Data Optimization for Mobile

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Functional Requirements: Data Optimization for Mobile
1. Payload Minimization & Compression
To ensure the fastest possible data transfer over 4G/5G and unstable networks.
  • JSON Field Stripping: Implement Selective Fields in API responses (e.g., via GraphQL or Query Params) to return only the data needed for the current view, avoiding "Over-fetching."
  • Gzip/Brotli Compression: Enable advanced server-side compression for all JSON payloads to reduce transfer size by up to 70-80%.
  • Protobuf Integration (Optional): For high-frequency real-time data (like stock prices or chat), use Protocol Buffers instead of JSON to achieve binary-level efficiency.
2. Intelligent Image & Media Handling 
Images typically account for 90% of a shopping app's bandwidth.
  • WebP/Avif Conversion: Automatically convert all product images to WebP or AVIF formats via a Cloud Image Processing service (e.g., Cloudinary, AWS Lambda) for superior quality-to-size ratios.
  • Dynamic Resizing (On-the-fly): Request images with specific dimensions based on the user's device screen density (e.g., @2x@3x for Retina displays) to avoid downloading oversized files.
  • Lazy Loading & Blur-up: Implement Intersection Observer logic to load images only when they enter the viewport, using low-res "Blur-up" placeholders during the transition.
3. Advanced Caching Strategy
Reducing the number of round-trips to the server.
  • Multi-layer Caching:
    • Level 1 (Memory): In-app RAM caching for frequently accessed data (User profile, Cart count).
    • Level 2 (Disk): Persistent storage (SQLite/MMKV) for offline access to product catalogs and search history.
    • Level 3 (CDN): Global Edge Caching for static assets and infrequently changed API responses.
  • ETag / Conditional Requests: Use ETags to check if data has changed on the server before downloading the full payload again, saving bandwidth for returning users.
4. Network Resilience & Prefetching 
  • Predictive Prefetching: Analyze user behavior to "pre-warm" data for the next likely screen (e.g., pre-loading product details when a user hovers over or scrolls to a product card).
  • Offline First Mode: Enable core functionalities (browsing previously loaded items, drafting reviews) to work seamlessly without an active internet connection.
  • Request Prioritization: Ensure critical data (Price, Buy Button) is loaded before non-essential elements (Reviews, Recommendations).
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