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Feb 6, 2019

Data Lakes in Supply Chain

Data lakes are data storage technologies intended for bulk reads and bulk writes. They are particularly well suited to address supply chain challenges, because many situations require an inspection of the company's entire history of orders and stock movements.

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Jan 16, 2019

Terabyte Scalability for Supply Chains

The relevant amount of historical data when considering large supply chains frequently exceeds one terabyte. As a result, inventory control requires two distinct flavors of software: transactional software (e.g. an ERP) to manage the resources, and predictive software (e.g. Lokad) to optimize the resources.

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Jan 9, 2019

Why Safety Stock Is Unsafe

Safety stocks are an inventory optimization method that enforces an extra quantity of stock beyond the expected demand in order to maintain a target service level. This method relies on key statistical assumptions about the demand forecast, most notably that the error is normally found in the distribution.

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Dec 12, 2018

Generations of Machine Learning

Machine learning is an umbrella term that includes diverse algorithmic approaches. In supply chain, the historical way of doing machine learning was time-series forecasting. However, this approach has been superseded by a series of superior forecasting approaches.

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Dec 5, 2018

Quantitative Supply Chain For Fashion

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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Nov 28, 2018

Data Science For Supply Chain Forecast with Nicolas Vandeput

Statistical demand forecasting was pioneered in the 20th century, however it can be revisited with better, more modern statistical approaches. Yet, these methods aren't necessarily more difficult to implement than their older counterparts, because software tooling has also significantly progressed. We are joined by Nicolas Vandeput, a Supply Chain Scientist specialized in demand forecasting and inventory optimization. We discuss his new book: 'Data Science for Supply Chain Forecast'.

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Nov 21, 2018

Why Lead Times Are Nearly Always Underappreciated

The lead time is the total amount of time, typically counted in days, associated with the inventory replenishment cycle. The amount of stocks that a supply chain needs to operate tends to be roughly proportional to its lead times. Accurately estimating future lead times is critical for accurately estimating the amount of inventory needed to fulfill future demand. However, it is a fundamental factor that is often overlooked by companies, with a far greater importance being placed on forecasting.

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Nov 14, 2018

Service Level vs. Fill Rate

In supply chain, the service level defines the probability of not hitting a stock-out during the next ordering cycle. However, the fill rate defines the fraction of the customer demand that will be properly served. Service levels and fill rates are distinct, and should not be confused.

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Oct 31, 2018

Transforming Complex Supply Chains with Hervé Hillion

Supply chains have to undergo profound changes to benefit from software innovations such as predictive optimization technologies. However, transforming complex, many-decade old organizations is difficult. We are joined by Hervé Hillion, one of the founding members of SAY Partners. Hervé explains how change can be effectively conducted across an entire supply chain.

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