Welcome to the Age of Optimization, where we use analytical methods to solve complex business problems. We're all about saving costs, simplyfing processes and increasing revenue by using mathematics, computer science and, most of all, common sense.

Here you'll find some examples of optimization in the supply chain and logistics industry. This is prescriptive analytics at its best - telling you what to do to achieve a good outcome. For example, how to service a chain of supermarkets from the central warehouse with minimal costs. In addition to optimization, we'll sometimes use simulation or a combination of both to give meaningful insights. We also practice descriptive and predictive analytics, which deal with understanding historical data and coming up with quantitative forecasts of the future.

Although the examples here are about supply chains, we're not just bound to this one industry. Nowadays, people optimize radioactive implant placement in treating cancer, wind turbine locations in wind farms and which guys to recommend to girls on dating apps. As a result, good boys finally get to meet some girls, green energy produces more bang-for-the-buck* and prostate cancer survivors don't have to "pee fire" for the rest of their life. In general, the only limit** to using optimization is your imagination. All models and algorithms can be modified and extended to fit your needs. The examples might look better on wide devices such as desktops rather than portrait mode mobile devices.

* Remembering John J. Bartholdi, a great teacher who brought this expression into my vocabulary
** In practice the speed of the algorithms is also a limit