Fireside Chat with Dominique Essig (Walmart) and James Poulter (Vixen Labs)
summary
Walmart launches text to shop general availability in the US letting customers message from native SMS/RCS or iMessage, access the full assortment, reorder, edit and complete purchases; the conversational stack uses a proprietary NLU built on open source and trained on Walmart data, plus partnerships (Apple Messages for Business, Siri app actions, Google Assistant) and an acquisition, Botmock, to speed conversational design. Focus is recurring household shopping across 4,500+ stores.
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chapters (16)
- 0:00Introduction and speakers
- 0:21Walmart’s conversational AI focus
- 1:25Domains of conversational AI at Walmart
- 3:10Understanding customer pain points
- 5:00Introducing Text to Shop feature
- 6:23Potential of large language models
- 8:07Future of synthetic voices
- 9:32Walmart’s innovation structure
- 10:54Build vs. acquire strategy
- 12:41Mobile app as voice interface
- 13:44Generative AI opportunities
- 15:11Conversational AI in metaverse
- 16:57Personalization and brand personality
- 18:41Advice for newcomers in voice
- 20:29Moving experiments to core business
- 21:32Closing remarks and Q&A
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