Understanding your business needs is essential to determine the value a recommendation system can bring. Generally, recommendation engines can boost sales, conversions, and customer engagement across various industries and functions. However, success is not guaranteed, and costs may be high. A detailed planning phase and iterative approach are crucial for predicting costs, income, and break-even points. Our methodology focuses on delivering early value through AI Proof of Concept development, reducing risks, and ensuring practical, data-driven applications.
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