AI-Driven Sales Forecasting and Market Analysis
AI in Sales:From Predictive Forecasting to Customer Insights, Lead Scoring and Market Trends Analysis for Dynamic Growth
4.31 (8 reviews)
610
students
5.5 hours
content
Nov 2024
last update
$44.99
regular price
What you will learn
Recall the foundational concepts of sales forecasting by listing its key components.
Explain the role of AI in enhancing sales prediction accuracy during a classroom discussion.
Apply machine learning techniques to improve data-driven sales decisions in a simulated project.
Integrate AI tools into existing sales processes through a step-by-step guided activity.
Analyze case studies on AI in sales forecasting to identify factors that led to success or failure.
Understand customer data by categorizing it into meaningful segments using AI tools.
Use AI for customer segmentation in a practical exercise by creating distinct customer profiles.
Employ predictive analytics methods to conduct behavioral analysis of customers in a case study.
Develop personalization strategies using AI by designing a personalized marketing campaign.
Evaluate real-life examples of AI-enhanced customer behavior analysis to determine effectiveness.
Analyze market trends using AI-powered tools and present findings in a class presentation.
Compare AI algorithms for sales forecasting by their accuracy and applicability in different industries.
Enhance sales prediction models with AI by integrating new data sources in a workshop.
Construct a sales performance dashboard using AI-powered sales dashboards in a hands-on lab.
Prioritize leads using an AI model for lead scoring in a simulated sales environment.
Design dynamic pricing strategies with AI for a hypothetical product launch.
Improve sales forecast accuracy by applying predictive forecasting techniques in a group project.
Implement AI-enhanced customer relationship management (CRM) strategies in a role-play exercise.
Predict customer buying patterns using AI in a practical analysis exercise.
Optimize a sales team's performance by applying AI metrics and insights in a case study analysis.
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udemy ID
10/29/2024
course created date
11/13/2024
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