> For the complete documentation index, see [llms.txt](https://docs.onedaybundle.com/onedaybundle/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.onedaybundle.com/onedaybundle/english/master.md). # About us Our company has been selling items on Amazon for more than three years but our prep center, as a project, is relatively new. Launching this project, we analyzed the service market and noticed that there is an outstanding request from potential customers for prep speed. We set ourselves a goal: what we receive today will be shipped to FBA tomorrow. We also put the focus on preparing bundles (sets) and due to partial automation, we improved their preparation. Now we already have 5 shrink wrapping machines. Our motto is Money which you couldn’t make today, you can never make again. Unfortunately, still many sellers wait for their requests for a few days or even weeks, while items of our clients are shipped to FBA the next day. Time is money! Our current performance is 7-10 pallets per day, 75% of which are bundles (sets) and high-quality bubble wrap. Our course is to expand by increasing area and equipment. And, of course, automation of customer service within warehouse and item preparation. Therefore, we’re launching our application to process and improve the work between a client and prep center. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.onedaybundle.com/onedaybundle/english/master.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.