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At Your Door

Why step out when you can get everything delivered home at your doorstep with the tap of a button with this Application? Bringing the ancient Kirana Udhaar Model to Online World.

Created on 13th December 2020

A

At Your Door

Why step out when you can get everything delivered home at your doorstep with the tap of a button with this Application? Bringing the ancient Kirana Udhaar Model to Online World.

The problem At Your Door solves

At Your Door is an online-based grocery shopping application, from where users can connect with their nearest available Grocery Shops / Kirana Valas and order GROCERY through ancient udhaar method / Online Payment / COD.

What happens in offline Grocery Store is, Users buys grocery on udhaar from vendors and forgets to pay him, which results in loss to shop-owners.

  • Our App will help to solve this problem of shop - owners and allow users to buy groceries on udhaar online from their nearest grocery shop.

Below are a few points that make ** At Your Door ** different from all other apps.

  • Connect With Your Nearest Grocery Store
  • Order Grocery Thorugh Udhaar Method.
  • On Successfully Registering Account, Every User will be credited with ₹ 5000 in their Account. Users can use this credit to order groceries.
  • Not Only Users but Vendors will also be benefitted from this app, as we will pay them the amount directly on the same day which will result in profit to shop-owners.

Challenges we ran into

There were many challenges we ran into while developing the app.
Below are the few biggest issues we ran into.

  • Match products that are in the cart to the products listed in the shop so that the user knows that he/she has already added that product to the cart.
    We overcame this problem with a bit of research.

  • Currently, we are using MongoDB as a database, and our Categories, SubCategories, Shops, and Products are divided into different Collections and all are dependent on each other. So fetching some specific product from a shop based on subcategory and category was a difficult task for us. With a bit of research in mognodb, we were finally able to solve the problem.

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