HoReCa

POS Insighter

Industry

HoReCa

Duration

10 months

Categories

Technologies

Python

Platforms

Web

Team

Project Manager, Business Analyst, Web developers, Data Scientist, Quality Assurance specialist

Goal

Implementing analysis of data collected from POS-terminal systems via API, as well as from csv-files provided by user with the purpose of optimization of restaurant operations.

Solution

We have created a powerful web app that does not require any installation. It just works online. Actually POS Insighter project consists of two related services. The first service provides data collection, process and storage, and the second one is about visualization of the data in a form easily readable for the user with flexible filtration by time, product, table, waiter, etc. Based on the results of analysis user can improve operations of his restaurant in different ways. Our team has been engaged in working out a new system to collect and process user data on the orders and products. Two services have been developed for the project, the first of which is an asynchronous service intended for collecting and parsing user data. The system could be connected to the various POS terminals as well as accept and process CSV data. The design of the service allows integration of new data sources and is easily scalable. The second service is actually the site used to manage user data and reflect analytical results. It provides interactive graphs to display information, supports flexible filtration system and is used to set different access levels for the users.

Main Challenge

- The complexity of working and processing great amount of data connected with restaurant business. - Providing as many indicators as possible based only on the data that are taken from POS terminal.

Features

- System shows objective data about the work of restaurant - Based on these indicators, restaurant owner is able to make decisions of how to improve the efficiency and profit of business

Competitive Advantage

POS Insighter provides deep analytics for restaurants, such as Restaurants insights, Time analysis, Revenue analysis, Combinations, Menu engineering, Employee analysis, Workload analysis and Table analysis, etc.