What are main demand forecasting techniques?

📈 Demand Forecasting

Demand forecasting is the process of estimating future demand for a product or service based on historical data, trends, and market intelligence. It helps in production planning, budgeting, and minimizing inventory costs.

---

✅ 8 Important Demand Forecasting Techniques

1. Statistical Methods

• Trend Projection: Uses past sales data to predict future demand (e.g., linear trends).

• Regression Analysis: Examines relationships between variables (e.g., price vs. sales).

2. Market Research or Survey Method

• Collects direct consumer data using surveys.

• Types: Sample survey, complete enumeration, and end-use survey.

3. Sales Force Composite Method

• Estimates are taken from sales representatives in different territories.

• Good for short-term and region-specific forecasts.

4. Expert Opinion Method

• Specialists or consultants predict demand using experience and industry knowledge.

• Useful in new product launches or uncertain environments.

5. Delphi Method

• Structured interaction with a panel of experts through multiple rounds of questionnaires.

• Final forecast is a refined consensus.

6. Barometric Method (Indicator Approach)

• Uses economic indicators:

  • Leading indicators (predict future trends),

  • Lagging indicators (confirm past trends),

  • Coincidental indicators (current status).

7. Econometric Method

• Uses economic theories and mathematical models.

• Suitable for complex relationships involving multiple variables.

8. A/B Testing (Market Experimentation)

• Compares two or more marketing strategies or product options.

• Helps identify customer preferences through controlled experiments.