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Smart Temperature Monitoring with Sabz Organics App

The Client.

With the Sabz Organics mobile app, temperature control is a breeze with a simple and clean speedometer view of the sensor data or detailed graphs. Users are privileged to fixed and variable filters for real-time, monthly or date-specific analysis of the data with an interactive format. The attributes of precision and simplicity proposed by this app lead to better approaches in data visualization and easy monitoring.

  • Industry
    Agriculture
  • Tech Stack
    React Native, REST API
  • Country
    USA

Challenges We Faced.

Complex Data Interpretation: Raw temperature data poorly informed the users and hence they had difficulties in monitoring them.

Limited Visualization Options: Previous approaches did not offer an appealing visual interpretation of the data, which complicates the identification of patterns.

User Engagement: Users were unable to engage with data in a way that would help them respond to change, which was a problem.

Solutions We Provided.

Intuitive Interface: Introduced an intuitive interface which provides visibility of temperature data and enhances its monitoring.

Dynamic Visualization Options: Added both speedometer-style and graph view to improve data readability.

Customizable Filters: Introduced latest features for real-time, monthly, and date-based analysis, so users can adjust the results according to their needs.

Engaging Data Presentation: Converting simple numbers into visual-appealing insights that can be used to monitor and prevent issues.

Services Involved

  • Custom App Development
  • Data Visualization Design
  • IoT Integration

Technology.

  • React Native
  • REST API

Screenshots.

Result.

Improved Data Understanding

By making temperature data easy to comprehend, users can make better decisions.

Enhanced User Engagement

The customers are now more responsive and satisfied with the system due to the easy-to-understand navigation and graphic display.

Efficient Monitoring

Flexible filtering options enable users to track temperature changes and react to them promptly.

In this case study

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