Tag Archives: Supply Chain

Supply Chain Data Science – Reducing Forecast Bias

Based on APICS methodology we use at LR Physics Supply Chain Data Science, forecasts are usually based on historical data manipulated in some way using either judgment or a statistical technique. Thus, the forecast is only as good as the data on which it is based. To get good data, three principles of data collection […]

The Supply Chain Blockchain: how to guide by Alexandre Tabbakh

Though LR-Physics is not currently working on a Supply Chain Blockchain project, we are always looking for opportunities to enrich our Supply Data Science projects. (source of the blockchain reflexion: Alexandre Tabbakh on LinkedIn who did a great work going through all the Supply Chain Blockchain details) One of the first move a large firm […]

Machine Learning for Supply Chain: your benefits

Every Product Manager in the World spend a lot of time and resources keeping the company Product Catalog up to date. The Machine Learning Supply Chain module of our Mash’n Learn project tackles all aspect of gathering data from the internet to enrich product data sheet. Enhancing Product Catalog for Supply Chain Improving Product data […]