/Transpectra

Primary LanguageJavaScript

Transpectra - Streamlining Logistics End-to-End

Overview

Transpectra is designed to streamline and automate warehouse and supplier management processes. With a robust frontend interface and planned integration of advanced technologies like ULIP APIs and AI-powered forecasting, this platform provides real-time inventory tracking, supplier communication, and optimized route planning for logistics efficiency.

Features

  • Real-Time Inventory Tracking: Track the status of inventory across multiple warehouses in real-time.
  • Supplier Management: Manage and communicate with suppliers directly through the platform.
  • Route Optimization: Plan the most efficient routes for delivery to reduce time and fuel costs.
  • End-to-End Automation: From order placement to final delivery, the system automates the entire supply chain process between manufacturers, warehouses, and retailers (future integration).
  • AI-Powered Demand Forecasting (Planned): Predict inventory demand using AI, reducing overstock and shortages.
  • Advanced Dashboard: Provides key performance indicators (KPIs) such as delivery time improvements, cost savings, and order accuracy and data in form of interactive charts.

Future Development

  • Retailer Integration: Expanding the system to automate operations between warehouses and retailers, completing the full supply chain cycle.
  • Yard Management System Integration: Integrating Yard management system to fully automate the system.

KPIs (Key Perfromance Indicators)

  • Delivery Time Improvement: 15-20% (Projected)
  • Fuel and Cost Savings: 10-12% (Projected)
  • Reduction in Order Errors: 18% (Projected)
  • Inventory Turnover Rate: Tracks how often inventory is restocked.
  • On-Time Delivery Rate: Percentage of deliveries arriving on or before the expected date.
  • Order Fulfillment Accuracy: Percentage of orders fulfilled without errors.

Technologies Used

  • Frontend: React.js, Tailwind CSS, React Native for user-friendly interface.
  • Backend (Planned): Node.js with Express for API development and MongoDB for database management along with Django for integrating AI models
  • Authentication: JWT tokens for secure user login and authentication.
  • AI Models Used: Facebook Prophet, LSTM, gemini-1.5-pro
  • ULIP APIs Required: Vahan API, Saarthi API, DGFT API, IIMB API, NICDC API, E-way Bill API, Digilocker API