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Artificial Intelligence

Global Artificial Intelligence in Supply Chain Management Market Analysis Report 2023-2028: AI in SCM Market will Drive Higher ROI, Improved Process Efficacy and More Efficient Operations

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Dublin, April 04, 2023 (GLOBE NEWSWIRE) — The “Global Artificial Intelligence in Supply Chain Management Market by Technology, Processes, Solutions, Management Function (Automation, Planning & Logistics, Inventory, Risk), Deployment Model, Business Type, and Industry Verticals 2023-2028” report has been added to ResearchAndMarkets.com’s offering.

AI in SCM solutions as a whole will reach $17.5B globally by 2028

This is the broadest and most detailed report of its type, providing analysis across a wide range of go-to-operational process considerations, such as 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 2023 to 2028 such as AIaaS by revenue in China. It provides an analysis of AI in SCM globally, regionally, and by country including the top ten countries per region by market share. The report also provides an analysis of leading companies and solutions that are leveraging AI in their supply chains and those they manage on behalf of others, with an 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 healthcare 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.

Modern supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer. Supply Chain Management (SCM) solutions are typically manifest in software architecture and systems that facilitate the flow of information among different functions within and between enterprise organizations.

Leading SCM 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. Various forms of Artificial Intelligence (AI) are being integrated into SCM solutions to improve everything from process automation to overall decision-making. This includes greater data visibility (static and real-time data) as well as related management information system effectiveness.

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). It is anticipated that virtual assistants in SCM will leverage an industry-specific knowledge database as well as company, department, and production-specific learning.

AI-enabled improvements in supply chain member satisfaction causes a positive feedback loop, leading to better overall SCM performance. One of the primary goals is to leverage AI to make supply chain improvements from production to consumption within product-related industries as well as create opportunities for supporting “servitization” of products in a cloud-based “as a service” model. AI will identify opportunities for supply chain members to have greater ownership of “outcomes as a service” and control of overall product/service experience and profitability.

With Internet of Things (IoT) technologies and solutions taking an ever-increasing role in SCM, the inclusion of AI algorithms and software-driven processes with IoT represents a very important opportunity to leverage the Artificial Intelligence of Things (AIoT) in supply chains. More specifically, AIoT solutions leverage the connectivity and communications power of IoT, along with the machine learning and decision-making capabilities of AI, as a means of optimizing SCM by way of data-driven managed services.

Select Report Findings:

  • The Asia Pac region is the largest and fastest-growing for AI in SCM
  • Cloud-based AI-as-a-Service for SCM will exceed $3.7B globally by 2028
  • AI SCM in edge computing for IoT enabled solutions will reach $6.12B by 2028
  • Artificial Intelligence of Things is emerging as a major enabler of SCM optimization
  • Material movement and tracking is the largest sub-segment within AI SCM in manufacturing
  • AI-enabled supply chains are over 67% more effective with reduced risk and lower overall costs

Market Dynamics

  • Companies with Complex Supply Chains
  • Logistics Management Companies
  • SCM Software Solution Companies

Technology and Solution Opportunities

  • Leverage Artificial Intelligence
  • Integrate AI with Existing Processes
  • Integrate AI with Existing Systems
  • Integrate AI with Internet of Things
  • Leverage AIoT Platforms, Software, and Services
  • Leverage Data as a Service Providers

Implementation Challenges

  • Management Friction
  • Legacy Processes and Procedures
  • Outsource AI SCM Solution vs. Legacy Integration

Key Topics Covered:

1. Executive Summary

2. Introduction
2.1 Supply Chain Management
2.2 AI in SCM

3. AI in SCM Challenges and Opportunities
3.1 Market Dynamics
3.2 Technology and Solution Opportunities
3.3 Implementation Challenges

