DoorDash's AI strategy is evolving from simple chatbots to true agentic commerce. This means the system won't just suggest food but will take action, such as automatically ordering a user's lunch by integrating with their calendar to know when they're available, creating a fully automated, personalized experience.

Recognizing the increasing complexity of modern life, DoorDash framed its value proposition not just around convenience, but as a comprehensive support system. This "24/7 life assistant" metaphor unifies its services for consumers, merchants, and Dashers under a single, ambitious mission.

Instead of focusing on the 'how' (chat vs. voice), DoorDash's AI strategy starts with the 'what': the customer's complete, end-to-end job. For DoorDash, that's getting a physical item delivered. This grounds AI development in solving a real problem, preventing teams from chasing shiny tech without purpose.

Walmart's AI strategy is moving beyond simple search optimization. By using its AI assistant, Sparky, to understand customer intent, Walmart is proactively guiding users to discover new products. This shift to 'intent-driven commerce' increases basket size and frequency, representing a fundamental change in how large retailers drive growth and digital engagement.

The tedious, repetitive, and time-consuming nature of online grocery shopping makes it the ideal beachhead for AI agents to demonstrate their value. By solving this complex task, agents can build consumer trust and habits, which will then accelerate the adoption of agentic commerce across all other categories.

The future of AI in e-commerce isn't just better search results like Amazon's Rufus. The shift will be towards proactive, conversational agents that handle the entire purchasing process for routine items, mirroring the "one-click" convenience of the original Amazon Dash button but with greater intelligence.

Walmart demonstrates the tangible revenue impact of mature AI integration. By deploying tools like GenAI shopping assistants, computer vision for shelf monitoring, and LLMs for inventory, the retailer has significantly increased customer spending, proving AI's value beyond simple cost efficiencies.

DoorDash recognizes that web traffic is now majority non-human agents. Their strategy is shifting to be "agentic first," creating interfaces like a CLI that allow other AI agents to programmatically use their service, unlocking new use cases like automated pantry restocking.

DoorDash's conversational AI, "Ask DoorDash," successfully overcomes user habit loops. 50% of AI-driven restaurant searches result in orders from places customers have never tried before, a key metric that was historically difficult to influence.