ValueCoders has to revamp the complete website in order to meet the specific requirements the client had. First of all, we analysed the former website in order to check the functionalities. We understood the changes required to be made and fixed the timeline. First of all we decided to redesign the complete website. When it was done, we redesigned the entire database structure using SQL Server 2012. When the client was satisfied with the designs, we started our development process with MVC 5 and jQuery.
After the site was developed, it was time for migrating the old database with the new one. The 3rd party payment integration was done. We added a few amazing functionalities like putting special features for the differently abled travellers, adding options for making it a customised tour and more. Overall, our developers at ValueCoders build a fast loading, high graphics eCommerce site that ensured high revenue and better customer experience.
Our client is a renowned name in the Travel industry of Iceland. They offer a complete range of tours and travels packages for different kind of customers all across Iceland. Their website was earlier static in nature only useful to get contact details and it was not able to provide all the functionalities they required. Hence they planned to develop an e-store that is able to load fast and provide customers a better experience. That’s why they hired ValueCoders at the first place. Moreover, they wanted to add a few functionalities along with the development process.
When they hired us, we were provided with the following requirements:
However, we overcame the challenges with our technical expertise. The former site was slow to load because of it’s data fetching system. We made separate year wise indexing using SQL table partitioning algorithm which made it easier to fetch data from the server in less time. We did structure mapping with JSON Api and synchronized with local search engine to make it easier to get data access. We applied a custom based online/offline sync process for better job scheduling. Moreover, we called Google Api to fetch Agent data from Google sheet.
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