+91 88578 53138 info@codexxa.in Pune Β· Bengaluru Β· Mumbai
AI Solutions

Warehouse Automation with AI & Robotics

Transform your warehouse operations with AI-powered automation. From robotic picking to intelligent inventory management β€” reduce errors by 99%, increase throughput by 300%, and cut operational costs by 40-60%.

60+ warehouse automation projects delivered
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Robots Active 24/24
Throughput +340%
Error Rate 0.1%
⚑ 340% Faster
🎯 99.9% Accuracy
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300%+ Throughput Increase

AI-powered robotic systems handle 3-5x more orders per hour vs manual picking and packing.

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99.9% Accuracy Rate

Computer vision and AI validation reduce picking errors from 5% to under 0.1% β€” eliminating costly returns.

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40-60% Cost Reduction

Automation reduces labor costs, error-related costs, and returns processing β€” with ROI in 18-24 months.

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24/7 Operations

Robots work round the clock without fatigue β€” enabling same-day fulfillment even during peak seasons.

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Scalable Architecture

Add robots and modules as demand grows β€” the system scales horizontally without redesign.

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Real-Time Visibility

Complete digital twin of warehouse operations β€” track every item, robot, and order in real-time.

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Robotic Picking & Packing

AI-guided robotic systems that pick, sort, and pack items with human-like precision β€” powered by computer vision and reinforcement learning.

  • Autonomous item recognition & localization
  • Adaptive grasping for various item types
  • Real-time path planning & obstacle avoidance
  • Seamless human-robot collaboration
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Computer Vision Quality Control

AI-powered visual inspection that detects damage, defects, and incorrect items before shipping β€” reducing returns by 80%.

  • Real-time defect detection on conveyor
  • Barcode & label validation
  • Counting & completeness checks
  • Integration with returns management
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Smart Inventory Management

AI-powered inventory tracking with RFID, computer vision, and autonomous drones β€” achieving 100% inventory accuracy.

  • Real-time stock level monitoring
  • Autonomous cycle counting drones
  • RFID-based item-level tracking
  • Dead stock prediction & alerts
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Automated Sorting & Dispatch

Intelligent sorting systems that route packages to correct destinations based on AI-optimized logic β€” handling 10,000+ items/hour.

  • Dynamic routing based on destination
  • Weight & dimension capture automation
  • Carrier-specific sorting lanes
  • Peak season auto-scaling
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Computer Vision

Real-time object detection, classification, and quality inspection.

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Robotic Control

Autonomous navigation, grasping, and task execution.

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ML Optimization

Demand forecasting, slotting optimization, and routing.

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IoT Integration

Sensor networks, RFID, and real-time operational dashboards.

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ABB & KUKA Robots

Industrial-grade robotic arms for picking and placing

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YOLO Vision

Real-time object detection for item recognition

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RFID & IoT Sensors

Item-level tracking and environmental monitoring

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SLAM Navigation

Autonomous robot navigation with obstacle avoidance

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Cloud WMS Integration

Connect with SAP, Oracle, Manhattan, and custom WMS

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Digital Twin

Real-time simulation and operational dashboards

1
Assessment

Analyze current operations, identify automation opportunities

2
Design

Architect solution with robot selection and layout planning

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POC

Proof of concept in sandbox environment

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Integration

Connect with WMS, ERP, and existing systems

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Go Live

Deploy, monitor, and optimize with ML feedback loops

β‚Ή1.2Cr
Annual Savings
70%
Less Manual Work
95%
Fewer Errors
180%
Projected ROI

What's the typical ROI timeline?+

Most warehouse automation projects achieve ROI within 18-24 months. The exact timeline depends on current labor costs, order volumes, and error rates. We provide detailed ROI projections during the assessment phase.

Can it work with our existing WMS?+

Yes, our automation layer integrates with all major WMS platforms including SAP EWM, Oracle WMS, Manhattan Associates, and custom systems. We also offer our own cloud WMS if needed.

Do we need to replace all equipment?+

No, we follow a phased approach. Our AI layer can work with existing conveyor systems and racks β€” we only add robotic cells, sensors, and software. This minimizes capital expenditure and reduces risk.

How long does implementation take?+

Typical implementation takes 16-24 weeks: 4 weeks for assessment, 4-6 weeks for design and procurement, 4-8 weeks for integration and testing, and 4-6 weeks for go-live and optimization.

Ready to Automate Your Warehouse?

Get a custom warehouse automation solution for your business β€” no commitment required.

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