Bacancy

Bacancy represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates and the Society to Rise™.

12+

Countries where we have happy customers

1050+

Agile enabled employees

06

World wide offices

12+

Years of Experience

05

Agile Coaches

14

Certified Scrum Masters

1000+

Clients projects

1458

Happy customers

Overview

LogiTech company required a mobile application to optimize delivery routes and track real-time shipments. The project integrated an AI agent with React Native to enhance operational efficiency and provide predictive insights.

Technical Stack

  • React Native
  • TensorFlow
  • Node.js
  • MongoDB

    • Industry

    Logistics

  • region

    • Region

    South America

  • project-size

    • Project Size

    Non- Disclosable

Highlights

Reduced delivery times by 20%.

Improved customer satisfaction with real-time tracking.

Enhanced operational efficiency through AI-driven insights.

Scalable solution supporting future growth.

High user engagement and retention.

Comprehensive analytics for business insights.

Challenges & Solutions

Integrating an AI agent with the React Native framework presented a unique challenge. The AI must operate seamlessly within the mobile application to provide real-time processing without compromising performance or user experience.

  • Solution: Our developers crafted a seamless integration plan for the AI agent with the React Native framework, using custom APIs for swift and secure data exchange. Through rigorous performance testing and optimization, we ensured real-time processing without lag, enhancing user experience and operational efficiency.

The challenge was to design a scalable architecture that could accommodate growth without sacrificing performance or reliability.

  • Solution: Our developers designed a scalable, cloud-based architecture using microservices, allowing independent scaling of application components. This modular design ensured the system could efficiently handle increased traffic and data volume.

Maintaining data accuracy was critical to predicting optimal delivery routes and reducing delivery times.

  • Solution: Our development team deployed advanced ML algorithms to analyze historical and real-time data, enabling precise route predictions. We enhanced the accuracy of the predictions over time by continuously refining the models with new data. Our developers implemented a feedback loop within the system, allowing it to learn from previous inaccuracies and improve future recommendations.

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12+

Years of Business
Experience

1458+

Happy
Customers

12+

Countries with
Happy Customers

1050+

Agile enabled
employees

Core Features

  • Real-time shipment tracking.
  • AI-driven route optimization.
  • Push notifications for updates.
  • Detailed analytics dashboard.
  • no.-of-resources

    • No. of Developers

    07

  • time-frame

    • Time Frame

    6 Months

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