Importance Of Demand Forecasting On Sales And Operations Planning

Target is the second biggest retail company after Walmart. Native New Yorker, George Draper Dayton first built a company named Dayton Dry Goods Company in 1902 in the Minneapolis area which is now known as target headquarter. Walmart faced the out of stock issue problem last year and now their biggest competitor, Target, also has faced the same problem this year. Target has a problem keeping the availability of the product in their stores in Canada. It resulted in a huge loss of money and closing down their stores. The CEO of Target said that this is a serious problem and must been solved.

Forecasting should include the use of both quantitative and qualitative approaches to forecast demand for its products.

The current demand forecasting method is based on qualitative techniques more than quantitative ones. If the forecast is not accurate, the company would carry both inventory and stock out costs. It might lose customers due to shortage of supply or carry additional holding costs due to excess production. If the actual demand doesn’t match the forecast ones, and the forecast was too high, this will result in high inventories, obsolescence, asset disposals, and increased carrying costs. When a forecast is too low, the customer resorts to a competitive product or retailer. A supplier could lose both sales and shelf space at that retail location forever if their predictions continue to be inaccurate. The tolerance level of the average consumer

* Forecasting is an impartial strategic ingredient that will ensure apt base for reputable planning. Our forecast is always the first step in developing plans in running the business along with our future plans of growth strategies. With this tool, we are able to anticipate our sales within reason that then can allow for us to control our costs in conjunction with inventory which will then help us to enhance our customer service. Sales forecasting is a vital strategic tactic in our company’s methodology.

Introduction to Financial Planning and how do we create an integrated plan: Focus on cash flow forecast using operations plan

Forecasting is used in all businesses. Forecasting is used to help businesses decide how much they should produce and where to sell a product. Forecasting can aid a company in knowing the lifecycle of a product, which can help them to determine when and if they should discontinue a product. Forecasting can also help managers close the gap between supply and demand. If a forecast is properly predicted the supply of a product can satisfy the demand of the product. Forecasting is not always accurate however, and can lead to either over production of a product or underproduction of a product.

A sales plan is a plan through which the organization performs its sales functions with the goals of selling products and services. According to Zoltners (2016), an important part of a sales plan is defining the customer base and understanding the

Apple Inc. is one of the largest technology companies in the world. The company develops consumer electronic gadgets such as smartphones, computers, desktops, laptops, iPods and tablets. The company was formed in 1976 by Steve Jobs with an intention of making computers but later it changed its focus to include the manufacturing of consumer electronics. However, the company was dealt a big blow when its chief executive officer and founder Steve Jobs died. The company will therefore have to search for ways in which it will maintain its market dominance as well as capture new and emerging markets. This research therefore seeks to establish how Apple forecasts demand and manages its inventory (Apple Computer Inc., 2006).

Forecasting is the methodology utilized in the translation of past experiences in an estimation of the future. The German market presents challenges for forecasting techniques especially for its retail segment. Commercially oriented organizations are used to help during forecasting as general works done by academic scientists are not easy to come across (Bonner, 2009).

It involves dividing the forecasting problems into parts that are easier to forecast than the whole, one approach is breaking it down into multiplicative components. It has a number of advantages as it is used when there is much uncertainty about the aggregate forecast, when large numbers are involved and it has proven to be more accurate than those of global approach.

But even this is not possible in case of a new product or innovation. A forecast of sales, demand, cash, requirements and several such business valuables are extremely essential for a business in order to be able to appropriately plan and conduct its operations in an effective and efficient manner. Yet, forecasts cannot be made accurately as there are several factors and changes in the current environment that leads to variations in forecasts and impacts or causes a manager to make changes in the forecasts.

1.Detail and discuss alt the challenges you faced in projecting demand: meeting customer needs and wants, pricing, competitive actions and competitive response. How did your decisions impact your end performance (market share, income statement)?

Before, the concept of demand forecast was to serve the key functional groups in achieving their own interest. Facing the new challenges, forecast needed to be more accurate. And therefore it needed a new concept that is to have a consensus forecasting that would accurately reveal market demand and align the needs of key actors in the forecasting process. Leitax implemented two specific changes in forecasting process. The first one is to switch the focus from sell-in to sell-through and second one is to ignore capacity constraints.

The concept of demand forecasting more accurately measures and predicts the changes and opportunities in the supply chain.

Business forecasting is the process of studying historical performance for the purpose of using the information gained to project future business conditions so that decisions can be made today that will assist in the achievement of certain goals. Forecasting involves taking historical date and using it to project future data with a mathematical model. Forecasts are extensively used to support business decisions and direct the work of operations managers. In this paper I will introduce different types of forecasting techniques.