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Retail's AI revolution is entering its third wave. After predictive AI and generative AI, autonomous agents capable of completing shopping tasks without human intervention are emerging as the next frontier. Salesforce's latest industry research reveals that 32% of consumer goods companies have already fully implemented generative AI, with digital commerce as a primary focus area. As the technology evolves from answering questions to taking action, brands and retailers face urgent decisions about how to adapt their digital presence, product content, and media strategies.
The transition from generative AI to agentic AI represents a fundamental shift in capabilities. While chatbots and assistants like Amazon's Rufus can answer questions about products, autonomous agents can complete entire shopping journeys—from discovery to purchase—with minimal human intervention.
According to the joint Salesforce and Accenture ⁘Industry Insights Report: AI Edition,⁘ we're witnessing a clear progression in AI capability.
Michelle Grant, Director of Strategy and Insights for Retail and Consumer Goods at Salesforce, offers a helpful distinction between traditional automation that marketers are likely familiar with and newer AI approaches:
Traditional Automation follows predefined steps, but it's not artificial intelligence nor is it agentic. For example, if someone opens an email, they're automatically added to 'Group A' and, if not, a follow-up email is sent. It doesn't analyze data, make decisions, or learn over time–it's rules-based automation.
Predictive AI (Wave 1) uses historical and statistical data models to predict the future. For example, predictive AI uses machine learning algorithms to analyze a shopper's historical engagement data and predict the best time to send an email.
Generative AI (Wave 2) is used for creating new content using LLMs and data. Examples include summaries, text generators, and image generators based on prompts. While it can produce content, it doesn't independently make decisions or take action.
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