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What does it do?

  • Parcel Sorting
  • Logistics
  • E-commerce Fulfillment
  • Warehouse Automation
  • Robotic Sorting

How is it used?

  • Integrate hardware
  • use AI robots for efficient parcel sorting.
  • 1. Choose A-Series or B-Series
  • 2. Use intelligent gripper tech
  • 3. Train in simulated environments
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Who is it good for?

  • Logistics Managers
  • E-commerce Fulfillment Specialists
  • Warehouse Automation Engineers
  • Parcel Sorting Supervisors
  • Robotic Systems Integrators

What does it cost?

  • Pricing model : Unknown

Details & Features

  • Made By

    Ambi Robotics
  • Released On

    2018-08-27

Ambi Robotics develops AI-powered robotic systems for parcel sorting and handling in industrial settings. Their technology enhances operational efficiency and scalability in logistics and e-commerce fulfillment centers through advanced generative artificial intelligence and robotics.

Key features:
- Ambisort A-Series: AI-powered robots for sorting small parcels to the last mile, compatible with bin or conveyor feeding
- Ambisort B-Series: Modular parcel induction and sorting system for larger parcels and bulky shipments
- Intelligent Gripper Technology: Advanced hardware enabling precise pick-and-place capabilities for handling diverse items
- Sim2Real AI: Simulation technology allowing for rapid training and immediate real-world deployment
- High Performance: Sorting over 500 parcels per hour with 99% accuracy and 99% uptime
- Cost Reduction: 40% decrease in sorting operation costs

How it works:
1. Generative AI simulates and predicts real-world scenarios
2. Robots train in simulated environments mimicking operational conditions
3. Hardware-agnostic systems adapt to various types of existing hardware
4. Neural networks and machine learning models support rapid processing and decision-making
5. Robots integrate into existing logistical and warehouse workflows

Integrations:
- Seamless integration with existing logistical and warehouse systems
- Compatible with various hardware systems due to hardware-agnostic design

Use of AI:
- Generative AI for simulation and prediction
- Machine learning for rapid processing and intelligent decision-making
- Neural networks for advanced pattern recognition and adaptability

Target users:
- Logistics companies
- E-commerce fulfillment centers
- Enterprises requiring efficient, high-volume parcel sorting solutions

How to access:
- Available as integrated hardware and software systems
- Not offered as standalone software applications
- Proprietary technology, not open source

  • Supported ecosystems
    Unknown
  • What does it do?
    Parcel Sorting, Logistics, E-commerce Fulfillment, Warehouse Automation, Robotic Sorting
  • Who is it good for?
    Logistics Managers, E-commerce Fulfillment Specialists, Warehouse Automation Engineers, Parcel Sorting Supervisors, Robotic Systems Integrators

PRICING

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Pricing model: Unknown

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