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Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. Consolidated data grants a comprehensive view of customer history and lifecycle, facilitating personalized cross-sell offers anticipating evolving needs to drive loyalty.
Personalization has become a cornerstone of delivering tangible benefits to businesses and their customers. We present our solution through a fictional consulting company, OneCompany Consulting, using automatically generated personalized website content for accelerating business client onboarding for their consultancy service.
Solution overview To demonstrate the orchestrated workflow, we use the publicly available UCI Adult 1994 Census Income dataset to predict if a person has an annual income of greater than $50,000 per year. This is a binary classification problem; the options for the income target variable are either over $50,000 or under $50,000.
By implementing a proactive security monitoring and alerting system, users can receive personalized notifications in preferred channels like email, SMS, or push notifications. The Lambda function calls Anthropic’s Claude 3 Sonnet model through Amazon Bedrock APIs with the input request.
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