Healthcare
Client Profile
Our client aims to reach every African household with a bouquet of comprehensive healthcare services.
Our solution aims to tackle the lack of availability of medical services in the region through our machine-learning enabled diseases prediction services, helping users preempt serious medical situation in time.
Business Scenario
After understanding client requirements through initial meetings, we convened upon developing ML algorithm for disease prediction, setting-up end-to-end product development life cycle. Rapid feature deliveries as well was expected from Prowerse to make MVP more appealing to early adopters.
We knew that client was on a tight budget with limited timeline and was then dealing with multiple freelancers with negligible control and coordination between them and that with our client.
Prowerse Approach
PROWERSE WORKED ON FOUR PARALLELS TO SPEED UP EARLY MV PRELEASE
- Firstly, defined & developed ground work for diseases prediction algorithm
- Secondly, finalized on PWA as choice of app stack. This allowed us to combine Android, iOS, Web & Admin portals into one single source offering, enabling client to roll out quick weekly updates to enhance MVP's desired impact
- Thirdly, ensured set up of cloud infra IT infrastructure, and CI-CD pipelines to make release cycles shorter and more effective
- Importantly, streamlined communication channels with existing freelancing units and delivering towards one common objective
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Customer Review
Prowerse is best suited for emerging brands eying quality deliveries at optimum costs. Glad we found them. Can't speak higher of any other brand.
Value Propositions
Rapid Productization: Shortened release cycles by 75% to 1 week to delivery freshly build features in MVP
Cost Reduction: About 45% reduction in engineering costs
Enhanced Delivery Efficiency: Helped client present more APT business case in front of investors and early adopters
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