Demand management is the process of forecasting, planning for, and managing customer demand so businesses can align inventory and resources with expected needs. Effective demand management helps organizations balance product availability with operational efficiency, reducing the risks of excess inventory, stockouts, and wasted resources
What is Demand Management?
Demand management is the process of understanding, forecasting, and influencing demand for products or services so an organization can align its resources with expected needs. It combines demand forecasting, planning, and ongoing analysis to help businesses anticipate changes, allocate resources effectively, and balance demand with available capacity
For example, a pharmaceutical company manufacturing flu vaccinations expects an uptick in demand in September and October as medical professionals recommend them to patients. If you run this company, you can plan your manufacturing and distribution schedules around this demand spike to meet customer demand without carrying excess inventory.
Demand management brings together several interconnected functions that help organizations understand demand, prepare resources, and respond as needs change. Core components can include:
- Demand Forecasting: Uses historical data, market trends, customer behavior, and other demand signals to estimate future demand
- Demand Planning: Is a process for predicting how much inventory you thing customers will want based on data, trends, and forecasting.
- Demand Shaping: Is a strategy to attract more customer interest in your products and involves sales and marketing.
- Capacity Management: Is the process of making sure you have the resources available to meet demand, including your manufacturing team, warehouse staff, logistics vendors, etc.
- Inventory Control: Maintains appropriate inventory levels to meet demand while limiting excess stock, shortages, and carrying costs
- Supply and Demand Coordination: Connects demand insights with procurement, production, inventory, distribution, sales, and other teams so plans remain aligned as conditions change
Although you have no control over your customers, you can use demand management to influence their behavior when your resources are stretched thin. For example, if you’re seeing an unexpected spike in demand and don’t have the inventory to meet these needs, you might limit customer purchases or raise prices to dissuade some people from buying.
What Are the Goals of Demand Management?
The goal of demand management is to align available resources with customer demand while controlling costs, maintaining product availability, and responding to changes in the market. Effective demand management can improve several areas of supply chain performance:
- Improved Customer Satisfaction: Having products available for fast order fulfillment can improve customer satisfaction and inspire brand loyalty. You gain customer trust and become a reliable vendor.
- Optimized Inventory Management: Managing demand helps you maintain ideal inventory levels for fulfilling customer orders without paying to store or return excess product. You also reduce the risk of stockouts, which may drive customers to your competitors. Track inventory management KPIs to inform your demand management strategy.
- Improved Supply Chain Visibility: Accurate, timely data across inventory and operations gives teams a clearer view of available resources and helps them make more informed demand decisions
- Increased Forecast Accuracy: Analyzing real-time data with forecasting methods such as predictive analysis makes your predictions more accurate.
- Increased Profitability: Demand management helps you cut operational costs by enhancing efficiency. It also reduces markdowns and other costs associated with mismanaged inventory.
- Greater Agility: Demand management helps you anticipate and plan for market changes and demand fluctuations.
What Is the Demand Management Process?
The demand management process typically involves modeling demand, forecasting future needs, planning demand and supply, and executing those plans using current operational data. Together, these steps help businesses translate demand signals into inventory, production, procurement, and distribution decisions.
1. Demand Modeling
Start your demand management strategy by assessing historical sales and other data, market trends, and customer behavior information to identify demand patterns. Use relevant historical, market, and customer data to identify recurring patterns, seasonal changes, and unusual demand fluctuations.
For example, assessing the past 12 months of historical data might show you seasonal patterns. Using data from the past 5 years will let you identify seasonal trends versus one-time demand anomalies.
Incorporate industry data into your modeling efforts. Understanding competitor performance, emerging trends, and industry signals will help you identify factors that might impact demand. For example, if a state governor starts offering tax incentives for electric cars, demand could rise unexpectedly.
2. Demand Forecasting
Use different forecasting models, including statistical analysis and predictive analytics, to estimate future customer demand. With all the AI-powered demand planning and forecasting software on the market, you’re not stuck doing this manually through spreadsheets.
The importance of forecasting in supply chain management becomes clear when you’re using these insights to plan your operations.
3. Demand Planning
Demand planning turns forecasts into actionable decisions about inventory, production, staffing, and other resources needed to meet expected customer demand. With your models and demand forecasts in hand, start organizing your production and delivery resources around expected customer needs.
For example, you might run special sales and promotions to increase demand during expected times of low demand. You would likely increase manufacturing personnel and hours ahead of a high-demand period.
4. Supply Planning
Supply planning determines how inventory, production capacity, procurement, and other resources will support forecasted demand. Coordinate with supply chain partners so you have the right resources available all year. Use your forecasts to tailor procurement strategies, production schedules, and inventory levels around expected demand.
Identify potential supply chain risks and disruptions at this stage and make contingency plans. For example, the pharmaceutical company manufacturing flu shots knows that peak demand often coincides with hurricane season. If you were the operations manager, you would want a Plan B in place in case a vendor were shut down by a hurricane.
5. Execution
This is the stage in which you implement your plans from ordering raw materials to filling orders. But the planning doesn’t stop here. During execution, warehouse management systems, IoT-enabled tracking, and other supply chain technologies can provide real-time data on inventory and operations.
Use forecast accuracy metrics to compare actual supply and demand to your estimates. This will help you see where you need to change your demand management process so you can improve your accuracy in the future.
Demand management is an ongoing cycle, so actual performance data should feed back into future modeling and forecasts to continually improve planning accuracy.
Improve Demand Management With More Accurate Supply Chain Data
The global shift in the business landscape is great for company owners and customers, but it has made supply chain management much more complex. Demand management in supply chain operations helps you tailor your resources to meet customer demand without stressing your operations.
Instead of trying to stretch your resources thin to meet demand spikes, you can plan ahead. Surgere’s powerful demand planning software offers 99.9% data accuracy on your inventory, sales, and supply-chain data. These powerful insights will give you more realistic models and forecasts to better manage demand throughout the year.
Contact us today to learn more.
