Technology Category
- Application Infrastructure & Middleware - Event-Driven Application
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Telecommunications
Applicable Functions
- Product Research & Development
Use Cases
- Inventory Management
- Time Sensitive Networking
Services
- Training
About The Customer
Beegle serves two key user personas: help seekers and help providers. Help seekers are individuals who need assistance with chores and errands at home and work. They can be anyone from busy professionals to senior citizens who need support with tasks such as grocery shopping, medicine pick-up, and hospital check-ups. Help providers are individuals, skilled or unskilled, who are registered and ready to help on an hourly basis. They can be people skilled in cooking, gardening, driving, plumbing, etc., or helpers who can perform tasks that do not necessarily require a technical skillset. Many of these help providers are people such as domestic help or office help who lost their jobs due to COVID-19.
The Challenge
Beegle, an India-based app, was founded by two professionals in product management and operation business who faced the challenge of finding a technical co-founder. They wanted to create a platform where people could find assistants to help with chores and errands at home and work. The goal was to match the needs posted with people, skilled or unskilled, who are registered and ready to help on an hourly basis. The challenge was to build this platform without any coding, and to accommodate rapid market reactions. They also wanted to provide opportunities for people such as domestic help or office help who lost their jobs due to COVID-19, by bridging the gap between them and those needing help.
The Solution
The solution was found in Bubble, a powerful no-code platform. Bubble allowed the Beegle co-founders to build their app without any coding, and to accommodate rapid market reactions. The app works by allowing people seeking help to browse through a directory of helpers, post a need specifying their requirements, and make a payment for the booking. A backend engine helps find the right match for them. People providing help can post their basic details and undergo training on customer interaction and COVID-19 safety guidelines. The co-founders have rolled out several design variations of their application to adapt to market reactions. They have also built a robust backend operations management system to serve incoming needs in a short period of time.
Operational Impact
Quantitative Benefit
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