Supply Chain Science


rocket_article Oct 17, 2014

Book: Quantitative Commerce Optimization

Discover in this book how our own technology can bring your company to the next stage of profitability.

rocket_article Oct 9, 2014

Top 10 Oddities in Demand Forecasting

Here's a short list of the worst offenders when it comes to statistical oddities.

rocket_article Aug 26, 2014

Mitigating supplier stockouts

Discover how our solution reduces the consequences of a supplier stockout without increasing your inventory.

rocket_article Jun 5, 2014

Top 10 lies of forecasting vendors

An honest (and fun) review of software vendors' most common claims about their product.

rocket_article May 20, 2014

How to mitigate overfitting when forecasting demand?

How to avoid that your forecasting models are only accurate at predicting the past, not the future.

rocket_article Apr 24, 2014

Short-term vs long-term pricing analysis

Price elasticity is a misleading metric, learn how to work around it.

rocket_article Apr 17, 2014

Ignore prices, only pricing strategies matter

Discover why a transition from an implicit pricing strategy to an explicit one is what your business deserves.

rocket_article Apr 3, 2014

Control your service levels, don’t let them control you

Thanks to quantile forecasts, service levels can now be measured with high accuracy. Discover how.

rocket_article Feb 6, 2014

New video: introduction to quantile forecasting

Where inventory optimization is concerned, classic methods often make no sense. Discover why.

rocket_article Sep 20, 2013

Whitepaper: Quantitative Inventory Optimization

Discover this whitepaper, jointly published with Brightpearl, on Quantitative Inventory Optimization.

rocket_article Sep 3, 2013

Promotion planning in general merchandize retail - Optimization challenges

There is no optimization without measurement. In the case of promotions, what are you actually measuring?

rocket_article Aug 6, 2013

Promotion planning in retail – Process challenges

When are forecasts produced? How are they used? Our beliefs in terms of optimizing the forecasting process.