When its pick-to-light system kept breaking down, hair-care products manufacturer Goody knew it was time to update its equipment. A 2006 retrofit solved the problem while boosting productivity and accuracy.
Susan Lacefield has been working for supply chain publications since 1999. Before joining DC VELOCITY, she was an associate editor for Supply Chain Management Review and wrote for Logistics Management magazine. She holds a master's degree in English.
For three years, it happened again and again. Picking operations at Goody Products Inc.'s Columbus, Ga., distribution center came to a halt because of some sort of maintenance problem with its pick-to-light system. A light would go out, a scanning gun wouldn't read correctly, or a gun would lose its programming—and the entire system had to be taken down so it could be fixed.
"It cost our company a tremendous amount of lost labor through those three years," says Dean Shaw, the company's senior fulfillment supervisor.
But downtime or no, the work still had to get done. Goody, a $160 million manufacturer of barrettes, hair bands, brushes, and other hair-care accessories and styling tools, could not afford to ship late—not with Wal-Mart as its biggest customer. "Wal-Mart doesn't understand if you tell them you're having system problems; they couldn't care less," says Shaw. "They just want the product in their distribution center."
Clearly, shipping late wasn't an option. That left Goody with no choice but to have its order-fulfillment employees work overtime and eat the added labor costs.
A high-maintenance system
Perhaps the biggest problem with Goody's old pick-to-light system was that it wasn't designed for easy maintenance. When a problem cropped up, it couldn't be diagnosed or resolved by Goody's own employees. Instead, the vendor would have to dial into the company's server and oftentimes, would have to shut down the entire system to find the problem.
"We have 36 zones, and if one [scanning] gun wasn't effective or wasn't being consistent, instead of identifying what number gun and what zone it was in, we would have to knock out the whole system and then take it up, drop by drop by drop, to figure out where the problem was," Shaw recalls.
Once the problem was discovered, Goody would then have to wait for a technician to come to the distribution center to fix it, even if it was something as simple as replacing a light. "Maintenance on it was unbelievable," says Shaw. "It was a wired system that was really difficult to troubleshoot."
Maintenance was only the half of it. There were other problems with the system as well. For example, the scanning guns it used were tethered, rather than cordless, models, which meant they could only be used in one zone. The system also had its limitations when it came to indicating multiple picks in a single zone—because the system was only able to handle sequential picks, the indicator lights would light up one at a time instead of all together. Plus, the quantity to be picked was displayed on a central bay station instead of at the pick slot. This configuration required pickers to look back and forth between the pick location and the central bay, increasing the likelihood of mistakes and slowing workers down.
The system also had its limits when it came to diagnostic and reporting capabilities. For example, it could only store productivity and quality data for a few days, making it difficult to track employees' long-term progress.
Test pilot
By 2006, it was clear to those who worked on the DC floor that it was time for a new pick-to-light system. But Shaw and his team would first have to convince upper management of the situation's urgency.
The problem was how to "sell" the project. It wouldn't be enough to pitch the program as a solution to the DC's maintenance woes. Instead, the managers would have to show how a new system would produce financial benefits. After some thought, Shaw came up with a plan: "We sold it by saying it would increase productivity by 10 percent," he says. "But I was nervous at the start about hitting that number."
It didn't help that the DC would be under the gun to realize those results quickly. Goody is a business unit of Newell Rubbermaid, a consumer and commercial products company. As a general policy, Newell Rubbermaid requires that any new equipment or software improve productivity within 18 to 24 months.
Despite some trepidation, Shaw and his colleagues decided to go ahead with the project. They quickly agreed that rather than upgrade the old equipment, they'd start fresh with a new supplier. Not long afterward, the team settled on another pick-to-light vendor, Lightning Pick Technologies.
When they were ready to evaluate Lightning Pick's products, Shaw and the DC managers traveled to the vendor's offices in Germantown, Wis., for what's known as a "conference room pilot"—a demonstration of the system in a specially equipped meeting room.
