Art van Bodegraven was, among other roles, chief design officer for the DES Leadership Academy. He passed away on June 18, 2017. He will be greatly missed.
Ro, ro, ro your bot, gently down the stream? On second thought, maybe not. The "B" movies of our misspent youth gave us the idea that robots were mechanical persons, humanoids rather, that contained enough embedded intelligence to turn on—and destroy— their masters and creators.
The core concept actually originated with the Czech proto-science fiction writer Karel Capek and his 1921 play, "R.U.R.," which featured androids that could think for themselves and supplanted the human race. The word "robot" itself is based on a Czech word meaning "serf labor."
Later, the film "2001" by Stanley Kubrick reinforced the notion of latent evil with the malevolent computer HAL. Still later, George Lucas and "Star Wars" turned that perception on its ear, introducing the likeable, even loveable, C3PO and R2D2.
Definitions of "robot" and "robotics" vary widely. Some purists insist that robots resemble human beings and perform tasks normally undertaken by humans. Other pragmatists concede that a robot might sometimes resemble a human, but is essentially defined as being a reprogrammable machine, able to perform repetitive tasks with precision.
It's easy to get excited about the possibility of mechanical "people" with some level of circuitry that acts like intelligence. After all, if we can have robotic pets, can robotic playmates be far behind? Then, it's only a matter of time until automaton maids, cooks, handymen, and distribution center workers join the work force.
An anthropomorphic day may dawn at some future point, but today's workaday world is different. In fact, it's not easy for us to distinguish between productivity tools and "robots."
Latter stages of the industrial revolution
Many early machines were built to perform tasks better and faster than any person—or gang of persons—could possibly do. Think steam shovels, steel rolling mills, cranes, bench presses, and the like. But in those cas-es, human beings have to operate—guide, direct, start, and stop—the machines. On their own, the tools, howev-er complex, are merely so much industrial statuary.
We, collectively, became more aware of "robotics" in manufacturing, as machines were invented and in-stalled to perform specific, and traditionally human-executed, tasks, such as spot welding in automobile assem-bly. They worked (or were intended to work) quickly, flawlessly, and repeatedly, as directed by programmed—and reprogrammable—control systems. The human input was no longer continuous physical control, but one-time, or periodic, mental content.
As time passed, even a last bastion of the manufacturing arts, the steel rolling mill, began to operate itself, programmed with knowledge, practices, and processes extracted from the minds and psyches of the humans who had previously directly controlled them. Does that constitute "robotics"? We think it does, despite the enormity of scale involved.
A whirring sound is heard in the DC
In the supply chain arena, most of what we call robotics has been focused on movement, human movement being generally the most expensive component of distribution center costs. And the definitions get trickier.
So far, our robots and robotics don't look at all like actual people. And many productivity/movement tools can't be considered robotics.
Simple gravity-feed roller conveyor can save enormous amounts of expensive human labor toting, walking, and riding. But it has no intelligence of its own. Contrast that with motorized conveyors, sorters, and recircula-tion loops, driven and directed by complex warehouse control system (WCS) logic—programmed and repro-grammable. Robotics? However simplistic the execution might be, we think the answer is yes.
Then, there are carousels, which move products to people rather than requiring people to travel to the prod-ucts. These are clearly mere productivity aids, requiring an operator to activate them and keep them in motion. But AS/RS (automated storage and retrieval systems) mini-load installations that are controlled by WCS logic, and frequently interfaced with WCS operation of other technologies within the same overall system, are, in our book, robotic—and actually look and "feel" more robotic than conveyors might.
There may be a parallel in wheeled movement. Vehicles propelled by in-floor tow lines are (or, in truth, were, in times of old), no question, productivity aids. Advancing through wire-guided vehicles to laser-guided movement seems, to us, to take this application into the realm of robotics.
Aha!
The dawning realization is that robots and robotics haven't suddenly and miraculously appeared. They have quietly evolved from earlier applications of productivity, quality, and cost improvements. Frankly, we should be expecting continuing evolution and not be standing back waiting for mechanical butlers to greet us with a tall, cool one at the end of a hard day.
Current and emerging state(s)
In today's robotics, the evolution continues. Our work might not be as exciting as the employment of drones to replace human pilots and aircraft in far-off military operations.
But in the realm of bringing work to people, rather than making people travel to where the work is within the DC, advanced systems control location and movement of relatively small pods that both contain product and convey them to a human for pick/pack/ship activities. Think of a massive high-tech carousel that is directed by a control system, with little devices scurrying back and forth all over the facility. A Massachusetts company, Kiva Systems, is at the moment the best-known developer of this family of robotics.
There's more. Pittsburgh's Seegrid continues to expand the capabilities of its family of automated guided vehicles (AGVs), which includes robotic trucks. ThyssenKrupp Krause manufactures a parcel handling robot (Paketroboter) that unloads loose parcels of varying sizes from a truck to a conveyor.
Jervis B. Webb, now a part of Japan's Daifuku, pioneered driverless forklifts that could move pallets from the end of a production line to rack storage, bulk storage, or a loading staging area, occasionally even being able to drop loads into trailers. And at least one company, Belgium's Egemin, provides robotics to load trailers and intermodal containers.
Jungheinrich in Germany continues to develop driverless lift truck varieties and capabilities. Kollmorgen, a Swedish company, adapts existing lift truck fleets to be driverless, and Genco, the product life-cycle specialist, has married the Kollmorgen system with Sky-Trax guidance systems, which eliminates conventional guidance systems, including lasers, for robotic trucks.
