Implementing a k-means clustering solution
The dataset requires preprocessing to be converted into a prototype to prove the financial value of the project.
Never implement an ML solution in a corporate environment without knowing how much profit it represents and the cost of getting the job done. Without profit, a company will not survive. ML, like any other investment, must provide a return on investment (ROI). In our case, ML will reduce the cost of transportation in the warehouse by reducing AGV distances.
The vision
The primary goal of an ML project involving bots can be summed up in one sentence: finding profit by optimizing bot activity. Achieving that goal will lead to obtaining a budget for a full-scale project.
The data provided does not contain distances. However, an estimation can be made per location as follows:
distance = (end time – start time)/average speed of a bot
The start location is usually a loading point near a pier...
