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Your client operates a rapidly expanding e-commerce platform specializing in commercial spare parts for cars, with a strong focus on competitive pricing. Initially targeting the small car sector, the platform is now diversifying its product range to include parts for larger vehicles and electric cars. With 80% of its operations in the B2B market, the client's primary objective is to swiftly and profitably encourage customers to explore and adopt the new products being added. The client is particularly interested in leveraging Google Cloud Platform (GCP) services to achieve this goal. Considering the need for scalability, cost-effectiveness, and the ability to personalize recommendations based on customer behavior and preferences, which GCP service would be most beneficial for this purpose? Choose the best option.
A
Import the Product Catalog: Essential for setting up the platform but does not directly contribute to encouraging product adoption.
B
Record / Import User Events: Useful for tracking customer interactions but lacks the capability to generate personalized recommendations.
C
Use Recommendations AI: Specifically designed to assist businesses in personalizing product recommendations for their users by leveraging machine learning, analyzing customer behavior and preferences to suggest relevant products.
D
Create a TensorFlow model using Matrix factorization: Although feasible for building recommendation systems, it requires more effort and expertise compared to the ready-to-use Recommendations AI service.