Learn how AI enhances CRM with predictive scoring, forecasting, and recommendations with this guide. Find out what these examples are, how they work, and what benefits they offer.
Table of Contents
Question
What are the three commonly used examples of AI in CRM?
A. Predictive scoring, reporting, Image classification
B. Predictive scoring, forecasting, recommendations
C. Einstein Bots, face recognition, recommendations
Answer
B. Predictive scoring, forecasting, recommendations
Explanation
The correct answer is B. Predictive scoring, forecasting, recommendations. These are three commonly used examples of AI in CRM, as they can help to improve sales performance and customer satisfaction. Here is a brief explanation of each example:
- Predictive scoring: Predictive scoring is the use of AI to assign a numerical score to each lead or opportunity based on their likelihood of conversion or closing. Predictive scoring can help to prioritize the most promising leads or opportunities, optimize the sales funnel, and increase the sales efficiency and effectiveness.
- Forecasting: Forecasting is the use of AI to project the future sales revenue or demand based on historical data and current trends. Forecasting can help to set realistic and attainable sales goals, plan and allocate resources, and identify and mitigate risks.
- Recommendations: Recommendations are the use of AI to suggest the best actions, products, or services for each customer or prospect based on their preferences, behavior, and needs. Recommendations can help to personalize the customer experience, increase customer engagement and loyalty, and cross-sell or upsell products or services.
Predictive scoring, forecasting, and recommendations are three commonly used examples of AI in CRM. Predictive scoring can help prioritize leads, opportunities, and customers based on their likelihood to convert, churn, or buy. Forecasting can help predict future sales, revenue, or demand based on historical data and trends. Recommendations can help suggest the best products, services, or actions for each customer based on their preferences, behavior, and needs.
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