1

Branded Mobile Payment Systems / Apps

JavaScript
iOS
e-Commerce
Finance
FinTech

The customer

A provider of e-commerce and payment products for both U.S. and world markets. Its expertise in electronic billing and mobile marketing attracts customers from technology, finance, retail, and other industries. The company delivers online and mobile wallet functionality for a number of the most globally recognized brands, ensuring the use of their apps by millions of people around the globe.

The need

The company faced the lack of flexible resources for development of a prototype for one of the largest clients within a limited time frames and product release schedules. The app should give users quick access to the closest stores, allowing for making an order and paying ahead right from their mobile phones. The idea was to have the dishes cooked in advance—within 15 minutes after the transaction.

The customer also wanted to extend functionality of its mobile solution for several US banks. They expected to enable cardless cash access from ATMs and to speed up the QR code reader. (Mobile banking application users complained that the QR code reading process was slow and inaccurate.)

The challenges

The following main challenges were faced during the project implementation:

  • Since the customer’s mobile payment system and the purchasing services of its clients (restaurants/banks) operate independently, this required proper integration of user accounts on both sides and real-time synchronization of payment data (orders, history, etc.).
  • All the transactions and account details should be secured to prevent any unauthorized access and leakage.

The solution

Altoros has addressed the main challenges with the following solutions:

  • Previously, the system used RTF files for datasheets, bills of health, etc. One of the first steps to openEHR compliance was the development of an XSLT module for transforming openEHR data to the RTF format recognized by the legacy system.
  • The system relied on the Guideline Definition Language responsible for setting up the algorithms and rules for analyzing patient data. For instance, personnel can set processes for estimating risks of health incidents and sending warning alerts. To enable such a workflow implementation (recommendations, alerts, etc.), engineers at Altoros delivered a GDL parser and a runtime. The parser enabled the system to process a text file into an object model. As there were no .NET implementation of the GDL editor, the Altoros team transformed the editor’s Java version with IKVM to develop a GDL parser for .NET.
  • By enabling validation of patient data templates, our specialists simplified the process of finding errors and generating alerts in case of the existing data and edited template being incompatible.
  • Utilizing Oracle BI Publisher, the Altoros team developed a module for data analysis and dynamic report-building based on patient health records, medical prescriptions, etc.
  • To guarantee a faultless performance of the system, it was covered with unit tests to the maximum degree possible (85–90% of the code base).

The outcome

Cooperation with Altoros provided the customer with a new large client—a global fast food chain. After approving the prototype, they proceeded to development of a full version of the application with the following features:

  • In addition to the standard menu, user profile, and ordering functionality, its rich UI featured a customized map with multifunctional data displaying, extended options for navigation within the app, multi-optional orders, possibility save order details for further timesaving re-ordering, etc.
  • Advanced customization of an order was also delivered. Users were enabled with a multiple choice of different options for their sandwiches. They can select a type of bread, flavor, cheese, meat, and sauce, as well as add extra components or put more veggies.

The application is now used by thousands of people across the U.S. in dozens of restaurants; the customer is also planning for further expansion to other countries. Finally, our engineers significantly boosted QR code handling for bank-branded apps, which improved app performance and customer satisfaction.

Technology stack

Client Platform/Application Server

iOS

Programming languages

Objective-C, JavaScript

Technologies

Core Location, Core Animation, UIKit, Core Foundation, RestKit, AFNetworking, Grand Central Dispatch, Playgrounds, REST API, MapKit, Autolayout, CocoaPods

Databases

SQLite, Core Data

Development Environment

Xcode

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