Customer Digital Twins (CDTs) are fast replacing static segmentation in retail and CPG with privacy-first, real-time customer models that let you simulate behavior, test campaigns, and predict outcomes at the individual level. Read the blog to know more about how to build and scale CDTs responsibly, balancing personalization with trust.
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AI agents are changing how organizations manage compliance and forecasting by automating data orchestration and decision-making. In retail banking, agents help streamline regulatory reporting, reducing manual effort and ensuring real-time compliance. For retailers, AI-driven demand forecasting leverages external data to optimize inventory and respond dynamically to market shifts. Explore how Agentic AI platforms like Agentspace enable organizations to scale smarter, reduce risk, and drive measurable outcomes.
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The beauty industry is leveraging AI and machine learning to transform how brands understand and serve customers. This blog explores how Customer Product Affinity Embedding is revolutionizing personalized shopping experiences by mapping customer preferences to product characteristics. By integrating data from multiple touchpoints — purchase history, social media, and more — this approach enables hyper-personalized recommendations, smart substitutions, and targeted campaigns.
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Uncover how enterprises are navigating the transformative post-GenAI landscape catalyzed by ChatGPT’s disruption. Gain insights into the popular use cases enhancing employee productivity and customer experiences across industries. Explore emerging approaches like open-source model customization and trends like “Bring Your Own AI” adoption.
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