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Keepers is a technologically advanced platform that automates cleaning services specifically for short-term rental properties. Keepers utilizes the on-demand economy to offer streamlined and effective housekeeping solutions.
The platform has an algorithmic management system and employs machine learning-powered photo-recognition technology to guarantee exceptional quality standards.
Company Valuation
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Keepers experienced considerable technological and operational obstacles that delayed their effectiveness and raised expenses. These concerns required immediate intervention to stabilize their platforms and improve their performance.
No specialized technical staff was available to handle problems.
More architectural and technical documents were needed.
Manual builds were being performed without continuous integration and continuous deployment (CI/CD) processes.
Inadequate database management techniques caused inefficient operations.
Cloud Firebase services incurred exorbitant monthly expenses.
Operations were being affected by the platform’s instability.
Comprehending Keepers’ requirements, we organized a senior-level team of highly experienced professionals to tackle their difficulties effectively.
Our strategy prioritized stabilizing existing platforms, enhancing documentation, and optimizing database practices to provide a strong and adaptable basis.
Action: Fix 18 major bugs to ensure a functional base.
Action: Use Miro tool to document process flows in detail.
Action: Establish automated building processes and correct branch management.
Action: Restructure the database with sub-collections for better performance and easier maintenance.
Our methodical approach resulted in significant enhancements in performance and reductions in costs for Keepers. The findings emphasize the importance of our efforts to improve operational efficiency and decrease expenses:
Increased platform efficiency and reliability by 50%.
Implemented a flexible and expandable framework, enabling Keepers to manage a 150% surge in user traffic without any decline in performance.
Achieved a 30% reduction in monthly Cloud Firebase expenses.
Achieved a 20% increase in user satisfaction scores through enhancements in the platform’s stability and performance.
Successfully addressed 18 significant defects, resulting in an 80% reduction in the backlog and enhancing the system’s reliability.
Developed extensive documentation and training resources, resulting in a 50% reduction in the time required to familiarize new developers with the system.
Enhanced database efficiency by 60%, accelerating query speeds and improving the user experience.
JavaScript
TypeScript
php
NodeJS
GoLand
AWS
SQS
Liquid
Cloud Firebase
Guesty API
Make Tool
Miro Tool
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