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Coupon Management App

Highlights

Client Location:
United states

Industry:
E-commerce

Language:
English, Arabic

Technology Used:
ASP .NET | MVC Framework | SQL Server

Platforms:
Android, iOS & Web

Business Idea

Our client is one of the most prominent organizations offering retailers as well as merchants to promote their products by introducing impressive discount offers. The idea was to transform the grocery shopping experience and serve all family needs.This app is to transform the grocery shopping experience and serve all family needs.

Directly SEARCH and SAVE Offers Discounts

CREATE shopping list

COMPARE price across stores

LOCATE stores to grab the best offer.

Challenges

Identification of an individual offer from the list of various offers

Paper flyers are classic methods However, they had a limited reach and non eco-friendly. A digital copy was thus, imperative. Scanning to get a E-copy was one option but identifying offers with scanning was not possible.

The app was generating mountains of data

App had to face another challenge of receiving huge data, millions of user requests. The ordinary SQL server failed to handle the request and the app required more feasible and reliable solution to be implemented.

Load Balancing

For better user experience, the app was to be developed in such a way that it had to optimize the process of load balance.

Enabling Advanced search

The idea of the app was to assist users in getting the product they are looking for in seconds. Enabling advanced search with increased relevancy. With 1-2 letters typed, the app should display the product the user is most likely searching.

Build your dream app

Solutions

Azure Cloud Search

Azure Cloud Search offers an incredible search experience for mobile as well as web apps. It works wonders for users who expect enhanced relevancy, near-instantaneous responses, suggestions, faceting, multiple languages, etc. It offered enhanced storage for less indexing time and less querying time during search scenarios.

Different Properties

Every offer possesses different set of properties such as name, price, offer price, etc. Property identification by image cropping was the most probable solution to identify the offers under a specific category and sub-category.

Speed Optimization

Microsoft Azure cloud was utilized, which significantly helped in scaling all of its resources. The speed of the app was optimized after Azure cloud implementation. The SQL database in app was divided into partitions.

Optimization Methodology

The best methodology to optimize load balance was to disintegrate the app into two parts. One was data entry to optimize the process of input. The other was live part to optimize reading.

Conclusion

Avail single offer from a group of offers

Advanced search option to help with quick and reliable search

4.7/5 Rating

5,00,000+ Downloads

App Screenshots

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