Our client operates a significant restaurant chain on the American West Coast with more than 3500 employees. The client has been in this industry since 2009 and has never implemented any significant changes before our partnership.

Detailed information about the client cannot be disclosed under the provisions of the NDA.

Challenge: Cumbersome monolithic system that struggled with data processing

Our client had been searching for a restaurant app development company for a long time before turning to us for help. There was a Java Monolith application that did not meet the current realities of customers’ business sectors. The problem was that the customer’s system could not handle a load of data processing, resulting in constant interruptions and customers unable to place orders, and employees unable to log into their enterprise profiles.

Our team was challenged to modernize a restaurant business management system with a shared server part and integrated applications for the restaurant staff and the customers.

After migrating to the new architecture, we created three applications, two for personnel and one for customers. Employee information had to be included in the enterprise application. The second application was intended to simplify the service process by displaying information about the reservation and the customer’s order and allowing them to transfer it to the kitchen. The customer app features a convenient interface for booking tables (and changing their locations), forming orders, leaving tips, and making payments.

The Innowise team decided to take the following steps to implement this platform:

Migrating Java Monolith to Go (BE) microservices.
Building a microservice architecture for service interaction.
Implementing three applications that are synchronized on the same server.
Creating a web application where employees can track their work information, including payroll information.
Creating an app for restaurant staff with customer service features.
Creating an app for customers with ordering, booking, and payment functions.
Implementing banking system integration for debit and credit card payments.

Solution: Restaurant mobile app solution and a proprietary CRM to streamline restaurant workflows

The principal goal for our team was to migrate the platform flawlessly to a new architecture. As a result, they had to build and enhance three systems to satisfy client and user requirements.

Since we were doing a complete migration, we had to remove Java services and create new ones for Golang. This resulted in the creation of a dependable microservice back-end architecture that enabled the synchronization of all apps. A great deal of effort has been invested in designing user-friendly interfaces and adding cutting-edge functionality.

Enterprise app

Our team has developed a CRM system that all company employees can access. The system allows users to track employees’ job data, such as their working hours, vacation time, and sick days. Because of the workers’ varied schedules, the customer also requested to build a payroll tracking tool.

Restaurant app

Our team has developed an app that enables restaurant staff to efficiently serve customers. If a customer is already seated in the restaurant, the staff can submit orders themselves and transmit them to the kitchen staff. The app can also be used to track reservations or orders that need to be made within a certain timeframe.

User app

The customer app is available on the App Store and Google Play. It allows users to create an account, search for local restaurants on a map, and place pickup orders. Other essential features included booking, modifying the layout, and pre-ordering. A payment feature was later added to the application. Tipping is also possible.

Technologies & tools

Back-end

Go, Gorilla Mux, Viper, Go-Celery, Mongo-Go, Go-Migrate

Front-end

Typescript, Redux, Jest, React

iOS

Swift

Android

Kotlin

Databases

MongoDB, Elasticsearch

Cloud

AWS

DevOps

Docker, Docker Compose, Kubernetes

CI/CD

Travis CI, Codefresh

Process

Innowise started development in 2020 based on the customer’s requirements for the project, and we used the Scrum methodology to track the development process. The process was divided into weekly sprints, and each sprint consisted of two phases where new features were added, and old bugs were fixed. Releases were made once every four sprints.

We used Jira to manage work, set tasks, and keep track of documentation, while Slack messenger was used for communicating with the client. The development team participated in market and competitor research. Therefore, our experienced team recommended migrating the existing project to microservices (BE) to increase performance. The most challenging part of the implementation was removing Java objects and services and converting them to Golang.

The migration took about a year, and all new changes were made in Go. We continue to support the product, adding new features and making changes as needed to meet the needs of the restaurant industry.

Team

Back-End developers

Front-End developers

DevOps developer

UI/UX designer

QA engineers

Mobile developers

Results: 60% increase in system performance as a result of a restaurant ecosystem upgrade

Innowise helped the company migrate from Java Monolith to Golang Microservices (BE). The flexibility and speed of this language made the migration to the new architecture seamless, and all of the data was migrated successfully. Our client now has a complete ecosystem of applications synchronized on a single server.

The enterprise app provides employees with access to job information. The restaurant process management application includes an interface that shows all seating arrangements and visitor orders. A customer-facing application is available for booking tables, placing orders, and making payments.

Our specialists have migrated the platform, which has led to a 60%+ improvement in performance and speed. Through the restaurant’s mobile ordering system, customers can place orders, pay for them, and place their orders without using a terminal. We continue to maintain the project, adding new features that make the ordering process even more flexible.

Project duration

2020 - Ongoing

60%

increase in system performance

30%

faster processing of orders and reservations

Related cases

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30% faster processing of orders and reservations after restaurant mobile app development

Customer

Challenge: Cumbersome monolithic system that struggled with data processing