4. Supply Chain Ecosystem Company Analysis
4.1 Vendor Market Share
4.2 Top Vendor Recent Developments
4.3 3M
4.4 Adidas
4.5 Amazon
4.6 Arvato SCM Solutions
4.7 BASF
4.8 Basware
4.9 BMW
4.10 C. H.Robinson
4.11 Cainiao Network (Alibaba)
4.12 Cisco Systems
4.13 ClearMetal
4.14 Coca-Cola Co.
4.15 Colgate-Palmolive
4.16 Coupa Software
4.17 Descartes Systems Group
4.18 Diageo
4.19 E2open
4.20 Epicor Software Corporation
4.21 FedEx
4.22 Fraight AI
4.23 H&M
4.24 HighJump
4.25 Home Depot
4.26 HP Inc.
4.27 IBM
4.28 Inditex
4.29 Infor Global Solutions
4.30 Intel
4.31 JDA
4.32 Johnson & Johnson
4.33 Kimberly-Clark
4.34 L’Oreal
4.35 LLamasoft Inc.
4.36 Logility
4.37 Manhattan Associates
4.38 Micron Technology
4.39 Microsoft
4.40 Nestle
4.41 Nike
4.42 Novo Nordisk
4.43 NVidia
4.44 Oracle
4.45 PepsiCo
4.46 Presenso
4.47 Relex Solution
4.48 Sage
4.49 Samsung Electronics
4.50 SAP
4.51 Schneider Electric
4.52 SCM Solutions Corp.
4.53 Splice Machine
4.54 Starbucks
4.55 Teknowlogi
4.56 Unilever
4.57 Walmart
4.58 Xilinx

5. AI in SCM Market Case Studies
5.1 IBM Case Study with the Master Lock Company
5.2 BASF: Supporting Smart Supply Chain Operations with Cognitive Cloud
5.3 Amazon Customer Retention Case Study
5.4 BMW Employs AI for Logistics Processes
5.5 Intelligent Revenue and Supply Chain Management
5.6 AI-Powered Customer Experience
5.7 Rolls Royce uses AI to Safely Transport Cargo
5.8 Robots Deliver Medicine, Groceries and Packages with AI
5.9 Lineage Logistics Company Case Study

6. AI in SCM Market Analysis and Forecasts 2023-2028
6.1 AI in SCM Market 2023-2028
6.2 AI in SCM by Solution 2023-2028
6.3 AI in SCM by Solution Components 2023-2028
6.4 AI in SCM by Management Function 2023-2028
6.5 AI in SCM by Technology 2023-2028
6.6 AI in SCM by Industry Vertical 2023-2028
6.7 AI in SCM by Deployment 2023-2028
6.8 AI in SCM by AI System 2023-2028
6.9 AI in SCM by AI Type 2023-2028
6.10 AI in SCM by Connectivity
6.11 AI in SCM Market by IoT Edge Network 2023-2028
6.12 AI in SCM Analytics Market 2023-2028
6.13 AI in SCM Market by Intent Based Networking 2023-2028
6.14 AI in SCM Market by Virtualization 2023-2028
6.15 AI in SCM Market by 5G Network 2023-2028
6.16 AI in SCM Market by Blockchain Network 2023-2028
6.17 AI in SCM by Region 2023-2028

7. Summary and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/gz8rv2

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.


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Artificial Intelligence

Dongfa Group’s Gas Scenario + Digital Twin Technology, Leads the Industry with New AI Trend

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–Highlights of the 2024 Exhibition
SHANGHAI, May 23, 2024 /PRNewswire/ — From May 17 to 19, 2024, China(Shanghai) International Metrology Measurement Technology and Equipment Exhibition was held at the Shanghai World Expo Exhibition and Convention Center. Dongfa Group participated in the exhibition, showcasing its latest research achievements. At the expo, Chairman Liu Ming of Dongfa Group conducted the lighting ceremony and announced the official launch of the “Smart Gas Comprehensive Supervision Platform,” demonstrating the convenience and efficiency achieved through the smart management of municipal gas meters.