The test run showed the Goody managers how orders would be downloaded from the company's existing Manhattan Associates warehouse management system (WMS) and then uploaded from Lightning Pick back to the WMS, says Dave Broadfoot, the Lightning Pick managing partner who was involved in the implementation at Goody. "This [test] ensures that everything that we said is going to work does before we even set foot in the DC and before we start tearing things apart," he explains.
During the visit, Lightning Pick also trained Goody's managers in simple maintenance procedures, such as replacing lights. Convinced that the equipment would easily integrate with Goody's host system while providing easier maintenance, Shaw's group decided to go ahead and install one of the vendor's pick-to-light systems at the Columbus DC.
After the conference room pilot, Lightning Pick and Goody conducted a site assessment in August 2006. Goody then created a layout of the distribution center's current operations and sent it to the vendor, which designed a blueprint for the new system, including light addresses and pick locations.
The installation itself took place over a weekend. On a Friday night in October, the Lightning Pick crew came in and began tearing out the old system and installing the new one. By Saturday, all of the lights had been installed and the crew was running diagnostics. By Sunday, the Goody staff was being trained on the new system and had begun working with it. In less than three days, the pick-to-light system was operational. And as promised, the entire changeover was transparent to Goody's customers.
Instant results
Once the new system was up and running, the maintenance issues disappeared. Goody's own employees can now repair many of the problems that used to hold up operations. They can change lights on the fly, batteries are easy to replace, and if a gun loses its programming, any employee can reset it simply by doing two scans.
"It's much more user-friendly in terms of maintenance," says Shaw. "You don't have to spend time waiting around for a technician to arrive. Instead you can now take down the specific zone where the problem is, and picking can continue in the areas around it."
On top of that, the system's design has greatly reduced downtime and improved productivity. Now when there are multiple picks in one zone, they light up all at once, a change that boosted picking speed. Plus, the quantity to be picked now appears right at the picking slot."The hourly employees like the fact that they do not have to look away from the pick slot. This made them a little more accurate," says Shaw. "Of course, our expectations for their accuracy levels have also increased."
The new system's design has even made it easy to learn—something that's particularly important to Goody, as the company uses a lot of contract labor in its distribution centers.
Freedom to move and improve
Installing the new pick-to-light system also gave Goody an opportunity to make a technological leap, updating both its hardware and its software. One big change was the switch from tethered scanning guns to cordless ones. The new guns can be used in multiple zones, giving a greater range of coverage and more freedom of movement. "Supervisors and managers no longer have to 'jump rope' as they move through the facility," reports Shaw.
Managers and supervisors now have better reporting capabilities, and they receive alerts when there are potential problems. For example, the system notifies Goody by e-mail when inventory at a particular location runs low and needs to be replenished. Every two hours, it reports on whether the DC is maintaining the necessary picking performance levels, and Goody now can get statistics on individuals' productivity. "There are charts that show us by user whose productivity has been steadily increasing, who's plateauing, and who's not coming along," says Shaw. "This provides a useful tool for managing the workforce."
By all accounts, the new system has had a dramatic effect on Goody's operations. As it turned out, Shaw's worries about raising productivity were unwarranted: The distribution center saw a 23-percent increase in productivity, more than double the level promised to management. At the same time, accuracy rose from 98.94 percent to 99.35 percent, based on Goody's routine inspections of 19 percent of all cartons leaving the picking area. The implementation has been so successful at the Columbus DC, in fact, that Goody's parent company, Newell Rubbermaid, is planning to install another of the pick-to-light systems at its Southeast regional distribution center in Atlanta.
Goody's only regret may be that it didn't install the new system sooner. Shaw urges others to learn from his company's experience and not wait so long to replace aging equipment. His recommendation: "If you are having problems with your existing system and determine you are going to replace it, move aggressively forward and get it replaced."
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.