Logistics Productivity,
Boost with AI

Automated package sorting, automated label classification, and robotic picking systems
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Customer Testimonial

Vision AI is transforming logistics across multiple areas, from automating processes and improving efficiency to reducing labor costs and enhancing the customer experience. Using Vision AI, we quickly classified products by size, optimized their placement to reduce working hours, and maximized space utilization in warehouses—ultimately lowering costs.

"We faced challenges with arranging goods of various sizes and dimensions. Using Superb Platform, we built an AI model that classifies products by size, shape, and color, improving loading efficiency by up to 21.2%."

Logistics operations manager

We innovate logistics
using live field data

Superb AI customers are achieving significant results by leveraging our solutions across their logistics systems and supply chains.

93%

Classification accuracy

97%

Automated product detection rate

Superb AI logistics solutions enable
AI-powered automated logistics services
for advanced quality assurance and enhanced productivity

SOLUTION 01

Problem

"We needed to track the movements of various raw materials within the warehouse, recognize real-time stock consumption, distinguish active silos, and trace routes for inventory placement."

Solution

We built an AI-driven recognition and precision-matching system that integrates multi-source raw material data and processing workflows to optimize manufacturing process information. AI efficiently handled serial number recognition, movement path tracking, and silo identification with speed and accuracy.

LOGISTICS SOLUTION CASE 1
SOLUTION 02

Problem

"We wanted to build a logistics automation system that could automatically recognize and classify barcodes and labels of incoming boxes."

Solution

We implemented an AI-powered classifier to automate the process of rapidly capturing images of all four sides of each box, assigning unique IDs, extracting barcode images, and reading label information through OCR (Optical Character Recognition).

LOGISTICS SOLUTION CASE 2

A next-generation logistics automation platform
should be able to decode the complexity of logistics data
through AI

Production Process Optimization

processOptimization

Analyze data in real time to track product movement and optimize logistics operations, improving efficiency and ensuring transparency.

Next-Generation Logistics Automation

autoPicking

Leverage AI-powered automation solutions to accelerate warehouse operations and reduce operational costs.

Automated Product Recognition & Classification

autoClassification

Recognize and sort products in real time on assembly lines to improve processing speed and reduce errors.

Optimized Warehouse Space Utilization

warehouseOptimization

Leverage real-time data analysis to optimize product placement and maximize warehouse space efficiency.

Optimized Delivery Routes

transportationOptimization

Analyze vehicle routes and delivery schedules to optimize time and costs of delivery.

Real-Time Delivery Tracking & Monitoring

monitoring

Track package locations and delivery status in real time, ensuring quick responses to any issues during transit.

Deploy AI Anywhere
Use it in the way that best fits your on-site requirements

On-Premise, Edge

Pre-configured devices for immediate deployment and compatibility with existing on-site hardware
No internet access required

onPremiseAndEdge

Cloud

Convenient deployment using existing cloud infrastructure
or hosted APIs

cloud
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How can we help

We’ll show you how Superb AI can help :

  • Curate more effective datasets to improve model performance by >15%

  • Build more accurate computer vision datasets 10x faster

  • Train, diagnose, deploy AI models with just a few clicks

"Superb Platform has been extremely useful and the AI-driven data curation makes it even more ideal. The ability to curate datasets and curate mislabels allows us to quickly and effortlessly build high-quality datasets."

autonet

Blaine Bateman, Chief Data Scientist

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