Dandong Dongfa (Group) Co., Ltd., established in 1962 and headquartered in Singapore, was formerly known as Dandong Thermal Instrument Co., Ltd. As an integrated group company engaged in research, production, and operations, Dongfa Group is dedicated to the development and application of instruments and meters. Its product range includes IC card gas meters, wired direct-reading remote diaphragm gas meters, wireless direct-reading remote diaphragm gas meters, NB-IoT IoT meters, and ultrasonic gas meters. These products incorporate the technical features of similar domestic and international products, offering high accuracy, reliability, and stability, making the company a leading smart gas meter manufacturer in China.
At the expo, Dongfa Group showcased its Smart Gas Comprehensive Supervision Platform, which integrates AI, IoT, cloud computing, and big data. This platform connects the topological structure of all aspects of gas operations and consolidates all relevant data involved in production management and operation maintenance. This integration enhances the comprehensive research and development and operational maintenance capabilities of the big data governance system.
At the same time, Dongfa Group is empowering comprehensive management and control with digital twins, AI, and big data. By leveraging digital twins, AI models, and 5G technology as data elements, the company is constructing a unified citywide network and a digital twin map of the gas pipeline network. This enables deep integration of AI monitoring, pressure and leakage detection, smart terminals, and other sensing devices with gas operations, ensuring the comprehensive safety and supply of urban gas.
Digital twin gas technology not only provides auxiliary support for pipeline design, but also plays a crucial role in intelligent emergency response and precise distribution. Especially in the operation of gas stations, it enables comprehensive real-time monitoring, intelligent integrated operation scheduling, proactive warning, emergency event command plans, and other effects, thereby improving the efficiency and safety of gas management.
However, there have been numerous incidents of data leakage involving smart AI devices in recent years. Sensitive data is being collected or even sold by malicious actors, leading to the disclosure of confidential information, resulting in significant economic losses and even legal risks.
To ensure the security of both enterprise and user data, Dongfa Group utilizes Digital Envelope technology to encrypt and decrypt data packets during data collection and distribution. This approach combines the advantages of both symmetric and asymmetric encryption technologies for secure information transmission, enabling fast, efficient, and secure encryption and decryption processing for the smart gas digital business sector. This ensures the security and integrity of data during transmission.
Visitors at the expo showed strong interest in the new products and technologies exhibited by Dongfa Group. Dongfa Group has always been committed to driving the development of the smart instrumentation industry through technological innovation. Through this exhibition, the company not only showcased its technical prowess but also strengthened communication and collaboration with industry peers. Looking ahead, they aim to join hands in opening a new chapter in the smart instrumentation industry.
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Artificial Intelligence

QNAP S3-compatible Storage Solution “QuObjects” Certified as Veeam® Ready – Object with Immutability

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TAIPEI, May 23, 2024 /PRNewswire/ — QNAP® Systems, Inc., a leading computing, networking, and storage solution innovator, today announced that its S3-compatible object storage solution “QuObjects” has qualified as Veeam® Ready – Object with Immutability, applicable for QNAP NAS with QTS and QuTS hero operating systems. This certification underscores the reliability of QuObjects as a secure object backup solution for enterprises, enhancing data management efficiency and upmost security.

QuObjects is the S3 object storage solution for QNAP NAS, boasting read/write speeds 20 times faster than conventional cloud services, along with a highly flexible and scalable architecture to ensure efficient transmission and flexibility in object storage. From object service development to demanding workloads like machine learning and data lakes, QuObjects assists enterprises in achieving diverse application needs with higher cost effectiveness.
QuObjects supports Object Lock to ensure data immutability, further safeguarding against ransomware threats, cyberattacks, or human error. Coupled with access controls and authentication features, it provides comprehensive protection for object data security.
Jimmy Tam, Product Manager of QNAP, stated “Data security is critical for enterprises. With QuObjects certified by Veeam Ready – Object with Immutability, we empower organizations leveraging Veeam solutions to confidently opt for QNAP NAS for on-prem S3 object storage and backup, enjoying rapid transmission, extensive scalability, and steadfast security.”
QNAP is the preferred partner for Veeam object backup solutions. Learn more at Veeam Ready Object Partner and QNAP QuObjects- S3 Object Storage.
For more information and to view the full QNAP NAS lineup, please visit www.qnap.com.
Photo – https://mma.prnewswire.com/media/2413244/PR_image_QNAP_x_Veeam_Ready_en.jpg

