Learn how to use AI applications such as lead scoring, opportunity forecasting, and case classification to enhance your sales processes and customer relationships, and how they can benefit your business.
Table of Contents
Question
A business analyst (BA) wants to improve business by enhancing their sales processes and customer. Which AI application should the BA use to meet their needs?
A. Sales data cleansing and customer support data governance
B. Machine learning models and chatbot predictions
C. Lead scoring, opportunity forecasting, and case classification
Answer
C. Lead scoring, opportunity forecasting, and case classification
Explanation
The correct answer is C. Lead scoring, opportunity forecasting, and case classification. These are three AI applications that can help a business analyst improve their sales processes and customer relationships.
Lead scoring is the process of assigning a numerical value to each lead based on their likelihood to convert into a customer. Lead scoring can help sales teams prioritize and target the most qualified and profitable leads, and optimize their sales strategies.
Opportunity forecasting is the process of predicting the probability and revenue of each sales opportunity based on various factors, such as the lead score, the sales stage, the customer behavior, and the market conditions. Opportunity forecasting can help sales teams manage their pipeline, allocate their resources, and achieve their goals.
Case classification is the process of automatically assigning the right case type, priority, and reason to each customer service request based on the customer input. Case classification can help service teams streamline their workflows, route the cases to the best agents, and resolve the issues faster and more efficiently.
Lead scoring, opportunity forecasting, and case classification are AI applications that can help a business analyst improve their sales processes and customer support. Lead scoring can help prioritize leads based on their likelihood to convert, opportunity forecasting can help predict future sales or revenue based on historical data and trends, and case classification can help categorize and route cases based on their attributes.
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