System Engineering

System Engineering

We realize that a ground-up approach is important when tackling any type of systems engineering project. This begins by fully understanding the client’s requirements as well as their overall vision. This information can then be taken into consideration when adapting a specific strategy for project completion. During the initial consultation, we define aspects such as appropriate architecture, technical feasibility, economic goals, and processes for efficiently integrating any new work into a client’s current processes.

Our systems engineering experts place an increasing emphasis upon both machine learning and deep learning methods. While these principles have been in existence for some time, it was not until relatively recently that such methods have been employed in the world of real-time website development and engineering. Whether referring to something like image recognition or an enhanced level of Business Intelligence (BI), the benefits of such systems are very real indeed.

We utilise advanced software implementation methodologies in order to define, collate, integrate and ultimately execute actions within a web-based project. Once again, the specific design of this architecture will be molded to the requirements of the customer, and through this malleable approach we have the ability to meet exacting demands without sacrificing functionality. It should also be mentioned that Artificial Intelligence (AI) has a role within this architecture. AI can help to build client loyalty, to address their desires in a more personalized fashion, and ultimately help the site owner appreciate how specific strategies may be impacting on the overall engagement process. 

The key to success in terms of our overall systems engineering approach is having the capability to utilize these concepts simultaneously. In some ways, these concepts can be viewed as the core of what we accomplish at freshcells. However, there is still much more than meets the eye in terms of what we can offer our travel-related customers.