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BENTONVILLE, Ark. — Walmart built an AI model for the retail sector.
Walmart developed the large language model (LLM) family Wallaby to primarily create customer-facing experiences, according to the company today.
Wallaby is trained on decades of Walmart data and to respond in a natural tone that "aligns with Walmart’s core values."
The company can combine Wallaby with other LLMs to create responses that are "highly contextual and tailored to the Walmart environment."
Walmart also used a combination of generative AI platforms to develop a more personalized version of its AI Customer Support Assistant chatbot.
The Customer Support Assistant can recognize the customer, understand the customer’s intent and take actions, such as finding orders and managing returns.
Walmart said it is building dozens of other GenAI tools for customers, members, associates and partners that use its GenAI platforms, including enhanced care assistants for Sam’s Club and Walmart International.
“A standard search bar is no longer the fastest path to purchase," said Suresh Kumar, global CTO and chief development officer, Walmart. "Rather, we must use technology to adapt to customers’ individual preferences and needs.
“At the heart of our platform strategy is developing common global core capabilities that are built once and deployed across Walmart U.S., Sam’s Club and Walmart International. As a global company with multiple business segments, this enables us to move with speed as we bring consistent experiences to all our customers and members.”
