Over the course of the past year, organizations across the globe have faced unprecedented economic challenges. The impact of the systematic collapse of the banking industry has been felt worldwide. Even China, the global leader in manufacturing, is reporting a rapidly deteriorating economic situation; Chinese factories are scaling down production to combat the rising inventories that their customers are now carrying due to reduced consumer demand. But China is not alone. Enterprises across the globe are taking steps to ward off financial distress and ride out the economic turbulence.
No one, of course, is happy about the pain caused by the global recession, yet there may be a positive side to the current situation. Companies now have an opportunity to go beyond simple cost cutting and realign to improve their spend management practices— that is, the methods by which they control the money they spend and manage the activities associated with external purchases. By doing so, they can achieve sustainable savings that can not only help them weather today's economic storm but also ensure the health of their businesses long after the recession ends.
A dynamic process
Conversations with procurement and finance executives around the globe over the past several months indicate that companies have focused their efforts on reducing costs, accelerating their return on investment (ROI), and improving efficiencies. Some are adopting tactics like closing manufacturing plants and laying off workers, which are static, short-term reactions to periods of slowing demand and volatile market conditions.
Spend management, by contrast, provides a continuous, dynamic process for meeting an organization's changing business requirements. A formal spend management strategy lets companies more efficiently analyze opportunities for savings, identify opportunities to choose the right suppliers, enter into favorable contracts, monitor compliance, and evaluate supplier performance in relation to an organization's long-term objectives.
Concurrently, spend management technology streamlines, links, and integrates an organization's procurement processes. Examples of software solutions within the spend management category include spend analysis, contract management, and sourcing management. These solutions help enterprises analyze, manage, consolidate, control, and track spend data—often across multiple languages, sources, and currencies. These capabilities enhance visibility, reduce costs, increase savings, and improve contract and government/enterprise compliance.
When executed properly, a spend management program helps companies accelerate ROI and improve the bottom line—even during uncertain economic conditions. This is borne out by the results of a recent Aberdeen Group study, which found that spend management initiatives helped global corporations increase their contract compliance by 30.6 percent, yield savings of 92 percent from improved sourcing activities, and boost their return on investment by some 40 percent.1
The value of visibility
For many companies, visibility provides the missing piece needed to develop a spend management strategy. In the current economic environment, it is especially critical that enterprises have visibility across their expenditures and their contracts. This gives them the ability to proactively monitor compliance with those contracts. It also allows them to capitalize on the negotiated contract terms, which might include terms and conditions that could reduce the price they currently are paying for a product, commodity, or service.
That was the case for a 350-year-old conglomerate in Europe with operations in more than 40 countries. The company faced severe challenges to the profitability of its businesses, including increasing global competition, the emergence of private labels, rising raw material prices, and stagnating market development. The company's competitors, meanwhile, were bringing in new suppliers from low-cost areas.
By implementing an enterprisewide spend management strategy, the conglomerate was able to identify and address the significant overlap that existed across its sourcing groups and develop a strategy that leveraged its size and scale. The artificial intelligencebased spend-analysis solution the company implemented exploited the benefits of scale and facilitated the optimization of resources and knowledge across the many segments of the organization, providing:
Harmonized information in a common sourcing hierarchy;
Centralized data capture at the transactional level;
Consistent data extraction, classification, and analysis; and
Sustainable, routine spend visibility and analysis.
The company subsequently was able to narrow its supplier base from well over 1,000 to just 0.4 percent of the original number. It also achieved savings by identifying and contracting with the most cost-efficient suppliers globally. Bottom line? The implementation of a successful spend management strategy ultimately contributed 68 percent of the overall savings in a cost management initiative across several business units, resulting in an increase in overall EBITDA (earnings before interest, taxes, depreciation, and amortization) exceeding 16 percent.
Spend analysis and transparency
The right spend management strategy helps global organizations effectively analyze, source, and contract their spend. (See Figure 1.) The first of those steps, spend analysis, is defined by the Institute of Supply Management as the process of identifying a company's current spend to determine what is being spent, with whom, and for what. The output of a spend-analysis exercise is a summary of purchases by various variables, such as category, supplier, and business units. With the average US $500-million company estimated to have 20,000 to 40,000 contracts under management, it is easy to understand why this step is so important.
Effective spend analysis fosters transparency, or the sharing of accurate data and information with all organizations and departments to support fact-based decision making and execution. As one large biotechnology pioneer found out, this is difficult to achieve when operations are spread across the globe. The biotech company's management recognized that the rate of accuracy in its spend classification was very low. One reason was that, because of the nature of its distributed enterprise operations, it took several weeks to perform any kind of global spend analysis. The situation was further complicated by having multiple vendors and classification systems in many countries, resulting in a lot of guesswork and inaccuracies in the data. In fact, the company estimated that 50-70 percent of all spend-related data in its systems was incorrectly classified.
To rectify the situation, the biotech firm deployed a spend-analysis solution with automated classification and analytics capabilities. The software required little formal training to use and supported multiple languages. These were important considerations because the company's spend was spread across 34 countries and facilities. By using a single, automated solution worldwide, the company has greatly increased the accuracy and consistency of its spendanalysis data and made it easier to share that information throughout its supply chain. By improving data accuracy and accessibility, moreover, the company was able to improve users' and stakeholders' perceptions of the validity of the information. In addition, the enterprise has seen greater adoption of spend management practices in all its major departments. The company estimates that the classification and analytics solutions will save at least 10 percent of its total global spend, equating to several millions of dollars in savings over time.
Take a holistic approach
What factors lead to the success of a formal spend management program? There are several, but perhaps the most important are gaining executive-level support, deploying easy-to-use technology, and achieving enterprisewide adoption.
Chief procurement officers are, of course, the best leaders to undertake spend management initiatives. But executive support at the highest level is also important because it encourages companies to adopt a holistic approach that encompasses the entire enterprise and represents their shared short-term and longterm objectives. Placing sole ownership of spend management within a single department, such as purchasing, can make it more difficult to achieve enterprisewide adoption and maximize benefits.
In addition, spend management solutions that are easy for global organizations to access, use, and understand are critical if a company is to achieve widespread adoption. These solutions will be used by many individuals in many organizations, with varying skill levels and languages. The development of the software- as-a-service (SaaS) deployment model reduces the total cost of ownership and the implementation time, so that users can get up and running quickly when multiple sites and countries are involved.
In tough times such as these, an effective spend management program could reduce a bad economy's impact on an enterprise. And even when economic factors are less severe, the kinds of business improvements and savings provided by spend management solutions will continue to improve shareholder value and provide a competitive advantage.
No doubt market conditions will continue to require companies to take difficult, short-term actions, such as plant closings and layoffs. Still, a holistic approach that focuses on managing a company's overall spend will provide the greatest gain— both in the short term and over the long term. By implementing a sustainable spend management program that provides a "single version of the truth" that is accessible to all users, companies will enjoy financial benefits in both good times and bad.
Endnote: 1.Spend Analysis: Pulling Back the Cover on Savings,
Aberdeen Group, October 2008.
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
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.