Blog Tags: Retail
Leveraging Customer Digital Twins to Drive Hyper-Personalization: A Strategic Roadmap for Retail and CPG Leaders
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 in Beauty: Decoding Customer Preferences with the Power of Affinity Embeddings
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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Beyond Bargains: 7 Powerful Ways Retail Leaders Can Use Generative AI to Level Up Their Retail Value Cycle
From elevating their retail strategy by maintaining uniform product descriptions, enhancing customer support with autonomous agents , developing virtual shopping assistants, simulating precise inventory data, tailoring personalized promotions, and more. Here’s how Retail players can leverage Generative AI all year round, for a higher return on investment.
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Harnessing own Retail’s Ring of Power with GCP
Since most retail organizations already have a recommender engine of some sort, why aren’t all of them able to harness it effectively to derive powerful customer insights? Read how we built a 360-degree Customer View in GCP to solve this issue for our client.
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From Awareness to Action: Private Equity’s Quest for Data-Driven Growth
Data analytics is crucial for Private Equity (PE) firms to navigate a diverse client portfolio and complex data. Despite challenges such as data overflow and outdated strategies, a data-driven approach enables better decision-making, transparent valuation, and optimized investment opportunities, ensuring competitiveness in a dynamic market.
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