Jun 17, 2020
Open-to-Buy is a budgeting and planning process that is commonly used in the fashion industry to drive purchasing decisions. In this episode, we discuss why this approach is so popular and discuss whether modern technology can provide alternative approaches to keep up with the ‘fast fashion’ culture.
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Apr 22, 2020
The nature of the hard luxury market means that despite a growing online presence, the vast majority of purchases are still made in store. With sales reaching as low as one or two units per year, it can often be challenging to know what to display in stores and how best to capitalize upon a demand that is so sporadic. For this episode of LokadTV, we discuss this dilemma and learn what hard luxury stores can do to optimize their assortment.
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Oct 30, 2019
The supply chain optimization of the fresh food industry presents specific challenges, most notably the precise control of expiration dates that are very short and complex seasonalities that are typically more erratic than what 'non-fresh' supply chain practitioners would expect.
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Oct 2, 2019
Accurate demand forecasts for automotive spare parts is important to ensure high service levels that minimize disruptions for customers when their vehicles are in need of mechanical repair. However, the number of distinct parts and the number of distinct vehicles are high, which both complicate the forecasting process.
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Apr 4, 2019
Hard luxury is characterized by an exceedingly low sales volume. Time-series forecasting methods are ineffective at delivering any kind of supply chain optimization. Yet, the quantitative optimization of assortments, stocks and prices is possible for hard luxury - even when looking at the most disaggregated level, e.g. stores.
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Dec 5, 2018
Fashion brands are driven by novelty. This puts a lot of pressure on fashion supply chains to reduce overstocks, both to reduce the discount rates but also to make room for the new collections. Overstocks are typically caused by an incorrect prior forecast of the customer demand.
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Oct 10, 2018
Forecasting demand in aerospace is difficult because demand is both highly erratic and intermittent. Also, TAT (turnaround times) need to be forecasted as well. In practice, probabilistic forecasts are required to achieve any meaningful results in the aerospace industry.
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