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Tencent Announces Winners of Flagship CarbonX Program to Combat Climate Change

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SHENZHEN, China, May 23, 2024 /PRNewswire/ — Tencent (00700.HK) is awarding 13 exceptional teams that won the first phase of its groundbreaking CarbonX Program, which is aimed at boosting promising new climate technologies. The winners, which emerged from a pool of 30 finalists and more than 300 initial applications, will receive a total of around RMB 100 million (US$14 million) in financial support from Tencent. It showcases the company’s commitment to driving sustainable social innovations in the fight against climate change.

CarbonX was launched in March 2023 to advance the next generation of low-carbon technologies. Tencent has committed RMB 200 million (US$28 million) in catalytic funding over the next three years to innovative ideas that might otherwise languish or fail to gain traction.
CarbonX’s first phase focused on carbon capture, utilization, and storage (CCUS), as well as technology-based carbon removal. These solutions were chosen for their unique ability to curb emissions from hard-to-abate industries such as steel and cement, mitigate the continued reliance on fossil fuels, and reduce legacy emissions created from decades of industrialization.
Backed by Tencent’s mission of Tech for Good and an alliance of like-minded industry partners, CarbonX aims to help these cutting-edge technologies make the leap from the research or early startup stage to commercial scale. The ultimate goal is supporting them in making a significant impact toward the targets outlined in the Paris Agreement, which includes a 45 percent reduction in emissions by 2030 and achieving net-zero emissions by 2050.
Dr. Hao Xu, Tencent’s Vice President of Sustainable Social Value and Head of Tencent’s Carbon Neutrality Lab, said: “Technology innovation serves as the driving force to accelerate our progress toward achieving carbon neutrality. CarbonX program is aimed at fostering the growth of these technologies, driving positive impact across society, and laying the groundwork for a more sustainable future.”
Professor Jerry Yan, Chair Professor of the Hong Kong Polytechnic University and Co-chairman of the CarbonX expert committee, said: “To pave the path for a greener economy, we must champion the development of cutting-edge low-carbon technologies. Just as solar and wind power were nurtured in their infancy, emerging solutions like CCUS and tech-based carbon removal demand our early support.”
The program assembled a panel of experts from academia, industries, and the investor community as the jury, and welcomed submissions from diverse participants across three distinct tracks:
CarbonX Lab: Designed to incubate research institutions, universities, or labs that bring in game-changing climate solutionsCarbonX Accelerator: Designed to accelerate the growth of climate-tech startups that exhibit commercialization potentialCarbonX Infrastructure: Designed to support capacity building to facilitate industry developmentThe finalists comprise four projects from the Lab track, six from the Accelerator track, and three from the Infrastructure track. These projects explore innovative solutions, such as using steel slag to capture and store carbon directly from furnace exhaust, converting CO2 into sustainable aviation fuel and valuable chemicals through electrochemical reactions or microorganisms, and employing new approaches to directly capture CO2 from the atmosphere with the hope of slashing the cost to less than US$150 per ton.
Meanwhile, Tencent is also collaborating with Tsinghua University to develop a comprehensive system of Measure, Reporting and Verification (MRV) tools to accurately gauge progress toward decarbonization.
Aside from receiving financial and advisory support, several projects will also have the opportunity to collaborate with industry partners and test their research beyond the laboratory setting.
Building upon the success of the first phase, Tencent is poised to launch the second iteration of CarbonX globally as early as later this year in pursuit of early-stage climate tech innovation.

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