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Next Best Offer

Next Best Offer

Problem/Challenge – Sending multiple or irrelevant product offers to a customer can make the customers inundated. Most of the time the emails or messages are generic or consist of products or offers which don’t meet the customer’s needs. Marketers need a way to determine when and how to contact customers so that they avoid spamming and improve product offerings.

Resolution – Machine learning algorithms can be utilized by marketers so that they can determine which customers are likely to be interested in current offers and only those customers will receive them. With machine learning models marketers can identify patterns based on demographics, household data, past purchase behavior of the customers. An AI based recommendation tool can help increase customer satisfaction, higher brand value, and therein result in more sales.

Why CafeBot – CafeBot’s aim is to leverage AI in accurately predicting customer’s product of interest, it will automatically engineer and identify the individual reasons for why each customer has interest in that product or offer. It empowers data science teams to scale by dramatically increasing the speed to develop highly accurate predictive models with lesser number of resources. CafeBot includes innovative features including data ingestion from different data sources, data blending, data visualization, automatic machine learning and deep learning, model deployment and predictions, and interpreting the machine learning model built.