challenge
Our client, a global logistics company, needed a partner to introduce their first Azure-based customer-facing application. They wanted to create a central portal where customers could view their scheduled trailer requests and submit ad hoc requests in the event of volume spikes. Previously, requests were managed via phone and fax using processes defined by each dispatch location. This created an inconsistent customer experience across the brand and had significant administrative overhead. Additionally, speed-to-market was essential on this engagement as none of their competitors had a similar application, so they wanted to be the first to market with it.
solution
Our Scrum-as-a-Service® team built an industry-first, customer-facing application built in .NET and Angular and deployed in Azure that allowed customers to submit, update, view and filter trailer requests. During the course of the project the team was able to pivot to other application areas in order to remove blockers and high priority backlog items in order to maintain momentum on the trailer reservation project. Because our client had no established method of communicating between internal and external facing applications, data exchange between our application and the client’s internal application was essential for our application to function.
results
Our client was the first to market with an application of this type, giving them an edge over their competitors as well as a unified and corporate branded customer experience. Our team was able to deploy a customer facing enterprise application in seven months using a multidisciplinary approach of front-end, back-end, quality assurance and DevOps engineers. Because the team was capacity based rather than project based, it was able to shift work to the items of highest priority in order to clear development bottlenecks for dependencies in other application areas adjacent to the application being developed. Our team was able to use knowledge gained through the development of the initial MVP release to continue into a second year of feature development.
Data Mining and Machine Learning Empower Sparq to Better Select Their Newest Locations
Sparq needed a better, more analytical way to efficiently target the most promising American cities to establish a local presence. We took on the challenge of using a unique combination of results from both data mining and machine learning approaches applied against purchased third-party data to evaluate tens of thousands of data points across 59 mid-sized cities.
Rearchitected eCommerce Platform Increases Revenue, Stability and Speed
A leading automotive eCommerce site needed to make major improvements to its online platform to gain more market share. In just eight months, Sparq revamped their outdated architecture and moved from on-premise to the Cloud (AWS). The new site could now be viewed from any device, was more user friendly and visually appealing, and showed a 15% improvement in speed.
Anti-money Laundering Solution Helps FinTech Company Stay Compliant
At risk of being out of Financial Crimes Enforcement Network (FinCEN) compliance, our FinTech client needed to adjust how they audit and track suspicious financial activity. The company needed a partner with experience working in heavily regulated financial institutions to create a new system or risk major consequences to their bottom line.
Leading Streaming OS Provider Positions to be Leading Home OS Provider
Our client, a leader in smart TV operating systems, was looking to introduce a suite of products that would be a natural extension of their business and make them a leader in a second industry. These products would integrate things like home monitoring, custom lighting and smart power at a better value than what had previously been on the market. Our client needed to test their new devices in a broad array of consumer environments and complete end-user testing scenarios quickly in order to meet their tight launch deadline.