Description

This course covers how Artificial Intelligence (AI) can be used to improve sales forecasting and predict market trends. Participants will learn the foundational AI models and techniques for analyzing sales data, predicting demand, and identifying future trends.

Course Objectives

Through real-world applications, they’ll understand how AI can drive accurate forecasts and strategic planning to optimize revenue and inventory management.

Target Audience

Sales and marketing managers

Business analysts and financial planners

Product managers focused on demand planning and forecasting

Business leaders interested in leveraging AI for data-driven decision-making

Basic Understanding

Basic understanding of sales and marketing operations

Familiarity with data analysis concepts is helpful but not required

Course Content

No sessions available.

Simpliv Logo
Simpliv LLC
39658 Mission Boulevard,
Fremont, CA 94539, USA

Sales Forecasting and Trend Prediction with AI

Session 1: Introduction to AI in Sales Forecasting

  1. Overview of AI and Its Role in Forecasting
  2. Key Concepts: Machine Learning, Time Series Analysis, and Predictive Analytics
  3. Business Value of AI-Driven Sales Forecasting
  4. Case Studies: AI Applications in Sales Forecasting

Session 2: Core AI Techniques for Forecasting and Trend Prediction

  1. Machine Learning Models for Sales Prediction (Linear Regression, Decision Trees, etc.)
  2. Time Series Models: ARIMA, Exponential Smoothing, and LSTM (Long Short-Term Memory)
  3. Feature Engineering for Sales Data
  4. Using AI for Seasonal and Cyclical Trend Analysis

Session 3: Building and Interpreting AI Forecasting Models

  1. Setting Up Forecasting Models with Real-World Sales Data
  2. Training and Testing AI Models for Accuracy
  3. Understanding AI Model Outputs: Predictions and Confidence Intervals
  4. Interactive Exercise: Model Interpretation and Adjustment

Session 4: Practical Applications of AI in Sales Forecasting

  1. Inventory Management: Aligning Supply with Demand Forecasts
  2. Pricing Strategies and Dynamic Pricing Models
  3. Market Trend Analysis: Predicting Emerging Trends
  4. Case Study: Optimizing Revenue with AI Forecasting

Session 5: Ethical and Operational Considerations

  1. Data Privacy and Compliance in Sales Forecasting
  2. Mitigating Bias in Predictive Models
  3. Operationalizing AI in Forecasting Processes
  4. Building Trust and Transparency with AI Predictions

Session 6: Future Trends in AI for Forecasting

  1. Emerging AI Techniques: Reinforcement Learning, AutoML
  2. The Role of Big Data and Real-Time Forecasting
  3. Future Skills and Tools for AI in Sales Forecasting
  4. Q&A and Interactive Discussion

Coupons

No offers available at this time.

Live Support

Call

+510-849-6155

Mail to

support@simplivlearning.com

Similar Courses

Our Trusted Clients