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 with forecasting the demand for their products. Also, this leads to buyers being challenged that products are being ordered that do not align with their forecasting predictions. In addition, Rol Fessenden eludes to the fact that the methodology has issues because they can’t find any real distribution errors among products and he is not convinced about the estimating contribution margins and liquidation costs.
In summary, there are many challenges to LL Bean’s ordering process. LL Bean tends to be okay with just overstocking rather than focusing on making accurate predictions. This approach leads to unwarranted costs that can be eliminated if they focused on refining their ordering process and methodology. Secondly, it seems that buyers make forecasts that are not being applied by the company which turn leads to unsatisfied buyers because they feel their judgments are not being respected. Lastly, LL Bean should allow the distribution forecast errors to be handled by the buyers during their initial forecasting discussion.
4. The typical forecasting process for LL Bean involves various individuals (including the Inventory Buyer and product “people”) meeting together to make forecasts of items by book. Specially, an Excel spreadsheet is utilized to rank items by expected dollar sales and “discussions” are involved to make adjustments. The buyers tend to use their own personal judgment where they invent a “rule of the thumb” to develop forecasts....
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