BUSINESS MANAGEMENT A+ WORK, ON TIME, NO PLAGARIZING; ON TIME

ECON 600 Discussion (No more than 250 words)

Why is knowing (or estimating) the product demand so crucial for a firm? What are the differences between estimating and forecasting demand?  In your response, include an example of a business that has suffered from poorly forecasting the demand of its products. Evaluate how or why the business made such a mistake. To keep our discussion more interesting, please use examples that are not from our textbook.

Respond to mart (No more than 150 words)

Hello class and Professor,

Understanding or estimating product demand is crucial for a business because it directly affects almost every part of operations, including inventory, staffing, production, pricing, and profitability. If a company underestimates demand, it may run out of products, lose customers, and damage its reputation. On the other hand, overestimating demand can lead to excess inventory, wasted resources, and financial losses. Knowing the level of customer demand allows businesses to make better decisions and remain competitive in the market. It also helps companies plan for future growth and respond more effectively to changes in customer preferences or economic conditions.

There is also an important difference between estimating demand and forecasting demand. Estimating demand usually focuses on determining the current level of demand for a product based on available data, customer behavior, and market conditions. Forecasting demand, however, is more future-oriented and predicts what demand will look like over a certain period of time. Forecasting often uses historical sales data, market trends, seasonal patterns, and economic conditions to make predictions. In simple terms, estimating looks at the present while forecasting attempts to predict the future.

A good example of a company that suffered from poor demand forecasting is Target during its expansion into Canada in 2013. The company expected high consumer demand and rapidly opened more than 100 stores across the country. However, Target significantly overestimated customer demand and underestimated the challenges of managing inventory and supply chains in a new market. Many stores experienced empty shelves while warehouses were filled with unwanted products. Customers were also disappointed by higher prices and fewer product options compared to U.S. stores. As a result, the company lost billions of dollars and eventually closed all of its Canadian locations in 2015.

Target made this mistake because it expanded too quickly without fully understanding the Canadian market and customer expectations. The company relied heavily on assumptions rather than accurate market research and realistic forecasting methods. This example shows how poor demand forecasting can lead to operational problems, financial losses, and damage to a company’s reputation.

Respond to Lexi (No more than 150 words)

Hi everyone!

A firm must know the demand of their products and service to be successful. Understanding product demand will allow firms to optimize production, avoid excess materials, save money, increase customer satisfaction from having the products needed at that time, and maximize revenue. If a firm does not consider the demand for certain products, they could lose money, time, and customer satisfaction. This is why it is important for companies to analyze the demand curve and comprehend what will happen to the product demand if there is a shift in the market or a change of price. There are a couple of factors that can influence the demand curve. These factors include income of consumers, substitute goods, complementary goods, size of the population, and consumer tastes and preferences. All these factors play a part in the demand curve, which in turn, is critical for success.

There are two methods a company can use to predict the change in demand throughout the year: estimating and forecasting demand. Estimating the demand of a product is gathering recent market conditions and analyzing the underlying cause of consumer behavior to determine the present demand. This strategy is focused more on the short-term impact of demand and relies on current information or data. Estimating demand has lower uncertainty because of how recent the data is and can tell a firm here and now how the demand is being affected. Forecasting the demand of a product is using historical data to predict patterns and trends to propose how the demand will shift in the future. Using this strategy addresses long-term data and is used for planning purposes. There is more risk associated with forecasting because there could be unforeseen variables in the future. Both methods can be used to maximize efficiency and give a better understanding of the consumers.

An example of how forecasting the demand of goods went sideways occurred when Nike forecasted their need of inventory and failed dramatically. Nike utilized an automated demand forecasting system to predict product demand, but, ultimately, this prediction backfired. The system overestimated the demand for some products while underestimating for others. This forecast mistake cost Nike $100 million in excess stock and storage. This shows the risk involved in forecasting demand using automated systems and reveals that proper management and monitoring could have prevented this disaster.

MKGT600 Discussion on Brand (No more than 250 words)

When considering a strong brand, prominent names like Starbucks, Nike, and Apple may come to mind. These companies have not only achieved high brand recognition but have also successfully released multiple brand extensions under their names. Some brand extensions have not been as successful.

Timelines & Requirements: Post your  initial thread substantially addressing the topic by  Thursday at 11:59 pm ET. 

Consider Consider the topic of branding and building a strong brand image, including research on brand extensions that have not been successful.

Discuss

· Summarize and share any conclusions that can be made from your research on this topic.

· Share an example of a brand extension that could have gone better. What went wrong, in your opinion?

· What advice can you offer a company on successful branding?

· How is artificial intelligence influencing brand management and extension strategies today? 

References

Laing, D. (2008). World Music and the global music industry: Flows, corporations and networks.  Popular Music History,  3(3), 213–231.

References

Pietilä, T. (2008). Introduction to the Special Issue.  Popular Music History,  3(3), 207–212.