Efficiency
2025
Traditional
Generative
Agentic
Outcome
Costs
Agentic AI systems autonomously monitor, plan, and execute logistics and supply chain operations, resulting in faster delivery, reduced lead times, and cost savings. [1][2]
Supply Monitoring
2024
Traditional
Generative
Agentic
Outcome
Risk
AI systems monitor supplier performance in real-time by tracking delivery times, order accuracy, and product quality metrics to ensure reliable inventory and streamline the supply chain. [1]
Employee Scheduling
2024
Traditional
Generative
Agentic
Outcome
Costs
AI optimizes employee schedules by analyzing peak shopping hours, employee availability, and sales forecasts to ensure operational efficiency and proper staffing. [1]

Timeline

2026 Q1

1 updates

AI has improved in-stock levels to over 98%, boosted pharmacy script growth, and demonstrated that Costco’s digital ecosystem powered by AI drives robust growth.

2025 Q4

4 updates

CEO Ron Vachris discusses embedding AI throughout operations in a tailored approach; focus on membership data and proprietary insights driving AI advantages; beginner guides published to educate customers; AI-enhanced forecasting and replenishment functionalities further advanced.

2025 Q3

4 updates

Expansion of AI use cases across demand forecasting, retail media segmentation, operational efficiency, and exclusive membership perks; CEO Ron Vachris advocates cautious, integrated AI approach.

2025 Q2

1 updates

Increased focus on AI-driven operational efficiency in logistics and supply chain gains attention ahead of Q3 earnings.

2025 Q1

2 updates

Rollout of AI for travel benefits with Travelport+, plus implementation of automated systems to streamline delivery and reduce lead times and costs in supply chain.

2024 Q4

1 updates

Costco uses AI to personalize shopping experiences, optimize inventory, and improve customer service ahead of growing competitive pressures.

2024 Q3

3 updates

Implementation of AI for bakery product demand forecasting since 2018; monitoring supplier performance metrics, and discussions of long-term growth potential with AI integration.

2024 Q2: no updates

2024 Q1

2 updates

Testing of AI systems to prevent nonmembers entering stores and optimization of employee scheduling using AI based on shopping patterns and sales forecasts.

2023 Q4

1 updates

Highlighting potential for Costco to leverage generative AI to exploit its extensive member shopping data for operational improvements.

2023 Q3: no updates

2023 Q2: no updates

2023 Q1: no updates

2022 Q4: no updates

2022 Q3: no updates

2022 Q2: no updates

2022 Q1: no updates

2021 Q4: no updates

2021 Q3: no updates

2021 Q2: no updates

2021 Q1: no updates

2020 Q4: no updates

2020 Q3: no updates

2020 Q2: no updates

2020 Q1: no updates

2019 Q4: no updates

2019 Q3

1 updates

Early discussions on machine learning adoption in big-box retail, including Costco, Walmart, and Target.