Once a dream, now there are several mixed-case pallet building robotics, including some that are integrated with AS/RS installations, notably from Daifuku.
And next?
It should be clear that we've not yet reached Utopia—however Utopia might be defined in a world that is ex-periencing far from full employment. It should be equally clear that the development of increasingly capable and complex productivity tools will not stop and will probably, in our opinion, speed up.
With exponential increases in the power and value proposition of technology-enabled tools—robotics, if you will—the automation of supply chain and logistics tasks once the exclusive province of humans will march on.
On balance, this is a really good thing. We will be more productive—and more competitive. And the nasty, uncomfortable, and dangerous work will be done by machines.
On the flip side, the nature of jobs will continue to shift, and not all displaced workers will be able to keep pace. The education—and native intelligence—required for future DC operational work will escalate.
These developments will pose challenges for both managers and working associates, and the time to start thinking about long-term societal and individual implications is probably right now.
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.
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.”th 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 AI-based prescriptive analytics for loss prevention, but a much larger 50% say they plan to use it in the next 1-3 years. That was followed by self-checkout cameras and sensors (45%), computer vision (46%), and RFID tags and readers (42%) that are planned for use within the next three years, specifically for loss prevention.
Those strategies could help improve the brick and mortar shopping experience, since 78% of shoppers say it’s annoying when products are locked up or secured within cases. Adding to that frustration is that it’s hard to find an associate while shopping in stores these days, according to 70% of consumers. 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.
The survey also identified additional frustrations faced by retailers and associates:
challenges with offering easy options for click-and-collect or returns, despite high shopper demand for them
the struggle to confirm current inventory and pricing
lingering labor shortages and increasing loss incidents, even as shoppers return to stores
“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.
An eight-year veteran of the Georgia company, Hakala will begin his new role on January 1, when the current CEO, Tero Peltomäki, will retire after a long and noteworthy career, continuing as a member of the board of directors, Cimcorp said.
According to Hakala, automation is an inevitable course in Cimcorp’s core sectors, and the company’s end-to-end capabilities will be crucial for clients’ success. In the past, both the tire and grocery retail industries have automated individual machines and parts of their operations. In recent years, automation has spread throughout the facilities, as companies want to be able to see their entire operation with one look, utilize analytics, optimize processes, and lead with data.
“Cimcorp has always grown by starting small in the new business segments. We’ve created one solution first, and as we’ve gained more knowledge of our clients’ challenges, we have been able to expand,” Hakala said in a release. “In every phase, we aim to bring our experience to the table and even challenge the client’s initial perspective. We are interested in what our client does and how it could be done better and more efficiently.”
Although many shoppers will
return to physical stores this holiday season, online shopping remains a driving force behind peak-season shipping challenges, especially when it comes to the last mile. Consumers still want fast, free shipping if they can get it—without any delays or disruptions to their holiday deliveries.
One disruptor that gets a lot of headlines this time of year is package theft—committed by so-called “porch pirates.” These are thieves who snatch parcels from front stairs, side porches, and driveways in neighborhoods across the country. The problem adds up to billions of dollars in stolen merchandise each year—not to mention headaches for shippers, parcel delivery companies, and, of course, consumers.
Given the scope of the problem, it’s no wonder online shoppers are worried about it—especially during holiday season. In its annual report on package theft trends, released in October, the
security-focused research and product review firm Security.org found that:
17% of Americans had a package stolen in the past three months, with the typical stolen parcel worth about $50. Some 44% said they’d had a package taken at some point in their life.
Package thieves poached more than $8 billion in merchandise over the past year.
18% of adults said they’d had a package stolen that contained a gift for someone else.
Ahead of the holiday season, 88% of adults said they were worried about theft of online purchases, with more than a quarter saying they were “extremely” or “very” concerned.
But it doesn’t have to be that way. There are some low-tech steps consumers can take to help guard against porch piracy along with some high-tech logistics-focused innovations in the pipeline that can protect deliveries in the last mile. First, some common-sense advice on avoiding package theft from the Security.org research:
Install a doorbell camera, which is a relatively low-cost deterrent.
Bring packages inside promptly or arrange to have them delivered to a secure location if no one will be at home.
Consider using click-and-collect options when possible.
If the retailer allows you to specify delivery-time windows, consider doing so to avoid having packages sit outside for extended periods.
These steps may sound basic, but they are by no means a given: Fewer than half of Americans consider the timing of deliveries, less than a third have a doorbell camera, and nearly one-fifth take no precautions to prevent package theft, according to the research.
Tech vendors are stepping up to help. One example is
Arrive AI, which develops smart mailboxes for last-mile delivery and pickup. The company says its Mailbox-as-a-Service (MaaS) platform will revolutionize the last mile by building a network of parcel-storage boxes that can be accessed by people, drones, or robots. In a nutshell: Packages are placed into a weatherproof box via drone, robot, driverless carrier, or traditional delivery method—and no one other than the rightful owner can access it.
Although the platform is still in development, the company already offers solutions for business clients looking to secure high-value deliveries and sensitive shipments. The health-care industry is one example: Arrive AI offers secure drone delivery of medical supplies, prescriptions, lab samples, and the like to hospitals and other health-care facilities. The platform provides real-time tracking, chain-of-custody controls, and theft-prevention features. Arrive is conducting short-term deployments between logistics companies and health-care partners now, according to a company spokesperson.
The MaaS solution has a pretty high cool factor. And the common-sense best practices just seem like solid advice. Maybe combining both is the key to a more secure last mile—during peak shipping season and throughout the year as well.