"Ll bean inc item forecasting and inventory management case" Essays and Research Papers

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    Executive Summary Organizational Profile L.L. Bean Inc. was established in 1912 by Leon Leonwood Bean. He obtained a list of nonresident hunters to establish his first client list for his mail order business. His golden rule for the company is “Sell good merchandise at a reasonable profit‚ treat your customers like humans beings‚ and they’ll always come back for more.” In 1967 when L.L Bean died‚ his mail order business had grown to $4.75 Million in annual sales‚ the catalog was distributed to

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    other stores. The case discusses the challenges of organized retail in general and specific challenges of inventory and cost management for a discount retailer. It also provides detailed data that can be used for the diagnosis of the supply chain system at Subhiksha. Learning Objective The Subhiksha case is a comprehensive case dealing with retail operations and supply chain issues. Ideally this case should be scheduled after all the basic concepts in supply chain management have been covered

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    By 1991‚ LL. Bean Inc was in the catalog business. LL Bean was a major cataloger manufacturer and retailer in the outdoor sporting specialty field. Their golden rule was: "Sell good merchandise at a reasonable profit‚ treat your customers like human beings‚ and they will always come back for more". They had six million active customers‚ and by 1991‚ twenty-two different catalogs ("books") were mailed. 80% of all their orders came in by telephone. They mainly reached the client using direct marketing

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    LL Bean

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    3. LL Bean utilizes a probability distribution methodology to help predict the optimal order size of a specific item. The probability distribution is driven by a series of calculations that will predict forecast errors. One of the major concerns is that LL Bean tends to order more inventory than what was predicted in the frozen forecast. Their logic for doing this is that the cost of understocking exceeds the cost of overstocking. According to Marck Fasold (CFO)‚ this methodology leads to major discrepancies

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    Re: L.L. BeanInc. Overview When working in the catalog industry and a customer calls in and wants to order a red sweater and you are out of red sweaters‚ the company might have just lost the sale if the customer does not want a substitute colored sweater. This is the part of the continuous problem that L.L. BeanInc. has with item forecasting and inventory management. Working in a catalog business really helps companies to capture demand‚ but the problem most companies have is matching demand

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    Ll Bean

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    Questions for Case Analysis #2
L.L. BeanInc.
Item Forecasting and Inventory Management Each group should prepare one report that includes the answers and discussion of the following question. On top left corner of your report‚ please write your team’s name and names of team members in alphabetical order. Q1. (15 pts) Mark Fasold stated that “In catalog business like ours‚ you really capture demand. That’s the good news”. Do you agree with Mr Fasold? If you agree‚ explain how L.L. Bean is capturing

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    Ll Beans

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    LL Beans Please submit your analysis of this case. In addition‚ be prepared to discuss your analysis in class. 1. How significant (quantitatively) of a problem is the mismatch between supply and demand for LL Bean? As per the historical series and its associated statistical description (see graph below)‚ we can observe that there is a significant spread between the A/F ratios sine the standard deviation equals 1/3 of the mean. Besides in cases‚ there is mismatch beyond 50% between the forecast

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    Ll Bean

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    the 5 problems that shown in this case. First paragraph is to adjust how L.L Bean uses the previous year’s demand to determine how many units of product to order. Second paragraph is to adjust how many units of item L.L Bean should purchase under the relationship between the item costs and revenues. Third paragraph is to adjust what information should Scott Sklar have in order to help him to forecast for a particular style of men’s shirt that is a new catalog item. Fourth paragraph is to adjust the

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    Ll Bean

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    Case 1: L. L. BeanInc. 1. How successful has L.L. Bean been? L.L. Bean Inc. has been tremendously successful throughout the course of its business operations. The business was first created in 1912 by L.L. Bean with only $400‚ the business has managed to expand to $120 in sales by the year 1980. As well‚ within the market for outdoors equipment and apparel‚ L.L. Bean is the leading company that has the highest amount of sales. 2. What are the reasons for L.L. Bean’s success? L.L

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    LL Bean Case Study

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    Case Report: L.L. BeanInc. 1. How does L.L. Bean use past demand data and a specific item forecast to decide how many units of that item to stock? L.L. Bean uses different type of calculation to determine the number of units of a particular item it should stock (new item or never out item). First we detect a frozen demand forecast for the item in the upcoming season. This figure is a result of an agreement between product people‚ merchandising‚ design and inventory specialists. Then‚ we analyze

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