CHAPTER 5Decision Intelligence in Practice: Industry Examples of Applied DI
“We do a lot of things in analyzing data and stuff, but we're just looking in the rearview mirror. I can't wait to take a look in the crystal ball!”
– An experienced manager from a big manufacturing company1
Data science and behavioural science barely know industry borders, since their possibilities are limitless, but the way these mechanisms are applied can differ depending on the industry and domain. This chapter serves as an inspiration for how to map the general techniques to your specific domain to take full advantage of Decision Intelligence in practice. For each industry, we focus on one of the problems with the biggest lever. Many problems described for one industry are also applicable to others because there is a high intersection between similar industries. Hold tight, and let's dive deeper into real-life applications of Decision Intelligence.
DI in Logistics
If you think planning a trip to multiple destinations is a headache, imagine figuring out the most efficient route for a salesperson to visit several clients while minimizing costs and travel time. This is the famous “traveling salesman problem,” one of the best-known mathematical challenges.
But now, with the help of data and technology, logistics experts are tackling even more complex versions of this problem every day. Instead of just one salesperson, they are dealing with the challenge of shipping multiple products to various ...
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