Magnit. The survey app

Magnit is a Russian retail holding company. The chain includes 14,231 "close to home" and city stores, 466 supermarkets and hypermarkets, 5,187 drogeries, 294 pharmacies, one alkomarket, and 14 wholesale stores. In total Magnit has 20,193 outlets, the number of employees is about 300 thousand.

Diagnostic methods for technical structures in the company "Magnit" were outdated. As a consequence, the assessment of the object took a long time, and the final estimation of repair and construction work contained incorrect data and harmed the client's business.

Automate the process of collecting data of the technical condition of the object, as well as to minimize the risk of forming incorrect data in the final estimate of repair and construction work.

We researched a large number of similar services, but none of them fully solved the client's problem.

In the process of research we tried on the role of all participants in the process, worked through the key scenarios and conducted a series of interviews with the target audience.

As a result, we had a hypothesis that the key features of the product should be: - Forming a flexible, nonlinear survey structure; - monitoring of the completed tasks.

The target audience for the product is: 1) administrators who generate questionnaires and send out assignments; 2) the performers who perform the tasks.

To solve the problem, it was necessary to develop a service consisting of an admin panel and a mobile application.

Admin panel: - Creating and adjusting questionnaires; - monitoring of completed tasks; - setting up automatic generation of reports And mailing management.

Mobile application: - receiving tasks; - filling out questionnaires.

We developed optimal data storage models, calculated the best format of data exchange between the backend server and the mobile application.

Particular attention was paid to the reliability of data storage on the backend server given the sharp increase in the number of system users after launch - the best solution was to use technologies: Node.js Restify/TypeScript PostgreSQL

Omega's UX designers took care of a simple and efficient interface based on React/TypeScript and Redux technologies. MAGNIT protects users from confusing hierarchies, while the flexibility and adaptability of the admin panel interface that allows you to create surveys of any nesting.

We took care of the risks of data tampering, so we designed the mobile app on Kotlin with mandatory offline caching and data encryption.

The mobile client is integrated with the client's MDM solution from VMware (AirWatch). Due to the need to integrate the server with corporate ActiveDirectory, developing this solution required not only coordinated teamwork of Backend and Mobile developers, but also a strong involvement of the client's IT department. On this project our team gained experience working with MDM solutions, studied their peculiarities of integration and operation.

A survey designer was created so that the construction department can collect data on the necessary resources for the opening of new Magnit stores.

The "bureaucracy" in gathering information about the necessary resources and allocating the budget is significantly reduced.

All costs are calculated 4 times faster, and decisions become less risky and more efficient.

Our team worked quickly and smoothly, fulfilling all the tasks just in time.

The client set goals, which were eventually achieved: 1. Reducing the time required to open retail outlets by reducing the number of iterations to agree on the scope of work. 2. Reducing the time frame for the preparation of documents by the civil engineer. 3. Completion of all necessary information on the site.