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Artificial Intelligence in Supply Chain Market Research Report Detailed Analysis 2022| Research Informatic
Artificial intelligence (AI) is a technology that enables machines, software, and frameworks to rival human intelligence and behavior here and there. A framework that utilizations complicated algorithms to analyze information and play out numerous tasks is at the heart of AI. Artificial intelligence has many applications in the production network, including data extraction, data analysis, organic market planning, and the operation of autonomous vehicles. It can also access warehouse methods to further develop item sending, getting, putting away, picking, and management.
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Global Artificial Intelligence in Supply Chain Market: Segmentation Analysis
By Offerings
• Hardware
• Processors
• MPU
• GPU
• FGPA
• ASIC
• Memory
• Network
• Software
• AI Platforms
• AI Solutions
• Services
• Deployment & Integration
• Support & Maintenance
By Technology
• Machine Learning
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Computer Vision
• Context Awareness
• Natural Processing Language (NLP)
By Applications
• Fleet Management
• Supply Chain Planning
• Warehouse Management
• Virtual Assistant
• Risk Management
• Freight Brokerage
• Others
By End-User
• Automotive
• Aerospace
• Manufacturing
• Retail
• Healthcare
• Consumer-Packaged Goods
• Food & Beverages
• Others
Geography
• North America
• Europe
• APAC
• RoW
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Key Players:
• Amazon Web Services
• project44.
• Deutsche Post AG
• FedEx
• GENERAL ELECTRIC
• Google LLC
• IBM
• Intel Corporation
• Coupa Software Inc..
• Micron Technology
Key Developments in the Artificial Intelligence in Supply Chain Market: -
• To describe Artificial Intelligence in Supply Chain Introduction, product type and application, market overview, market analysis by countries, market opportunities, market risk, market driving force
• To analyze the manufacturers of Artificial Intelligence in Supply Chain, with profile, main business, news, sales, price, revenue and market share
• To display the competitive situation among the top manufacturers in Global, with sales, revenue and Artificial Intelligence in Supply Chain market share
• To show the market by type and application, with sales, price, revenue, market share and growth rate by type and application
• To analyze the key countries by manufacturers, Type and Application, covering North America, Europe, Asia Pacific, Middle-East and South America, with sales, revenue and market share by manufacturers, types and applications
• To analyze the manufacturing cost, key raw materials and manufacturing process etc.
• To describe Artificial Intelligence in Supply Chain sales channel, distributors, traders, dealers etc.
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Impact of COVID-19 on Artificial Intelligence in Supply Chain Market
The COVID-19 pandemic has had a wide-ranging influence on governments, businesses, and organizations that have had to adjust to situations they have never faced before. The economic data is growing bleaker by the week, markets are shifting, and unemployment claims are rising. Fiscal and monetary reaction and the credit industry were among the earliest and most widely debated topics. Supply networks throughout the world, on the other hand, have been shattered for a different cause. The difficulty in gathering in large crowds, factory closures, retail shop closures, increasing demand for specific commodities, and shifting and changing business models have a significant influence on supply chains throughout the world.
Detailed TOC of Global Artificial Intelligence in Supply Chain Market Research Report 2022
1 Report Overview
2 Global Growth Trends
3 Competition Landscape by Key Players
4 Artificial Intelligence in Supply Chain Breakdown Data by Type
5 Artificial Intelligence in Supply Chain Breakdown Data by Application
6 North America
7 Europe
8 Asia-Pacific
9 Latin America
10 Middle East & Africa
11 Key Players Profiles
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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