Retail, 17 March 2026

Walmart — AI Assistant Sparky Increases Average Order Value by 35%

Walmart — the world’s largest retailer.

Problem

Traditional e-commerce search was keyword-based and hierarchical rather than goal-oriented. Customers struggled to plan complex, multi-item shopping trips (e.g. “everything needed for camping”).

Result

35%

Customers using Sparky show 35% higher average order value (AOV). 50% of mobile app users are now engaging with the new AI assistant.

Solution

They built an AI shopping assistant named Sparky that uses Anthropic Claude and OpenAI models for natural language understanding and intent detection. It integrates directly with merchandising, inventory, and fulfillment systems.

Could a small team do this?

Yes, with substantial retail domain adaptation. Requires intent-understanding agents, real-time inventory checking, and basket optimization logic.

Sources

All use cases