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Master Course in Sales Forecasting and Sales Management 2.0
Rating: 4.0 out of 5(84 ratings)
13,317 students

Master Course in Sales Forecasting and Sales Management 2.0

Forecasting, Sales forecasting, Forecasting model, Time Series Analysis, B2B sales, Sales management, Sales skills
Created byDr. José Prabhu J
Last updated 7/2025
English
English [Auto],

What you'll learn

  • Explain the significance of sales forecasting and its role in modern sales management.
  • Develop accurate sales forecasts tailored to specific business needs and objectives.
  • Compare and apply various types, techniques, and methods of sales forecasting in sales management.
  • Utilize machine learning tools to enhance the accuracy of sales forecasting.
  • Analyze the relationship between sales management and distribution strategies to improve performance.
  • Conduct market analysis to determine optimal pricing strategies.
  • Perform cost analysis to ensure profitability and competitive pricing.
  • Implement and optimize pricing strategies using data-driven decision-making techniques.
  • Apply data analytics to improve sales forecasting and pricing decisions.

Course content

2 sections • 9 lectures • 1h 49m total length

  • Introduction and importance of sales forecasting and sales management 2.014:56

    Learn how to forecast future sales to align production, targets, and budgets, and explore forecasting methods and the role of sales management in coordinating the sales force.

  • How to build a sales forecast for your business9:12

    Align your sales process with the buyer’s journey, define stage-specific milestones, train teams, and use data-driven metrics—win rates, cycle times, annual bookings, and average contract value—to forecast credibly.

  • Types, techniques and methods of sales forecasting in sales management8:54

    Identify short-term and long-term sales forecasting types and their use in production planning, inventory, and financing, while applying techniques like buyer intentions, expert opinions, market tests, and time-series analysis.

  • Sales forecasting using machine learning16:18

    Explore how machine learning enhances sales forecasting by combining time series and regression methods, leveraging internal and external data, seasonality, and what-if analyses to improve inventory and cash flow planning.

  • Sales management in sales and distribution management9:37

    Explore sales management and sales and distribution management, including revenue generation, pricing, and building customer relationships through channels like direct selling, e-commerce, B2B, and door-to-door.

  • Market Analysis for Pricing15:41

    Master market analysis for pricing by evaluating consumer insights, competitor strategies, and market trends to set value-based and dynamic pricing that maximizes profitability.

  • Cost Analysis and Pricing14:35

    Analyze fixed and variable costs to guide pricing aligned with market demand and perceived value. Leverage break even analysis and profit margin strategies to maximize profitability.

  • Pricing Strategy Implementation and Optimization10:28

    Master the implementation and optimization of pricing strategies through market research, value proposition alignment, pricing models, dynamic pricing strategies, and ongoing monitoring to drive profitability.

Requirements

  • No programming experience needed. You will learn everuthing you need to know
  • Basic sales skills and understading the concepts of sales management team.

Description

Master Course in Sales Forecasting and Sales Management 2.0

Welcome to the Master Course in Sales Forecasting and Sales Management 2.0! In this comprehensive course, participants will gain a deep understanding of the fundamental principles, advanced techniques, and cutting-edge methods essential for effective sales forecasting and sales management in the dynamic business landscape.

1. Introduction and Importance of Sales Forecasting and Sales Management 2.0: This module provides an overview of the significance of sales forecasting and sales management in the success of any business. Participants will explore the evolving landscape of sales management in the digital age and understand how accurate forecasting contributes to strategic decision-making.

2. How to Build a Sales Forecast for Your Business: Learn the step-by-step process of creating a robust sales forecast tailored to your business needs. This module covers data collection, analysis, and interpretation, helping participants develop the skills needed to make informed predictions about future sales trends.

3. Types, Techniques, and Methods of Sales Forecasting in Sales Management: Delve into the various types of sales forecasting, including qualitative and quantitative methods. Understand the significance of different techniques such as time series analysis, regression analysis, and market research. Participants will gain hands-on experience in applying these methods to real-world scenarios.

4. Sales Forecasting Using Machine Learning: Explore the intersection of technology and sales forecasting. This module introduces participants to machine learning applications in sales forecasting, providing insights into predictive modeling, algorithm selection, and the integration of AI tools. Participants will gain practical skills in implementing machine learning for accurate and efficient sales predictions.

5. Sales Management in Sales and Distribution Management: Understand the intricacies of sales management within the broader context of distribution. Explore strategies for effective sales team management, channel optimization, and the integration of technology in sales and distribution networks. This module equips participants with the skills needed to navigate the complexities of modern sales environments.

Join us in the Master Course in Sales Forecasting and Sales Management 2.0 to elevate your skills, stay ahead of industry trends, and become a proficient leader in sales forecasting and management. Whether you are a business owner, sales professional, or aspiring entrepreneur, this course provides the knowledge and tools necessary for success in today's competitive market !

This master course will cover 5 major topics:

1. Introduction and importance of sales forecasting and sales management 2.0

2. How to build a sales forecast for your business

3. Types, techniques and methods of sales forecasting in sales management

4. Sales forecasting using machine learning

5. Sales management in sales and distribution management

6. Market Analysis for Pricing

7. Cost Analysis and Pricing

8. Pricing Strategy Implementation and Optimization

Additional Lecture 2025

1. Leveraging Data Analytics for Sales and Pricing Decisions

Enroll now and learn today !

Who this course is for:

  • All UG and PG business and marketing students, Sales Organizations, Sales Executives, Marketing Executives, Business Directors, Owners and Interested learners to learn about sales foreacasting and Sales management.

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