Qskip – Self Checkout Grocery Shopping app

qskip grocery shopping app

“Qskip – Self Checkout Grocery Shopping app”

Qskip is a self-checkout grocery shopping app. For too long we have been going to the stores and waited long hours for the billing. Which spoils the complete fun of grocery shopping. Finding the product you desire is pretty tedious, exploring a new store without the help of the assistant sounds like a nightmare. And after all the hassle it is pretty disappointing to know that the grocery store is out of stock.

qskip grocery app


No More long ques: Now you can do your own billing and skip the waiting time.

No More trouble while finding the right product: You can just scan the barcode of your used products to shop the new ones.

No-More Running store to store: Select the product to find the nearest store around you selling the product and at the best deal.

Qskip makes use of technology to the fullest. With the Qskip self-checkout grocery shopping app you can simply SCAN THE BARCODE of any product (used or unused). And find the stores near you selling the product with price comparison. Even if you choose to pay at the counter. Each of our orders is marked with a QR code which the vendor can scan to read your order details. And you can move out of the line within seconds.

Challenges and Features of a grocery shopping app:

Below are the features and a brief explanation on why were they required and how did we design :

3 Different Models in 1 App:

UX Challenge:

The app was supposed to have 3 different shopping Experiences namely: In-Store, Pickup and Home Delivery. Our Challenge was to make sure that the user doesn’t get confused as to which service he is availing and yet is easily able to transition from one service to another.

Our Approach:

We laid down all the 3 models at the bottom to enhance the visibility and gave minute differences to the UI to make sure that users feel the difference while using the app. Things as minute as On-click animations were different to make the user feel the difference.

Bar Code Scanning and Adding Products:

UX Challenge:

The most time spends on the applications by customers is in finding the product they want to buy. The sooner they find the product and add it to cart the faster is the payment.

Our Approach:

Manufacturers have been using barcode since forever to maintain inventory, track sales, and distributions. And we wanted to leverage the ease. Just by placing the product in front of the camera you can add a product to the cart and even keep adding the quantity without a single click.

Category and SubCategory:

qskip 3 shopping experienceUX Challenges:

Drop Downs are old school and it interferes with the real highlight of the grocery shopping app which are the products displayed below. We wanted to have a process where the screen is not obstructed and the visibility of the different options to purchase is always in the field of view the customer.

Our Approach:

We were sure that all the category options have to be blatantly visible. However, at the same time, we wanted to make sure that it does not occupy a lot of screen space. We came up with the sliders based category and subcategory structure.

Swipe to Cart:

UX Challenge:

There are 3 steps that are required to close a purchase, Finding the product, next is adding the desired quantity, and finally doing the payment. The faster we can make it happen the more sales we can generate.

Our Approach:

We brought all 3 on a single screen. Just by a swipe up, the user can access the cart any time. Without any click, without any new UI, without clicking the back button. Payment becomes just a swipe away.

Vendor Application

QR Code-based Order Discovery:

Flow Challenge:

It is really time-consuming and irritating to keep going back and finding the customer standing in front of you. It also increases the customer time on the counter, resulting in long queues.

Our Approach:

We build a unique QR Code for each order. All that a customer needs to do is open his past order and show this QR code to the vendor. As soon as the vendor scans the QR Code the order pops up on the screen which can then be processed.

Vendor Order Verification, Add Product:

QSkip verify screenUX Challenge:

This screen probably has the highest number of features within 1 screen. The important part was, the person on the counter has to manually verify each product. while the customer can make demands to add a new product or remove the existing ones.

Our Approach:

As simple as the touch of the tile can mark the product as verified. Qskip Verification counter runs at the bottom to keep a check. The loyalty of the client can be seen by the number of the order he has done in the past.

Easy Order Management

UX Challenge:

For a busy store, it could be challenging to manage multiple orders with their status and the type of delivery they prefer. Especially in peak hours or on busy days.

Our Approach:

Qskip’s UI is designed in such a way that it highlights the important things in each order through which in a glance the vendor can understand the status and manage their priorities.

Auto Inventory Management

Flow Challenge:

 Inventory is the biggest management requirement for any grocery store. Since the product move really fast and for some products. It even needs to be updated on a daily basis.

Our Approach:

 Vendors get a notification for the products that are running low. The inventory is auto deducted once a customer adds it to their cart. Quantity and price could be updated by clicking on the product or in bulk via CSV Upload.


Based on all the research we did and the market test. We realized that Grocery is a pretty vast domain with a market cap of  $1+ Trillion in a year. Grocery can very easily accommodate multiple big players. Grocery is important because it is a basic necessity for any human. Hence there is still a lot of scope for innovation and enhancing the ease of access to these products.

With this vision in mind, we are next trying to compete with Startups like Amazon Go in the field of automated grocery shopping app experience through AI and Machine Learning. If you have some interesting ideas we would love to hear them.