The dangers of focusing only on the supply chain's last mile
In a world where companies are under increasing pressure to tighten product time-to-market, improving efficiency at every stage of the supply chain is a must.
Sue Welch is the Founder and CEO of Bamboo Rose, a collaborative B2B platform that combines intelligent product life-cycle management, sourcing, and global trade management.
In just about any circumstance, it'd be foolish to invest all of one's resources in the
final steps of a process without building a strong foundation for that process up front. It's
impossible to complete a doctoral dissertation without investing in years of early education
to solidify the language skills required to write even the most basic of papers. It would be
inadvisable, even dangerous, to run a marathon without first focusing on the initial training
that makes those final strides across the finish line possible.
The impulse to focus on the final steps, rather than on maintaining balance and focus
throughout a process, seems absurd. So why do so many organizations invest the majority
of their resources in bolstering their performance in the "last mile"—the phase when
products move from warehouse to customer—of their supply chains?
New tools and technologies not only have expedited the activities carried out in the last
mile of the supply chain but also have made them more reliable, transparent, and cost-effective.
The time frame from product development to delivery has been condensed, which is of the utmost
importance in the new era of nearly on-demand retail. It's no surprise, then, that eliminating
latency and opacity in the part of the supply chain where most of the actual movement of goods
occurs has received the greatest attention from companies that are responding to the pressures
of modern retailing.
However, no matter how efficient shipping and delivery might be, the entire effort can
potentially be sabotaged by inefficient product development and other obstructions or
oversights that may occur in the mid-stages of the supply chain. Consider that the typical
product-development cycle is a largely linear process. Too often, critical input doesn't
arrive until late in the game, requiring a redo, or at least an adjustment to the process.
If, for instance, you're designing a new teak coffee table, you could take a trip to Indonesia,
evaluate samples from multiple suppliers, keep track of your thoughts with a combination of
Evernote files and JPG photos, and spec out the product for a physical sample—only to
find out that while you may have identified the best source for teak, the latest consumer
trend in coffee tables is actually marble, not wood. After all that time, expense, and
effort, you now have to go back to the beginning of the process. So although it may seem
intuitive to save input gathered from the last mile until the end of the process, it would
be much more efficient to get that feedback earlier on—not just in the beginning stages,
but also throughout the product life cycle.
New tools can help buyers avoid that conundrum by fostering collaboration from all levels
of the supply chain. With the support of technology, the product-development process truly
becomes collaborative instead of linear, and each party, from designer to sourcing executive
to retailer, can weigh in at all stages of product development. Meanwhile, you can ditch the
Evernote plus JPG filing system, because today's retail technology makes sharing visual and
social—more like what you're used to seeing in your personal life.
The power of having time on your side
Today the most effective companies focus not just on the last mile, but also on allocating
resources to achieve balance throughout the end-to-end process. But how can organizations
speed up product development and other early-stage processes that don't involve as much
physical movement of inventory?
Product-development teams spend significant time on what we think of as administrative
tasks during the sourcing, supplier-selection, and product-development phases, also known
as the "first mile." Most are still sharing cumbersome spreadsheets and haphazardly snipped
screenshots back and forth through cluttered e-mail chains. Such inefficiencies can put
teams at risk of missing internal deadlines and exceeding cost limits.
Using technology to collaborate and co-create through real-time sharing of ideas and
information streamlines the product-development process and gives teams more time to be
creative and stand out from the competition. Freeing time that traditionally has been
spent passing spreadsheets back and forth among e-mail chains with 40 participants, each
chiming in with minor revisions over the course of a week, is one of the most powerful
ways to drive efficiency in the first mile. As the American Psychological Association
states, "With increased time pressure, you take the simplest pathway, not one that's
elegant or creative. But if you're able to spend more time exploring the maze, you're
more likely to hit on exciting or new solutions."
Organizations would never dream of sacrificing speed, precision, and cost-effectiveness
in the last mile of the supply chain. Every cent saved per mile is viewed as a major win.
Neglecting the opportunity to similarly increase efficiency throughout the supply chain,
including the earlier stages, is "penny-wise and pound-foolish." As the margin for
error continues to narrow, companies can't afford to overhaul just one aspect of their
supply chains and ignore less visible areas like product development.
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.”
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.