Manufacturers, merchant wholesalers, and retailers have been facing an extremely challenging economic and financial environment over the past few years. Key among their concerns: an unexpected decline in sales combined with an increase in the inventories-to-sales ratio. While this situation is typical during a recession, the nature of both of these conditions was qualitatively different than it was for previous post-World War II recessions.
An unexpected sales decline in combination with an increase in the inventories-to-sales ratio typically implies an unexpected inventory accumulation and a reduction in demand. This stems from the inability of businesses to adjust inventory levels and prices. ("Unexpected" sales or inventories-to-sales ratios are defined as the difference between the forecast and the actual.)
It's important to note that different types of companies have different capacities for dealing with unexpected inventory accumulations. Wholesalers and retailers usually are better able to manage them because they can initiate the cancellation of orders, implement price discounting, and get better and faster feedback from their customers. Manufacturers, on the other hand, have to be concerned about production cycles and assembly lines and therefore manage two different types of inventories: input inventories (work-in-progress, raw materials, and intermediate goods) and finished goods.
A different kind of recession
By examining the inventory and sales levels over the past 14 years, we can see how the two most recent recessions (2001 and 2007) differed from one another in terms of which types of business were affected as well as the severity of the downturn.
The 2001 recession (March 2001 through November 2001), also known as the "Dot-Com Recession," was driven by a downturn in business spending rather than by a drop in housing or consumer spending. Business investment adjusted for inflation suffered significant declines, however housing starts hardly moved and personal spending and retail sales, when adjusted for inflation, actually increased.
In the months leading into the 2001 recession, retail sales growth slowed and wholesale sales fell a bit, but manufacturing sales saw a relatively sharp decline as shown in Figure 1. This decline caused greater inventory accumulation (Figure 2) and a sudden rise in the inventoriesto- sales ratios (Figure 3). While manufacturing sales adjusted for inflation just barely surpassed its pre-2001 recession peak, wholesale sales, retail sales, and imports from China kept chugging along.
In contrast, the "Great Recession" (December 2007 through June 2009) and the subsequent anemic recovery have dramatically affected almost every aspect of the U.S. economy. This past recession was much more severe and qualitatively different than the previous post-World War II recessions. The impact on manufacturers was devastating, causing an almost 20-percent decline in real sales and an unprecedented spike in the inventories-to-sales ratio, as seen in Figures 1 and 3, respectively. While retailers and wholesalers fared relatively "better" leading up to and during the Great Recession, they did experience an approximate 12- percent decline in sales from peak to trough (see Figure 1). But they managed to reduce their inventory holdings through heavy price discounting and canceling orders of Chinese imports.
How strong a recovery?
Since the official end of the Great Recession in June 2009, the economic recovery has been relatively anemic by historical standards, with significant weaknesses in such key sectors of the economy as housing and household net worth. It has taken three years for retail sales and personal spending adjusted for inflation to finally surpass their previous peaks. Real wholesale sales are still slightly below their pre-Great Recession peak, while the manufacturing sector is struggling to make a full recovery.
The manufacturing recovery would be even weaker if not for a substantial increase in U.S. exports due to relatively strong growth in some emerging markets— namely China, India, and Brazil—and a weak U.S. dollar. In addition, business capital equipment and software spending has accelerated during the recovery period as businesses with healthy balance sheets focused on improving both productivity and inventory management without increasing payrolls.
What does all this mean for the near future? Currently inventories are lean, and as a result, we expect to see them increase. There should be a big bounce-back in automobile inventories—and therefore manufacturing—once the supply chain disruptions caused by the mid-March earthquake in Japan abate. We expect manufacturing inventory levels to surpass their Quarter 1, 2008 peak by early 2012.
Wholesale inventories will benefit from the same type of drivers as manufacturing inventories: exports, business equipment formation (capacity expansion), and replenishment. However, a significant portion of wholesale sales and inventory is targeted to the retail side of the economy, which has been showing considerable weakness recently.
The consumer side of the U.S. economy has softened considerably in the first half of 2011, with weakening retail sales growth and depressed levels of consumer confidence. Retail inventories are ultra-thin, and we expect the inventories-to-sales ratio to continue on its downward path due to technological innovations that help companies better match supply with demand together with increased efficiency in inventory management. The outlook for retail inventories remains relatively flat for the next couple of quarters with a slight pickup thereafter. We do not expect retail inventories to surpass their pre-Great Recession peak anytime soon since consumer spending has been very lackluster and the recent payroll numbers are not very promising.
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."
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.”
That challenge is one of the reasons that fewer shoppers overall are satisfied with their shopping experiences lately, Lincolnshire, Illinois-based Zebra said in its “17th Annual Global Shopper Study.” While 85% of shoppers last year were satisfied with both the in-store and online experiences, only 81% in 2024 are satisfied with the in-store experience and just 79% with online shopping.
In response, most retailers (78%) say they are investing in technology tools that can help both frontline workers and those watching operations from behind the scenes to minimize theft and loss, Zebra said.
Just 38% of retailers currently use artificial intelligence-based prescriptive analytics for loss prevention, but a much larger 50% say they plan to use it in the next one to three years. Retailers also said they plan to invest in self-checkout cameras and sensors (45%), computer vision (46%), and RFID tags and readers (42%) within the next three years to help with loss prevention.
Those strategies could help improve the brick-and-mortar shopping experience, as 78% of shoppers say it’s annoying when products are locked up or secured within cases. Part of that frustration, according to consumers, is fueled by the extra time it takes to find an associate to them unlock those cases. Seventy percent of consumers say they have trouble finding sales associates to help them during in-store shopping. In response, some just walk out; one in five shoppers has left a store without getting what they needed because a retail associate wasn’t available to help, an increase over the past two years.
Additional areas of frustrations identified by retailers and associates include:
The difficulty of implementing "click and collect" or in-story returns, despite high shopper demand for them;
The struggle to confirm current inventory and pricing;
Lingering labor shortages; and
Increasing loss incidents.
“Many retailers are laying the groundwork to build a modern store experience,” Matt Guiste, Global Retail Technology Strategist, Zebra Technologies, said in a release. “They are investing in mobile and intelligent automation technologies to help inform operational decisions and enable associates to do the things that keep shoppers happy.”
The survey was administered online by Azure Knowledge Corporation and included 4,200 adult shoppers (age 18+), decision-makers, and associates, who replied to questions about the topics of shopper experience, device and technology usage, and delivery and fulfillment in store and online.