AIO on GitHub: our OpenSource project for the supply chain community

Today on our blog: watch Titus and Sebastian explain why we started AIO on GitHub, our OpenSource project for the supply chain community.  

A comprehensive, forward-looking open-source library of code for supply chain scientists does not exist, which means we are all working from scratch for every project. We are taking old scripts, copying them, and adapting them for every new project.

Surely, we are not the only people that do what we do and need the same tools. This got us thinking: if we spend some time building up a library of tools, we support other companies in becoming more sustainable and resilient.

Why would we do this? We believe that our values, such as sustainability, will continue to be supported by other companies when they use our tools. Ultimately, this is a win-win.

We believe that data scientists will lead supply chain technology in the future. We are not in a niche, so we would like to support other supply chain scientists developing their own work, while simultaneously pushing our field forward quicker and more cohesively.

We could help create businesses that last in the long run. But what is in it for us? We could learn a lot from anyone working towards the same goals.

Of course – working on an open-source project comes on top of our daily activities. However, they are not independent from each other. We could publish functions from our rich aioneers repository and enrich it with further explanations and tutorials.  

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Where would we start? Classification is the basis for every targeted and smart selection of supply chain strategies. So, we just created a dedicated ABC – analysis function which is ready to be published. A corresponding XYZ & frequency analysis function is in development right now and could be published soon.

Why publish now, rather than wait until we have hundreds of functions available? We believe it is better to start right away and build strength as we go. That way, we also provide room for contributions from others, which could be anything from correcting a typo to creating a tutorial, or even sharing a function themselves.

Over the next month, we will introduce and enrich this project with a series of short explanatory videos and tutorials and new code, that give you the tools to use the repo in a supply chain science or even business context. Read our documentation on the project or go to GitHub.