The real estate property investment advisory firm wants to leverage new generation technologies to increase the accuracy and predictability of investment opportunities. They also wanted to create innovative new revenue streams using their historical knowledge and database.
The customer wanted to develop an investment analysis software for real estate investors, incorporating historical learning. To predict the future investment opportunities accurately, they also wanted to import the historical data from their legacy system. The entire solution is envisaged as a cloud-based SaaS solution with mobile and web client applications. The software should be designed to incorporate new prediction models as plugins. Additionally, the customer wanted to include an outcome-based revenue model.
Long-term contract to provide one-stop software development services working as an extended Engineering R&D wing of the customer. Trenser team comprised of cloud, mobile, and web developers. The multi-skilled team followed an agile development model covering the complete development cycle, including the incremental product rollouts and migration of existing clients to the new platform.
