Implementation of efficient Customer Relationship Management (CRM) software is a business-critical issue that allows businesses to deal with intense competition. For two decades, Elinext teams have been delivering CRM solutions for clients operating in the banking and finance industry, ensuring their ability to connect with clients on a deeper level.
Elinext teams faced a challenging task to develop an application with voice analysis that would provide a call center with the ability to organize the working process in the most efficient manner, by understanding what their customers and employees really feel and think.
Elinext was contacted by German cryptocurrency startup with a business challenge to build a platform that would allow users invest their funds into a pool of Masternodes.
Elinext developed a modular software platform that allows life sciences companies to streamline the execution and commercialization of global clinical trials and collaborate on partnerships while reducing administrative burdens.
The client is a startup in Germany who wanted to create a bar promotion app that connects bars and restaurants with their visitors.
The project is a car auction platform where B2B clients can either sell their cars directly or enlarge a car fleet with cars placed for bidding.
Our client wanted to integrate an automated solution to its customer service department which processes a large number of requests on a daily basis.
The customer commissioned Elinext to perform ongoing full-cycle QA and testing of their product – a proxy-based website localization software, available in cloud and on-premises versions.
Our main task was to come up with an efficient and automated management solution helping to mitigate foreign currency risks.
Elinext developers and QAs have been involved in serious rework and refactoring of UI approaches, implementing integration with about 15 third-party products, adopting serious quality control processes and standards, developing and improving a great number of complicated algorithms and applications.
CRM had to be able to import financial data (customers’ transactions, daily prices, CUSIPs, etc.) and use them for calculation of customers’ account balances, bank commissions, etc.