How does Walmart’s approach to natural language understanding compare to other retailers?
Walmart’s natural language understanding (NLU) approach stands out among retailers due to its retail-focused, multi-layered conversational AI platform. Built on their proprietary “Converse” system, Walmart combines advanced NLU capabilities like intent recognition, product entity extraction, and contextual continuity with foundational models from OpenAI, all fine-tuned on Walmart’s vast retail catalog and conversation data.
This enables real-time voice and text ordering, international chatbots, and in-store assistants like Ask Sam that understand both intent and localized context such as distinguishing “Great Value Almond Milk” as a product, not just generic terms. Compared to other retailers, Walmart’s NLU is more deeply integrated, context-aware, and globally adaptive underpinned by decades of retail data, making it uniquely effective at understanding and serving customer and associate needs in natural language.
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Embracing Digital Citizenship at Walmart: Building Trust in Tech
At Walmart, Digital Citizenship means using technology responsibly, ethically, and transparently to build trust with customers, associates, and partners. It includes strong practices in data privacy, cybersecurity, fairness, and digital inclusion. Walmart ensures that every innovation—from AI to mobile apps—respects people’s rights and values.
To make this work in real life, Walmart has a dedicated Digital Citizenship team. They work with product, legal, and tech teams to embed ethical thinking into every stage of product development. Whether it's protecting personal data or making AI decisions fair and explainable, Walmart uses Digital Citizenship as a guide to build technology that serves people, not just systems.
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What technologies power AI at Walmart, and how are they integrated into legacy systems

AI at Walmart uses technologies like machine learning, computer vision, and big data to make shopping smarter and operations faster. These tools run on powerful cloud platforms like Microsoft Azure and Google Cloud.
To connect AI with older systems, Walmart uses things like APIs and microservices. This means new tech can work with existing systems without causing problems. So, Walmart can keep stores running smoothly while adding smart features like real-time inventory, chatbots, and faster delivery.
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Solving RAG Sprawl with Agentic AI: Walmart Global Tech

Discover how Walmart Global Tech is tackling the challenges of RAG and agent sprawl using cutting-edge Agentic AI. Learn how structured orchestration of AI agents is boosting efficiency, scalability, and reliability in enterprise-level AI systems.

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Walmart's Generative AI for Retail Shopping Assistant

Discover how Walmart Global Tech is building a GenAI-powered shopping assistant to transform retail. Using Generative AI for retail, the solution personalizes product discovery and streamlines shopping, elevating customer satisfaction.

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