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Llbean

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Case Report: L.L.Bean
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 proceeds in different steps to determine how many units of a certain item it should order. Firstly, a compromise has to be reached between buyers, product people and inventory managers on the forecasts. The different parties list the various items in expected dollar sales and then assign a dollars in accordance with the ranking. In case of a new item, they have to predict if it will generate incremental demand. These estimated numbers are then called ‘frozen’ and thus called ‘frozen forecast’ in the following paragraphs. The forecasts are then adjusted by past demand and forecast data, taking into account the historical A/F ratios for every item. Also, a frequency distribution of past forecast errors is computed and helps predicting demand. Then finally, they use the critical ratio or overstocking-­‐understocking ratio to determine the fractile of the item’s distribution. For example, if item A has a margin of $15 if sold and $5 if liquidated, the critical

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