Description
Artificial Intelligence (AI) is increasingly relied upon to improve operational efficiency and effectiveness of a broad spectrum of industries. Supply Chain Management (SCM) is a critical logistics function for most modern enterprise. AI is being integrated into SCM solutions to improve everything from process automation to providing greater visibility into static and real-time data. AI in SCM market also improves related management information systems. Accordingly, the AI in supply chain management market represents a substantial opportunity for many software-driven and data-oriented companies.
AI in Supply Chain Management Market Dynamics
Modern supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer. SCM solutions are typically manifest in software architecture and systems that facilitates the flow of information among different functions within and between enterprise organizations. Leading AI in SCM market solutions catalyze information sharing across organizational units and geographical locations, enabling decision-makers to have an enterprise-wide view of the information needed in a timely, reliable and consistent fashion.
In addition to fully automated decision making, AI systems are also leveraging various forms of cognitive computing to optimize the combined efforts of artificial and human intelligence. For example, AI in SCM is enabling improved supply chain automation through the use of virtual assistants, which are used both internally (within a given enterprise) as well as between supply chain members (e.g. customer-supplier chains). The combination of AI tools (such as machine learning) and cognitive computing will be powerful for the AI in supply chain management market.
AI in Supply Chain Management Market Report
This report provides detailed analysis and forecasts for AI in SCM by solution (Platforms, Software, and AI as a Service), solution components (Hardware, Software, Services), management function (Automation, Planning and Logistics, Inventory Management, Fleet Management, Freight Brokerage, Risk Management, and Dispute Resolution), AI technologies (Cognitive Computing, Computer Vision, Context-aware Computing, Natural Language Processing, and Machine Learning), and industry verticals (Aerospace, Automotive, Consumer Goods, Healthcare, Manufacturing, and others).
This is the most broad and detailed report of its type, providing analysis across a wide range of go-to-operational process considerations, such the need for identity management and real-time location tracking, and market deployment considerations, such as AI type, technologies, platforms, connectivity, IoT integration, and deployment model including AI-as-a-Service (AIaaS).
Each aspect evaluated includes forecasts from 2021 to 2026 such as AIaaS by revenue in China. It provides analysis of AI in SCM globally, regionally, and by country including the top ten countries per region by market share. The report provides analysis of leading companies and solutions that are leveraging AI in their supply chains and those they manage on behalf of others, with evaluation of key strengths and weaknesses of these solutions. It assesses AI in SCM by industry vertical and application such as material movement tracking and drug supply management in manufacturing and health care respectively. The report also provides a view into the future of AI in SCM including analysis of performance improvements such as optimization of revenues, supply chain satisfaction, and cost reduction.
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