MODEX show sponsor MHI released its 2020 edition of the Annual Industry Report during Wednesday morning's keynote. Developed in conjunction with Deloitte Consulting for the seventh consecutive year, the findings of "Embracing the Digital Mindset: Connecting Data Talent and Technology in Digital Supply Chains" were discussed by a panel including:
George Prest, CEO of MHI
Thomas Boykin, a leader of Deloitte Consulting's Supply Chain Network Optimization practice and lead researcher of the MHI Annual Industry Report
Arpana Brahmbhatt, U.S. Industry Solutions - Manufacturing for Microsoft
Randy V. Bradley, Assistant Professor of Information Systems and Supply Chain Management, Haslam College of Business, The University of Tennessee
Rick Faulk, CEO of Locus Robotics
After a brief introduction from Prest highlighting respondent demographics, Boykin overviewed the key findings of the survey. Notably, 80 percent of respondents said that the digital supply chain will be the industry's dominant model within the next five years, "and 20 percent say it's the dominant model right now," Boykin said.
As with previous reports, this year's survey queried participants on current and anticipated adoption rates and investment in 11 different digital technologies:
3D Printing
Artificial Intelligence (AI)
Blockchain
Cloud Computing & Storage
Driverless Vehicles & Drones
Internet of Things (IoT)
Inventory & Network Optimization
Predictive Analytics
Robotics & Automation
Sensors & Automatic Identification
Wearable & Mobile Technology
"The digital technology most used currently by 59 percent of respondents is cloud computing and storage; 90 percent say they will adopt it within five years," noted Boykin. "Robotics and automation are currently in use by 39 percent, with 68 percent saying they will adopt those technologies within one to two years, and 72 percent planning to adopt them in the next five years. Additionally, while only 28 percent currently use predictive analytics, 82 percent say they will be doing so in five years."
In terms of the degree of expected impact of each of the technologies, the biggest jump was in robotics and automation, he continued. "Last year it was fifth place in terms of its potential for disruption or to create a competitive advantage; this year it jumped to first from 67 percent of respondents."
As for investment in digital technologies over the next 24 months, 50 percent plan to invest up to $1 million; 25 percent plan to spend up to $5 million; and five percent will invest $50 million or more. "Investment in digital supply chain technologies is increasing and fairly heavy," commented Boykin.
Supply chain challenges keeping leaders up at night have not changed much over the past seven years. "The high competition for talent remains the biggest challenge, with 57 percent saying their organization struggles to hire and retain qualified workers," he continued. "That's followed by rising customer expectations for faster, better, and cheaper service."
Among the solutions to the talent shortage, 55 percent of companies say they are either reskilling their existing workforce or promoting from within. Another 48 percent have implemented job training and mentoring programs; and 46 percent are partnering with educational institutions to identify and cultivate potential candidates.
"Data and technology are what's driving and will empower the supply chain of the future, but no single technology alone will do that. It will take a combination of the 11 highlighted technologies in the report—but talent is the key," said Boykin.
In keeping with the theme of the report, the panelists discussed multiple ways that data, technology, and talent can be connected to address these supply chain challenges.
New in this year's report, a follow-on to last year's Supply Chain Digital Consciousness Index—a self-assessment offered to companies to help them measure the level of digital mindset within their operation (dormant, developing, heightened, or elevated) across five key digital capabilities: leadership, talent, customer engagement, workforce environment, and innovation/technology. This year companies can leverage a toolkit to help them develop an action plan for their digital supply chain journey. First step is to take the survey to identify where a company is along that maturity curve.
"The toolkit allows you to develop a tactical action plan in terms of where you are to where you'd like to be. We encourage everyone to seek that out and take that self-assessment," said Boykin.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.
The practice consists of 5,000 professionals from Accenture and from Avanade—the consulting firm’s joint venture with Microsoft. They will be supported by Microsoft product specialists who will work closely with the Accenture Center for Advanced AI. Together, that group will collaborate on AI and Copilot agent templates, extensions, plugins, and connectors to help organizations leverage their data and gen AI to reduce costs, improve efficiencies and drive growth, they said on Thursday.
Accenture and Avanade say they have already developed some AI tools for these applications. For example, a supplier discovery and risk agent can deliver real-time market insights, agile supply chain responses, and better vendor selection, which could result in up to 15% cost savings. And a procure-to-pay agent could improve efficiency by up to 40% and enhance vendor relations and satisfaction by addressing urgent payment requirements and avoiding disruptions of key services
Likewise, they have also built solutions for clients using Microsoft 365 Copilot technology. For example, they have created Copilots for a variety of industries and functions including finance, manufacturing, supply chain, retail, and consumer goods and healthcare.
Another part of the new practice will be educating clients how to use the technology, using an “Azure Generative AI Engineer Nanodegree program” to teach users how to design, build, and operationalize AI-driven applications on Azure, Microsoft’s cloud computing platform. The online classes will teach learners how to use AI models to solve real-world problems through automation, data insights, and generative AI solutions, the firms said.
“We are pleased to deepen our collaboration with Accenture to help our mutual customers develop AI-first business processes responsibly and securely, while helping them drive market differentiation,” Judson Althoff, executive vice president and chief commercial officer at Microsoft, said in a release. “By bringing together Copilots and human ambition, paired with the autonomous capabilities of an agent, we can accelerate AI transformation for organizations across industries and help them realize successful business outcomes through pragmatic innovation.”