Hayyat is one of the producers of high quality and excellent taste purified drinking water in Turkmenistan. They have a laboratory at their disposal where specialists achieve a balance of microelements necessary for humans and are engaged in quality control
The company "Arassa Nusga" was tasked with developing a website, competent filling of the resource with content and automation of business processes
- Logo ERP Tiger 2 licensed management accounting system implementation;
- Development of exclusive business intelligence tools based on Big Data;
- Provision of train-consulting events on familiarization with the use of tools on business tools;
- Site development business cards;
- Development of a mobile app for the manager on management reporting (stocks, sales, credits, money, cash and bank);
What we did
Automation:
• ERP
Logo ERP (Accounting System) program introduction allowed: to control and monitor inventory, plan stocks, simplify document flow and minimize manual work, excluding errors, connected with human factor.
Site-card:
Arassa Nusga company prepared and visually designed a business card site for a company producing purified drinking water. The site includes: information about the company, contact form, services and contact form module in three languages (Russian, English, Turkmen)
• SEO
A number of works on site promotion on the Internet and indexing the site in search engines
• WEBP
Optimization of graphics, integration of modern image formats
• Adaptivity
Web pages look great on a PC or laptop as well as on mobile devices and tablets
Mobile App:
An application has been prepared and developed for internal use by Altyn Yunus employees. In terms of its functionality, it has a wide range of features for all employees. Information in the application is differentiated by levels of access depending on the position held
• Dashboards
The development of dashboards allowed managers and employees to save time for more important tasks than filling out spreadsheets. It also provided the correctness and transparency of the data