Practical data science tips to overcome operational challenges in the transition to a circular economy
A circular economy is an economic system in which waste is minimized and resources are continually reused or recycled.
Imagine a world where your waste does not end up in landfills but becomes raw material for new products.
The transition from our current linear economy to a more sustainable circular one is an important issue for many companies.
What is holding us back?
As the current linear economic model reaches its limits, debates about new circular business models are becoming increasingly prominent.
These discussions mainly focus on
- Operational and commercial obstacles blocking the transition
- Alternative strategies to increase the use of recycled materials
- Rental models to reduce the environmental footprint
As an analytics manager at a retail company, how can I support this transition?
Analytics experts can leverage data generated by systems to overcome these barriers by identifying opportunities to create a sustainable and profitable circular supply chain.
In this article, we will step into the shoes of an analytics manager who was asked to support the operational transformation of a fashion retail company.
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Your Complete Guide to Supply Chain Analysis: Analysis Cheat Sheet
Summary
I. Transition to a Circular Economy
1. What is the environmental impact of a T-shirt?
2. Data-driven Process Design
II. Overcoming the…
