Voice system smoothes order flow in beverage distributor's DCs
A voice picking system solved problems that had long been brewing in Odom Corp.'s beverage distribution operation. Two years later, an equipment upgrade made things even better.
David Maloney has been a journalist for more than 35 years and is currently the group editorial director for DC Velocity and Supply Chain Quarterly magazines. In this role, he is responsible for the editorial content of both brands of Agile Business Media. Dave joined DC Velocity in April of 2004. Prior to that, he was a senior editor for Modern Materials Handling magazine. Dave also has extensive experience as a broadcast journalist. Before writing for supply chain publications, he was a journalist, television producer and director in Pittsburgh. Dave combines a background of reporting on logistics with his video production experience to bring new opportunities to DC Velocity readers, including web videos highlighting top distribution and logistics facilities, webcasts and other cross-media projects. He continues to live and work in the Pittsburgh area.
In April 2007, after 75 years in business, liquor distributor Odom Corp. took its first steps toward automating its order fulfillment operations. By all accounts, the move was long overdue. Eleven years earlier, the company had embarked on a string of acquisitions, buying up 21 beverage distributors around the Pacific Northwest in just over a decade's time. And while it was great for the bottom line, the expansion also created some headaches. For one thing, the acquisition binge left the distribution end of the business with the operational equivalent of a nasty hangover.
A big part of the problem was that the company's 13 DCs were still largely manual operations, with workers picking orders from paper lists. As volume grew, the DCs were finding it more and more difficult to keep up with orders. Not only that, but accuracy was becoming a concern. Nearly every order shipped out contained at least one mis-pick.
To gain better control over its operations, the company in 2007 installed a warehouse management system (WMS) from Retalix. With the software in place, it is now able to manage its distribution operations in real time. But Odom didn't stop there. In order to take full advantage of the WMS's capabilities, it decided to automate several aspects of its operations. After weighing its options, Odom purchased a voice system to direct its order picking activities and a radio-frequency system to handle everything else.
A clear call
Since its founding in 1933, Odom Corp. has grown from a one-man bourbon and dry goods distributor to a major force in beverage distribution. Today, the Bellevue, Wash.-based company is one of the biggest beverage distributors in the Pacific Northwest, supplying soft drinks, beer, wine, and spirits to wholesalers, grocery stores, restaurants, and bars throughout the region. And its growth has not cooled off in recent years. "During the past seven years, we have quadrupled the size of our company," says Julie Taylor, Odom Corp.'s manager of mobile media. "We went from 466 employees in 2003 to nearly 1,600 today."
The company now ships 30,000 bottles per day on average. But in contrast to the situation just a few years back, it is no longer getting complaints about its shipments from customers. Today, Odom is shipping with near perfect accuracy. For that, it credits the WMS and the Vocollect voice system that directs its bottle and case picking operations.
For an operation like Odom's, one obvious advantage of voice is its hands-free operation. Because workers receive verbal instructions through headsets connected to terminals worn at the waist, they are no longer forced to juggle paper pick lists and bottles or cases. As a result, workers in the bottle picking area can now handle up to four bottles at a time. Over on the case picking side, workers are now dropping fewer of the heavy cases, which has cut down on product damage.
Another advantage is that the voice system contains built-in checks for accuracy. At the start of the order picking process, the voice system directs the worker to the location for his or her first pick—for example, with orders that include bottles, the rack where the bottles are stored in a pick module. Once he or she arrives at the location, the worker reads the rack's check digit into the headset's microphone to confirm that it's the right spot. The system anticipates the correct response, and if the worker provides the expected reply, the system then tells him or her how many bottles to pick. If the worker reads off the wrong check digit (for example, the number from an adjacent slot), the system redirects the worker to the correct location.
After the worker selects the assigned number of bottles, he or she confirms that number by speaking into the microphone. Because the system is able to quickly confirm the correct location and quantity, a high degree of accuracy is maintained.
Along with improving accuracy, the voice system has greatly simplified the picking process, Taylor says. For instance, under the old paper picking system, when workers went to pick wines, they had to match up the name on the bottle's label with the name on the paper list to make certain they had pulled the right item. "Now, the workers can just focus on the slots and quantities," she says.
