Building Google Local Offers: Technical Components and Workflow
Google Local Offers requires a location-aware mobile app, a robust backend system for offer management, and a real-time push notification service. Key components include GPS integration, local storage for caching, RESTful APIs for data exchange, and a scalable database for storing user preferences and offer details.
Introduction
The challenge of creating Google Local Offers involves developing a location-based service that delivers timely, relevant discounts to users based on their proximity to stores. This requires seamless integration of various technical components to ensure real-time responsiveness, data accuracy, and a smooth user experience. Our approach will focus on building a scalable architecture that can handle high volumes of location data and push notifications while maintaining performance and user privacy.
Tip
Ensure that the technical solution aligns with business objectives of increasing foot traffic to stores and improving user engagement with local businesses.
Step 1
Clarify the Technical Requirements (3-4 minutes)
Why it matters: Determines the development approach and potential code reuse. Expected answer: Target both platforms with equal priority. Impact on approach: Would consider using React Native or Flutter for cross-platform development.
Why it matters: Affects the scalability and reliability of our notification system. Expected answer: No existing system, need to implement new. Impact on approach: Would need to evaluate cloud messaging services like Firebase Cloud Messaging or Amazon SNS.
Why it matters: Influences our choice of database technology and hosting solutions. Expected answer: Data must be stored within specific geographic regions. Impact on approach: Would consider using a geo-distributed database like Google Cloud Spanner or Amazon Aurora Global Database.
Why it matters: Balances user experience with technical performance. Expected answer: Accuracy within 50 meters is sufficient. Impact on approach: Would implement a combination of GPS and network-based location services with adaptive polling.
Assumptions:
- We'll be developing for both iOS and Android platforms.
- We need to implement a new push notification system.
- Data storage must comply with regional regulations.
- Location accuracy within 50 meters is acceptable.
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