{"id":18276,"date":"2022-11-28T20:55:00","date_gmt":"2022-11-28T20:55:00","guid":{"rendered":"https:\/\/businessyield.com\/?p=18276"},"modified":"2023-02-09T11:04:26","modified_gmt":"2023-02-09T11:04:26","slug":"demand-planning","status":"publish","type":"post","link":"https:\/\/businessyield.com\/management\/demand-planning\/","title":{"rendered":"Demand Planning: Overview, Comparisons, Salaries & Jobs","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Supply chains must be as flexible as possible in order to increase profitability. Also, in order to ensure that supply chains are productive for inventory and, eventually, sales, accurate demand planning is essential. In the course of this post, we will learn the basics of demand planning. This also includes demand planning salary, jobs, and job description. <\/p>

What is Demand Planning and How Does It Work?<\/span><\/h2>

Demand planning is a supply chain management method for anticipating or forecasting product demand to ensure that goods can be supplied and consumers are satisfied. The aim is to strike a balance between having enough inventory to satisfy consumer demands and avoiding a surplus scenario. However, demand is often influenced by a number of factors. Basically, some of these factors include labor force changes, economic shifts, extreme weather, natural disasters, or global crisis events.<\/p>

What are the Different Aspects of Demand Planning?<\/span><\/h2>

Demand planning encompasses many facets, with the following three being the most important:<\/p>

#1. Management of a Product Portfolio<\/span><\/h3>

Brand portfolio management is responsible for overseeing the entire product lifecycle. Basically, from the launch of a new product to end-of-life planning. For the most part, product lines are often interdependent. But understanding how new products affect demand for other products is critical to determining the overall product mix needed to optimize market share.<\/p>

#2. Statistical Projection<\/span><\/h3>

Statistical forecasting uses powerful data algorithms to construct supply chain forecasts on the basis of historical data. It is critical to determine the accuracy of each model, recognize outliers and exclusions, and comprehend assumptions in this field. Statistical forecasting can also be a useful tool for measuring seasonal changes. For example, the surge in holiday shopping that occurs between October and December for retailers, or the increase in yard equipment sales in the spring months.<\/p>

#3. Trade Promotion Management<\/span><\/h3>

Demand can be influenced by trade promotions or marketing events, especially in the retail industry.  trade promotion’s aim is to link a brand with a buyer. This is often feasible through an in-store giveaway, discount, or promotion. Half the time, these events may influence product demand.<\/p>

What Is the Importance of Demand Planning?<\/span><\/h2>

Businesses lose money if a product is unavailable for purchase because it is out of stock. They literally run the risk of losing consumers to a rival over time. Sitting on a large amount of unused inventory, on the other hand, wastes both space and production costs. Business leaders will keep ahead of market trends and make more strategic decisions through demand planning. This is achievable while remaining attentive to their customers’ needs.<\/p>

Demand Planning Best Practices<\/span><\/h2>

Demand planning is a multi-step process that relies on the right resources, data, and procedures. While there are always variations in the process based on product placement, inventory requirements, and organizational priorities, the following are some best practices to remember:<\/p>

#1. Use the Appropriate Software<\/span><\/h3>

When it comes to enterprise resource planning (ERP) programs, there are tons of options. So picking the right one can be difficult. Hence, when searching for  an ERP software, consider the tool’s ability to manage forecasting complexities, as well as the provider’s credibility, reporting capabilities, and the transparency of the forecasts it generates<\/p>

#2. Gather and Prepare Data<\/span><\/h3>

Demand planning is now more than ever driven by data. Data mining and aggregation that can define areas for change or reaction, as well as real-time insight into product movements and metrics reports that paint a simple picture, can help to build more agile process modeling.<\/p>

#3. Establish Process Models<\/span><\/h3>

A demand planning model that lacks a fixed mechanism results in confusion. It’s all too easy to mix up processes with the knowledge that’s just a collection of commonly accepted data about an entity. This, however,  makes it impossible to keep someone accountable and harms overall results. The steps in the demand preparation process for most businesses are as follows:<\/p>

Data collection and preparation|| Initial projections|| Market intelligence incorporation|| Bottom-up predictions are compared to top-down financial and revenue forecasts using sales targets and financial reports.|| Finalize your forecast.|| Monitoring of performance using real-time analytics|| Monitor and implement<\/p>

Meanwhile, demand planners who are successful typically create a pilot version of the plan on the basis of historical data or descriptive analytics. They also make daily changes and have a team dedicated exclusively to developing the strategy, putting it into action, eliminating error and bias, and designing implementation processes.<\/p>

Difference between Demand Forecasting vs. Demand Planning<\/span><\/h2>

Demand forecasting and demand planning are often used interchangeably. They are however not the same thing, even though they are inextricably connected in the supply chain management process. Basically, o ne (forecasting) is a necessary component of the other (demand planning).<\/p>

Demand planning is a procedure, and reliable forecasts are the outcome of a successful demand planning procedure. Furthermore, d emand planning is an essential part of the S&OP process (Sales and Operations Planning). The analysis data science approach an organization uses to arrive at these numbers is an important part of the demand planning process.<\/p>

What Is Demand Forecasting and How Does It Work?<\/span><\/h3>

Forecasting refers to the method of anticipating demand or revenue in the framework of supply chain management (which are two in the same). Demand forecasts that are highly reliable and deliver on negotiated strategies are needed for effective demand planning.<\/p>

Best Practices in Demand Planning and Forecasting<\/span><\/h3>

Accurate predictions are extremely difficult to come by, let alone trust. So, n order to calculate reliable forecasts, demand planners must have the processes and know-how in place. This is contingent on a firm’s ability to:<\/p>