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400+ App Integrations via Zapier & n8n
Helping Businesses Across Industries
End-to-End Automation Zero Manual Handoffs
200 Happy Clients Worldwide
Delivering Excellence Since 2019
AI Workflow Automation with n8n & LangChain
WhatsApp Business Automation & AI Chatbots
24/7 Voice AI Agents Always On, Never Missed
Intelligent AI CRM & Lead Management Systems
Real-Time Business Dashboards & Analytics
AI Customer Support Resolve Tickets Instantly
Custom Internal Tools Built for Your Team
Powered by OpenAI, LangChain & Cutting-Edge AI
400+ App Integrations via Zapier & n8n
Helping Businesses Across Industries
End-to-End Automation Zero Manual Handoffs
200 Happy Clients Worldwide
Delivering Excellence Since 2019
AI Workflow Automation with n8n & LangChain
WhatsApp Business Automation & AI Chatbots
24/7 Voice AI Agents Always On, Never Missed
Intelligent AI CRM & Lead Management Systems
Real-Time Business Dashboards & Analytics
AI Customer Support Resolve Tickets Instantly
Custom Internal Tools Built for Your Team
Powered by OpenAI, LangChain & Cutting-Edge AI
400+ App Integrations via Zapier & n8n
Helping Businesses Across Industries
End-to-End Automation Zero Manual Handoffs
Case Study
Mobile

Recall Ranger

Implemented a robust notification system designed to deliver highly targeted user alerts, including state-specific food recall updates that keep users informed about relevant safety concerns in real time. The system leverages deep linking capabilities to ensure a seamless user experience, allowing recipients to navigate directly to the relevant section within the app with a single tap. This approach improves engagement, reduces friction, and ensures that critical information is accessed quickly and efficiently.

To enhance personalization and relevance, the platform enables users to receive alerts based on their selected state, ensuring that notifications are precise and meaningful rather than generic. This state-wise filtering mechanism helps users stay focused on information that directly impacts them, improving both usability and trust. The notification flow is designed to be timely and reliable, ensuring that users are promptly informed about important updates without unnecessary delays.

Additionally, the integration of RevenueCat subscriptions introduces a monetization layer that offers premium features to subscribed users. Through this system, users can unlock advanced capabilities such as customized state-wise recall filtering and exclusive alert access. This not only provides added value to users but also creates a sustainable revenue model, balancing functionality with business growth while maintaining a smooth and secure user experience.

FlutterflowDartFirebase
mobile
healthcare-fitness
Recall Ranger screen 1
Recall Ranger screen 2
Recall Ranger screen 3
Our Services
What We Build

See It In Action

Real screens from the shipped product crafted for an intuitive, smooth, and delightful user experience.

Recall Ranger screen 1
Recall Ranger screen 2
Recall Ranger screen 3
Recall Ranger screen 8
Recall Ranger screen 9

Challenges & Solutions

01

FlutterFlow has limited support for advanced deep linking, making it difficult to handle notification payloads consistently across Android and iOS while ensuring users land on the correct recall detail screen.

Implemented a custom deep-link handling mechanism that parses notification payloads, validates the recall identifier, and redirects users to the corresponding recall details page after app launch or resume. Added fallback navigation logic to handle invalid or expired payloads gracefully, ensuring a reliable user experience across all app states.
02

Maintaining personalized recall filtering while enforcing subscription access without exposing premium content to non-subscribed users.

Designed a centralized filtering workflow that stores each user's selected state and dynamically filters recall data accordingly. Integrated RevenueCat entitlement validation before enabling premium state-wise filtering and notification preferences, ensuring secure feature access across the application.
03

Efficiently matching recall locations with thousands of users' notification preferences while avoiding duplicate or irrelevant notifications.

Built a notification pipeline that compares affected recall states against each user's saved preference before dispatching notifications. Implemented notification deduplication and payload validation to ensure users receive only relevant alerts, improving engagement while minimizing unnecessary notifications.
04

Managing subscription states consistently across multiple platforms while handling purchase restoration, entitlement synchronization, and subscription expiration.

Integrated RevenueCat as the centralized subscription provider to manage purchases, entitlement verification, and restore flows. Implemented reactive subscription listeners that automatically update feature availability throughout the application without requiring users to restart the app.

Key Features

01

Targeted User Notifications :

  • State-Based Alerts :  Notifications based on selected regions.
  • Relevant Updates : Deliver timely and specific information.
  • User Engagement :  Keeps users informed and connected.
02

Deep Linking Integration :

  • Page Redirection : Sends users to specific app pages.
  • App Store Fallback : Redirects if the app isn’t installed.
  • Seamless Navigation : Smooth user experience across links
03

State-Based Food Recalls :

  • Relevant Alerts : Shows recalls for the selected state.
  • Timely Updates : Keep users informed of food safety issues.
  • User-Specific Info : Personalized to user location.
04

Subscription Integration :

  • RevenueCat Support : Manage subscriptions seamlessly.
  • In-App Purchases : Easy subscription handling.
  • User Access Control : Unlock premium features smoothly.
05

State-Wise Recall Filtering :

  • Exclusive Access : Available to subscribed users only.
  • Location-Based Filters : View recalls by state.
  • Personalized Updates : Get relevant food safety alerts.
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