E-COMMERCE 2.0: OUTCOME-BASED PERSONALIZED SHOPPING WITH GENERATIVE AI. The generative AI in e-commerce market is forecasted to grow to about USD 2.1 billion by 2032 from USD 529.5 million in 2022, with an expected 14.9% compound annual growth rate (CAGR) from 2023 to 2032. Key takeaways: - Replacing traditional search engines: Find out how the rapid advancement of natural language processing and pre-trained #AI models will allow companies to launch intuitive and responsive chat interfaces. - Executing #GenAI use cases today: Explore some of the practical ways leading e-commerce brands are using this technology to personalize the experience, generate dynamic promotions, create content, and improve operational efficiency. - Deciding when to use GenAI: Learn more about the strengths and limitations of GenAI and how to refine solutions to enable a gradual, harmonious transition to new soon-to-be e-commerce standards. - Defining the broader technology ecosystem: Create a tech stack that can amplify the power of GenAI and fill the gap when it falls short. Read more here: https://bit.ly/4bk0kSH #capgemini #getthefutureyouwant
The advent of generative AI is a breakthrough for #eCommerce, offering unprecedented opportunities. The question arises: How can established companies make this leap? With decades of operations and technologies already in place, the thought of an overhaul might seem daunting. The key? Strategic, incremental integration of AI, ensuring your business evolves without leaving your core operations behind. Let's embrace this journey together, transforming challenges into opportunities. To learn how, download our paper “E-commerce 2.0: Outcome-based personalized shopping with generative AI“: https://bit.ly/4bk0kSH #GenAI #ShoppingExperience #CustomerFirst #CustomerExperience Chris Harrison Naresh Khanduri
