# Quick Start Getting started on Quickzu is super easy and anyone can create their WhatsApp digital store in 10 seconds. After Signup, you will get this quick onboarding screen (*Image 1.1*) to set up your store. you can also change this after set up in your dashboard under [**Business Settings**](/doc/business-settings.md). ![Image 1.1](/files/-MV_inwVpOdUbQsgnwiA) ![Image 1.2](/files/-MV_iugxgb5rx8C616qy) Fill these details - * **Store name/business/brand name** - Put your store name or business name example- Le Cafe * **Language-** select your language. * **Domain name (subdomain)** - this will be your own whatsapp store URL, example- lecafe.quickzu.com. * **Store/Business Address** - here put your business/store address. * **Mobile(WhatsApp)**- fill your WhatsApp number here, this will be used to get order on WhatsApp. * **Country & Currency**- select and set your country and currency for your store. * **Category-** you need to select your store category, if not listed then choose others. ( choose restaurants for hotel and cafe etc. to enable veg/non veg menu settings) * **Receive order on-** select where you want to get your orders from customers( even if you select whatsapp only, your order details will be on web dashboard) ![Image 1.3](/files/-MV_kO8VRWl38MTgX8qI) now just click on create store to finish onboarding and your whatsapp store will be ready. ![Image 1.4](/files/-MV_ki4VMcuiesKQhaXZ) once you create store, you will be redirected to dashboard. you can add other information related to business and payment can be added in [Business Settings.](/doc/business-settings.md) now lets add Product and Categories at whatsapp store. --- # Agent Instructions: 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: ``` GET https://quickzu.gitbook.io/doc/quick-start.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.