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Generative AI For Retail & E-Commerce

SambaNova Suite Advances Personalized Experiences That Delight Customers

Leverage AI to Improve the Customer Journey

The pandemic accelerated the growth of online shopping, leaving retailers scrambling to improve their online experiences and shore up their digital transformation efforts. At the same time, customer expectations have never been higher, with 91% of consumers more likely to shop with brands who recognize, remember, and provide relevant offers and recommendations.1

E-commerce giants are widening their lead in digital acceleration, leaving the rest of the market to make a choice—innovate or become irrelevant. To differentiate and stay competitive, retailers must lean into rapidly advancing AI technologies to better understand their customers and provide them a more personalized and satisfying buyer’s journey.

Strengthen Customer Relationships With Your Brand

Developing and deploying state-of-the-art recommendation and language services can be complex, expensive, and beyond the reach of many retail organizations—until now. SambaNova Suite augments the AI expertise of retailers of all sizes by providing a comprehensive platform, services, and models that enable you to develop and deploy state-of-the-art AI solutions without the time and expense of building complex AI architectures and hiring teams of machine learning experts.

Use Cases Use Cases
Natural language-driven services—such as search, sentiment analysis, listing generation, content monitoring, voice interactions, and chat—are crucial to enhancing the customer journey. Deep understanding at scale requires building, training, and tuning these complex models efficiently and cost-effectively.
A complete omnichannel customer approach brings valuable new insights but also creates a surge in new data to analyze. Conventional technologies struggle to consume this data and require organizations to decide which signals to use or ignore, compromising the accuracy of recommendations. Alternatively, building recommendation systems with complete omnichannel data and your unique offer catalog will improve shopper satisfaction and increase revenue.
  • Use Cases

  • Retail—Customer-Experiences
    Natural language-driven services—such as search, sentiment analysis, listing generation, content monitoring, voice interactions, and chat—are crucial to enhancing the customer journey. Deep understanding at scale requires building, training, and tuning these complex models efficiently and cost-effectively.
  • High-Impact Personalization
    Natural language-driven services—such as search, sentiment analysis, listing generation, content monitoring, voice interactions, and chat—are crucial to enhancing the customer journey. Deep understanding at scale requires building, training, and tuning these complex models efficiently and cost-effectively.

Learn how SambaNova can help your company leverage AI to deliver personalized, meaningful customer experiences.