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Demand Forecasting & Supply Chain Management

Demand Forecasting & Supply Chain Management

1 Weeks
Professional Level
Certificate Included
Course Content

Available Events

Available Events
CityDatePriceStatus
AmsterdamNetherlands
September 14, 2026
€4,900
Confirmed date
DubaiUnited Arab Emirates
September 20, 2026
€5,100
Confirmed date
Kuala LumpurMalaysia
September 22, 2026
€4,800
Confirmed date
GenevaSwitzerland
September 23, 2026
€4,900
Confirmed date
LisbonPortugal
October 1, 2026
€4,800
Confirmed date
LondonUnited Kingdom
October 4, 2026
£4,800
Confirmed date
ParisFrance
October 26, 2026
€5,200
Confirmed date
SingaporeSingapore
October 31, 2026
€5,100
Confirmed date
IstanbulTurkey
November 8, 2026
€4,900
Confirmed date
TunisTunis
November 20, 2026
€4,400
Confirmed date

Course Information

Duration

1 Weeks

Category

Supply Chain Management

Level

Professional Level

Certificate

Included

INTRODUCTION

Organizations require dependable demand forecasts to balance customer expectations with operational capacity and available resources. Inaccurate forecasts can create excessive inventory, stock shortages, production delays, wasted capacity, and higher logistics costs. Effective demand forecasting combines historical data, market intelligence, statistical analysis, and professional judgment. This course provides a structured approach to forecasting demand and integrating forecasts into supply chain planning. Participants learn how demand patterns, product characteristics, market conditions, and business strategies influence forecasting decisions. They also examine the relationship between forecasting, procurement, production, inventory, distribution, and financial planning. The program introduces practical tools for improving forecast accuracy and managing uncertainty across multiple planning horizons. Case studies and applied exercises allow participants to evaluate real forecasting challenges and develop suitable responses. The course ultimately supports more coordinated, responsive, and cost-effective supply chain management.

COURSE OBJECTIVES

Participants will achieve the following objectives by this course:

  • Understand the role of demand forecasting within integrated supply chain management.
  • Identify demand patterns, trends, seasonality, variability, and market influences.
  • Apply qualitative and quantitative forecasting methods to different planning situations.
  • Prepare reliable data for forecasting analysis and decision-making.
  • Measure forecast accuracy using appropriate error indicators and performance metrics.
  • Select suitable forecasting models based on product and market characteristics.
  • Integrate demand forecasts with procurement, inventory, production, and logistics planning.
  • Improve collaboration between sales, operations, finance, and supply chain teams.
  • Develop contingency responses for uncertainty, disruptions, and unexpected demand changes.
  • Build practical demand planning processes that support continuous performance improvement.

TARGET AUDIENCE

This program targets a professional audience seeking to improve knowledge and skills:

  • Demand planners responsible for preparing, reviewing, and improving operational and strategic forecasts.
  • Supply chain managers coordinating sourcing, inventory, production, logistics, and customer service activities.
  • Inventory managers balancing product availability, working capital, service levels, and stock risks.
  • Procurement professionals using demand forecasts to plan purchasing quantities and supplier requirements.
  • Production planners aligning manufacturing capacity, schedules, materials, and workforce with expected demand.
  • Sales managers contributing market intelligence, customer expectations, and promotional information.
  • Logistics professionals planning transportation, warehousing, distribution capacity, and delivery resources.
  • Finance professionals supporting budgets, revenue projections, cash flow, and performance analysis.
  • Operations managers responsible for resource utilization, service continuity, and planning efficiency.
  • Professionals preparing for demand planning and supply chain leadership roles.

COURSE OUTLINE

Day 1: Demand Forecasting and Supply Chain Fundamentals

  • Understanding demand forecasting within integrated supply chain planning.
  • Linking forecasts with procurement, production, inventory, and logistics.
  • Identifying strategic, tactical, and operational forecasting horizons.
  • Recognizing independent and dependent demand characteristics.
  • Understanding demand patterns, trends, cycles, and seasonality.
  • Examining internal and external drivers of customer demand.
  • Assessing forecasting maturity across organizational functions.
  • Defining responsibilities within the demand planning process.
  • Establishing forecasting objectives and performance expectations.

Day 2: Data Preparation and Demand Analysis

  • Identifying reliable internal and external demand data sources.
  • Cleaning historical data and correcting unusual observations.
  • Managing missing values, outliers, promotions, and exceptional events.
  • Segmenting products using demand volume and variability.
  • Analyzing historical sales patterns and customer behavior.
  • Distinguishing baseline demand from promotional demand.
  • Visualizing trends, seasonality, and demand fluctuations.
  • Evaluating data quality before selecting forecasting models.
  • Preparing structured datasets for accurate forecasting analysis.

Day 3: Qualitative and Quantitative Forecasting Methods

  • Applying expert judgment and market research techniques.
  • Using sales force estimates and customer intelligence.
  • Calculating moving averages and weighted moving averages.
  • Applying exponential smoothing for short-term forecasts.
  • Using trend projection and seasonal adjustment methods.
  • Understanding causal forecasting and regression principles.
  • Selecting models according to demand characteristics.
  • Comparing forecasts generated by alternative methods.
  • Combining statistical forecasts with managerial judgment.

Day 4: Forecast Accuracy and Integrated Planning

  • Measuring forecast error using standard accuracy indicators.
  • Interpreting bias, deviation, and percentage error measures.
  • Establishing forecast accuracy targets by product category.
  • Conducting root-cause analysis for forecasting errors.
  • Improving collaboration between sales and operations teams.
  • Integrating forecasts into inventory and replenishment planning.
  • Aligning production capacity with expected demand levels.
  • Managing forecast changes through structured review meetings.
  • Developing consensus forecasts across organizational functions.

Day 5: Uncertainty, Technology, and Performance Improvement

  • Managing demand uncertainty and unexpected market changes.
  • Developing scenario forecasts for alternative business conditions.
  • Planning responses to disruptions and supply constraints.
  • Applying safety stock concepts to forecast variability.
  • Using digital tools for demand planning and analytics.
  • Exploring automation and predictive forecasting capabilities.
  • Designing demand planning dashboards and reports.
  • Establishing continuous forecast improvement processes.
  • Creating an actionable demand forecasting improvement plan.

COURSE DURATION

Duration: 1 Weeks

This intensive program is delivered over five consecutive training days through expert presentations, practical forecasting exercises, data analysis activities, case studies, group discussions, planning simulations, accuracy measurement tasks, and applied workshops designed to connect demand forecasting methods with real supply chain management decisions.

INSTRUCTOR INFORMATION

The course is delivered by an internationally certified expert with extensive practical and consulting experience in demand forecasting, supply chain planning, inventory optimization, procurement, production planning, logistics, data analysis, and organizational performance improvement across complex corporate and industrial environments.

FREQUENTLY ASKED QUESTIONS

No, forecasting methods are explained through clear concepts and practical applications.

CONCLUSION

Effective demand forecasting enables organizations to improve availability, control costs, and respond more accurately to market requirements. This course provides participants with practical methods for analyzing demand, selecting forecasting models, and measuring accuracy. It strengthens coordination between forecasting, inventory, procurement, production, logistics, and financial planning. Participants gain the skills needed to manage uncertainty and convert demand information into reliable supply chain decisions. The program ultimately supports responsive, efficient, and customer-focused supply chain performance.

Demand Forecasting & Supply Chain Management

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