Demand planning- An effective supply chain management process that can help you meet your audience’s demands while keeping costs down. Supply chain management and inventory management are challenges for business, and Gartner estimates 70% of businesses struggle to anticipate and react to demand.
Implementing a demand plan can help you anticipate customer demand levels and adjust your inventory and logistics accordingly. There are several benefits to adopting demand planning, including ensuring that products are available where and when customers need them, reducing costs linked to inventory management and surplus, and scheduling labor more effectively.
There are a few key elements you will need to implement a demand planning process:
- Data. Relying on historical and real-time data will help you gain insight into behaviors from your customers.
- Market intelligence. Studying broader market trends is crucial for anticipating shifts in demand.
- Enterprise Resource Planning software. An ERP tool is a central platform you can use to oversee operations, including supply chain management, inventory, accounting, purchasing, and more.
- Inventory management process. Adopting a new process to manage your inventory will help you leverage insights from your data and market intelligence.
- Monitoring. It’s important to monitor the performance of your demand planning and forecasting efforts so you can implement continuous improvement.
Analytics for Optimized Demand Planning
The global supply chain logistics market will grow at a rate of 6.7% between 2019 and 2023. The need to manage your supply chain more effectively increases as more businesses find themselves faced with a more complex environment. The current trend is for organizations to work with many suppliers and distributors on a global scale, which results in a more complex supply chain.
Analytics become an invaluable tool that can mine data from this complex supply chain, identify bottlenecks, and help you predict future demand.
You can optimize demand planning by adopting real-time analytics to monitor demand and be more reactive, and to identify the factors that will influence demand in the future.
The Four Pillars of Demand Planning and Forecasting
Before going any further, it’s important to discuss the difference between demand planning and demand forecasting.
Demand forecasting is about predicting what customer demand will be like at a future date. Demand forecasting typically uses data with techniques like historical sales data analysis or market research.
Demand planning is a process that leverages the outcome of demand forecasting efforts to implement a demand plan. The purpose of demand planning is to ensure inventory and distribution can meet future demand levels. Successful demand planners use inventory management, acquisition, logistics, and more to prepare for fluctuating demand levels.
First Pillar: The Demand Planning Process
The demand planning process should span the entire supply chain. A comprehensive demand chain planning process should include managing relations with different suppliers and distributors, signing contracts with new supply chain partners, adjusting quantities of goods the business purchases, and determining where to store inventory.
Demand planning might also encompass deciding what the business does internally and which processes it will outsource. Demand planners are also responsible for identifying and resolving problems like gaps in fulfilling demand, surplus, or risks of supply chain disruption.
Second Pillar: Demand Forecasting
Demand forecasting is the process of predicting how demand will evolve in the future. The more accurate forecast is, the more cost-effective your demand planning process can be.
There are some challenges to consider when implementing a sales forecast project. The first obstacle is data. You need quality historical data from the right sources to gain an accurate insight into trends.
Because demand forecasting relies on assumptions about how consumers will behave in the future, it’s essential to verify these assumptions. If you can’t verify an assumption, it’s wise to give it less weight when you implement a demand plan.
There are also factors that are difficult to predict. In 2020, many businesses saw their supply chain disrupted because of COVID-19, along with some drastic changes in consumer behaviors and demand for certain products or services.
Let’s take the example of a small restaurant to better understand how you can apply demand forecasting on a day-to-day basis. The food industry can see fluctuations in demand based on factors like the weather, local events, and traffic.
Looking at weather forecasts can help a restaurant owner predict sales volumes, as well as which menu items will be in demand. The restaurant owner would then adjust procurement to reflect these predictions, roll out new specials or adjust pricing, and schedule more staff members when they expect demand to increase.
Different Types of Demand Forecasting Strategies
- Delphi method. This method relies on industry experts who make predictions based on their experience and expertise.
- Conjoint analysis. This approach focuses on the features of a product. There is an assumption that customers make trade-offs and will select the product that has the most features they want. Conjoint analysis predicts demand based on in-demand features and other product offerings available to customers.
- Time series. A time series analysis looks at historical data, including sales volumes. It’s a popular option for identifying seasonal shifts in demand.
- Surveys. You can use surveys to keep track of purchasing intent.
These methods include a mix of qualitative and quantitative analysis. It’s best to use a mix of both to get a more comprehensive picture.
Regardless of the demand forecasting method you choose to use, there are two possible approaches:
- Top-down. A top-down approach starts with the big picture. You could, for instance, begin your analysis with market data and predict shifts in customer demand based on how many market shares your business has.
- Bottoms-up. A bottoms-up approach begins with internal data like sales volume for your different channels or traffic for your website.
Third Pillar: Preparing for the Future
Demand planning and forecasting are evolving at a fast pace. There are new possibilities to explore for operations planning thanks to technologies like analytics, machine learning, and artificial intelligence.
While many businesses already rely on analytics for demand planning and shape demand, few leverage the full potential of predictive analytics. Machine learning technology can model your supply chain and extract insights that reflect how customers behave and why.
Artificial intelligence can analyze a wide range of internal and external sources and factors to forecast demand more accurately. Modeling techniques can also help you compare the outcome of different inventory management and increase your understanding of what works best for your organization. This approach can help you reduce inventory by 10 to 30% to cut down on costs.
Fourth Pillar: Demand Forecasting Software
Enterprise Resource Planning software is a must-have tool for effective demand planning. It acts as a central platform from which you can manage different processes, including accounting, procurement, risk management, compliance, supply chain, and more.
Using a centralized platform breaks down silos between these processes and improves collaboration. It also helps you collect data for your different processes and optimize them.
Using ERP software by itself isn’t sufficient. You need to combine it with a demand planning software. Adopting a demand planning software will help you get more out of the data collected thanks to your ERP. For instance, the company ASK Power was able to increase its on-time deliver rate to 99% after rolling out a supply chain planning and supply chain execution solution to collect data from its ERP system and use it to create supply chain forecasts.
Here are some common questions about demand planning and forecasting.
How can demand planning improve the supply chain?
Anticipating fluctuating demand levels helps you adjust the quantities you purchase and gives you the possibility to secure the best price possible for the volumes you need. You can anticipate which distribution channels are going to be busy and plan accordingly, and be more reactive by seeking new suppliers before demand increases.
What are the different aspects of demand planning?
Demand planning starts with demand forecasting. Once you have an idea of what demand will be like in the future, you can develop a demand plan and implement it. Your demand plan would typically cover acquisition, inventory storage, distribution channels, plans for shipping orders, pricing, and scheduling labor.
Why is demand planning important?
Effective demand planning gives you a competitive edge. It decreases the risks of not being able to fulfill demand and can reduce costs linked with an inventory that you’re not selling.
How is demand planning evolving?
Demand planning is becoming more complex as a growing number of businesses find themselves managing global supply chains with several suppliers and distributors. New technologies like predictive analytics are becoming more accurate, and innovations like AI and machine learning give you the possibility to extract models from your data and make better predictions.
How do you learn demand planning?
You can pursue a degree in business administration or computer science to become a demand planner. It’s best to complete coursework in areas like analytics and project management.
What makes a good demand planner?
A demand planner should possess strong analytical skills and think outside of the box. You will need solid tech skills and should be ready to adapt since the future of demand planning is evolving at a fast pace.
As supply chains continue to grow in scale and complexity, demand planning and forecasting are establishing themselves as key aspects of business planning. These processes allow businesses to anticipate demand, keep the right items in stock, and reduce costs.