Average Daily Demand (ADD)

Introduction: Average Daily Demand (ADD)

Average Daily Demand (ADD) is a simple but powerful measure used to calculate the average demand for a product or service per day. It is an essential tool in inventory management, production planning, and supply chain forecasting.

Background

Businesses rely on ADD to understand daily consumption patterns and to balance stock levels with customer needs. It supports Lean and Just-in-Time (JIT) practices by helping avoid overproduction or shortages.

Key Elements / Features

Formula:
Average Daily Demand = Total Demand over Period / Number of Days in Period

• Time Frame: Can be calculated for weeks, months, or years depending on the data available.
• Insights: Provides clarity on both normal demand and fluctuations across seasons.

Applications / Examples

• Retail: Shops use ADD to decide how much stock to order daily to avoid empty shelves.
• Manufacturing: Factories align production schedules with ADD to reduce waste and keep efficiency high.
• Logistics: Supply chain managers plan transport schedules and optimise routes based on ADD figures.

Example: If a company sells 3,000 units of a product in 30 days, its Average Daily Demand is 100 units per day. This helps decide reorder points and production rates.

Relevance / Impact

Understanding ADD improves decision-making in purchasing, production, and distribution. It helps businesses forecast accurately, adapt to seasonal trends, and maintain customer satisfaction. By integrating ADD into planning systems, companies can enhance efficiency and reduce costs.

See also

• Demand Forecasting
• Just-in-Time (JIT)
• Inventory Management
• Supply Chain Management