Ai Smart Chain
  • Overview
    • 📪Abstract
    • 📎Introduction
    • 📈Tokenomics
  • Fundamentals
    • 🗣️Background
    • 🔦The Problems
    • 💡Our Solution
  • Platform Architecture
    • 🖇️The Ai Smart Chain Layers
    • ❕The Ai Smart Chain Main Utility
    • ❔Other Utilities
      • 1. Predictive Maintenance
      • 2. Inventory Optimization
      • 3. Route Optimization
      • 4. Quality Control
      • 5. Fraud Detection
      • 6. Risk Management
  • The Chain
    • ⛓️Ai Smart Chain Testnet
Powered by GitBook
On this page
  1. Fundamentals

The Problems

  • Lack of transparency: chain systems lack transparency, making it difficult for chain partners to access real- time information about the movement of goods.

  • Inefficiencies: Centralized systems often result in inefficiencies such as delays, errors, and high costs.

  • Lack of trust: The current systems lack trust among blockchain partners, which can result in disputes and a lack of collaboration.

  • Lack of Predictive analytics: The current systems lack the ability to provide predictive analytics and optimize processes, chains are not able to anticipate potential bottlenecks, shortfalls, and other issues.

PreviousBackgroundNextOur Solution

Last updated 2 years ago

🔦