Have you ever wondered how much you've spent on amazon.it since you signed up, and more importantly, what you’ve bought?
I believe that, for the second question, not everyone knows which categories of items have had the most impact on the total of their purchases, and it’s not easy to determine this just from the order list—simply because it’s not included.
Our favorite tool comes to the rescue, along with Ollama, an interface that allows the use of local LLM models. Specifically, we will use LLama 3.1, which will help us find the corresponding category based on the item descriptions.
This workflow enables precisely that, and it can be used with your order list by simply changing the file path in the CSV Reader node.
For more details on the process, you can read the article at the link below.
URL: Amazon: avete mai calcolato quanto spendete e cosa comprate? https://datasciencefacile.altervista.org/2024/09/07/amazon-avete-mai-calcolato-quanto-spendete-e-cosa-comprate/
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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