AI Agents: Revolutionizing Online Shopping and Digital Marketing
AI agents are making online shopping and digital marketing more efficient and personalized by understanding, adapting to, and supporting each user’s unique journey. These intelligent systems are poised to turn marketing interactions into valuable customer research data.
Revolutionizing the Relationship between Consumers, Marketers, and Publishers
In this episode of the NVIDIA AI Podcast, Jon Heller, co-CEO and founder of Firsthand, discusses how the company’s Brand Agents are revolutionizing the relationship between consumers, marketers, and publishers. By using a company’s own knowledge, Firsthand Brand Agents act as AI-powered guides that engage customers on a brand’s website and beyond, assisting at every step of the customer’s journey, from finding solutions to making purchases.
Drawing on Decades of Industry Experience
Drawing on decades of industry experience, including leadership roles at advertising companies DoubleClick and FreeWheel, Heller explains Firsthand’s vision of AI as a new medium rather than just a technology.
Use Cases for Generative AI in Retail
AI agents are enabling companies in the retail and consumer-packaged goods (CPG) industries to increase internal efficiency and productivity while improving customer service. Two of the top use cases for generative AI in retail are: personalized marketing and advertising, and digital shopping assistants or copilots. Learn more about AI’s rapid integration across businesses in NVIDIA’s second annual State of AI in Retail and CPG survey report.
Time Stamps
- 2:10 – How large language models revealed a new approach to digital marketing.
- 12:46 – How Firsthand Brand Agents can use various AI capabilities beyond traditional chat.
- 16:33 – How Firsthand Brand Agents create a connected customer journey by maintaining context across touchpoints.
- 23:57 – The technical challenges in building agents while maintaining brand safety.
- 30:10 – How AI can generate unprecedented insights into consumer needs and preferences.
You Might Also Like…
- Imbue CEO Kanjun Qiu on Transforming AI Agents Into Personal Collaborators
- Media.Monk’s Lewis Smithingham on Enhancing Media and Marketing With AI
- Snowflake’s Baris Gultekin on Unlocking the Value of Data With Large Language Models
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Conclusion
AI agents are transforming the way companies interact with their customers, enabling personalized marketing and advertising, and improving customer service. By leveraging large language models, AI agents can generate unprecedented insights into consumer needs and preferences, turning marketing interactions into valuable customer research data.
Frequently Asked Questions
Q: What is the purpose of AI agents in marketing?
A: AI agents in marketing enable personalized marketing and advertising, improving customer service and generating valuable customer research data.
Q: What are some use cases for generative AI in retail?
A: Personalized marketing and advertising, and digital shopping assistants or copilots are two top use cases for generative AI in retail.
Q: What is the role of large language models in AI agents?
A: Large language models are used to generate unprecedented insights into consumer needs and preferences, turning marketing interactions into valuable customer research data.
Q: How can companies benefit from AI agents?
A: Companies can benefit from AI agents by increasing internal efficiency and productivity, improving customer service, and generating valuable customer research data.