The net result has been a major boost in productivity at Odom's DCs. Almost immediately after the voice system was installed, picking productivity jumped by nearly 50 percent. "Voice has been amazing for us," Taylor says.
Multimodal moves
At the same time that Odom installed the voice system for order picking, it also invested in equipment to automate some of its other DC tasks, including receiving, replenishment, and cycle counting. For those operations, the company chose Intermec CV30 terminals connected to SR61ex Bluetooth scanners. Although that proved to be a workable solution, it also meant that in order to make full use of its WMS's capabilities, Odom had to invest in three separate devices—a computer terminal, a scanner, and a voice terminal.
Last year, things got quite a bit simpler when Odom upgraded to Intermec's newly introduced CK3 mobile computer. This multimodal device allows workers to use the same unit for voice picking, scanning, and screen-based tasks. Today, Odom workers use the CK3 during the day shift for receiving, putaway, and replenishment. At night, the unit is placed into a holster and connected to a headset, and the terminal is ready for voice-based picking.
Among other advantages, the multimodal device gives the DCs more flexibility in managing their operations, Taylor says. For instance, if a facility receives a rush order that cannot wait until the normal nighttime picking cycle, it's a simple matter to convert a CK3 unit from, say, cycle counting mode into a picking terminal.
In addition to providing flexibility, the multimodal unit has shortened the learning curve for workers, Taylor says. Instead of having to learn to use three separate pieces of equipment, they only have to be trained on one device. She adds that the new terminal has also simplified many tasks. In the past, for example, a lift truck driver might have to get down off the vehicle to scan a product, then jump back onto the forklift to view the screen. Now, he can simply look at the screen on the multimodal computer.
On top of that, replacing three separate devices with a single multimodal terminal has saved the company some serious money. Odom estimates that the move has slashed its equipment expenditures by about 75 percent.
"The cost decrease was really the home run for us," Taylor says. "It was a very practical decision to go multimodal."
A move by federal regulators to reinforce requirements for broker transparency in freight transactions is stirring debate among transportation groups, after the Federal Motor Carrier Safety Administration (FMCSA) published a “notice of proposed rulemaking” this week.
According to FMCSA, its draft rule would strive to make broker transparency more common, requiring greater sharing of the material information necessary for transportation industry parties to make informed business decisions and to support the efficient resolution of disputes.
The proposed rule titled “Transparency in Property Broker Transactions” would address what FMCSA calls the lack of access to information among shippers and motor carriers that can impact the fairness and efficiency of the transportation system, and would reframe broker transparency as a regulatory duty imposed on brokers, with the goal of deterring non-compliance. Specifically, the move would require brokers to keep electronic records, and require brokers to provide transaction records to motor carriers and shippers upon request and within 48 hours of that request.
Under federal regulatory processes, public comments on the move are due by January 21, 2025. However, transportation groups are not waiting on the sidelines to voice their opinions.
According to the Transportation Intermediaries Association (TIA), an industry group representing the third-party logistics (3PL) industry, the potential rule is “misguided overreach” that fails to address the more pressing issue of freight fraud. In TIA’s view, broker transparency regulation is “obsolete and un-American,” and has no place in today’s “highly transparent” marketplace. “This proposal represents a misguided focus on outdated and unnecessary regulations rather than tackling issues that genuinely threaten the safety and efficiency of our nation’s supply chains,” TIA said.
But trucker trade group the Owner-Operator Independent Drivers Association (OOIDA) welcomed the proposed rule, which it said would ensure that brokers finally play by the rules. “We appreciate that FMCSA incorporated input from our petition, including a requirement to make records available electronically and emphasizing that brokers have a duty to comply with regulations. As FMCSA noted, broker transparency is necessary for a fair, efficient transportation system, and is especially important to help carriers defend themselves against alleged claims on a shipment,” OOIDA President Todd Spencer said in a statement.
Additional pushback came from the Small Business in Transportation Coalition (SBTC), a network of transportation professionals in small business, which said the potential rule didn’t go far enough. “This is too little too late and is disappointing. It preserves the status quo, which caters to Big Broker & TIA. There is no question now that FMCSA has been captured by Big Broker. Truckers and carriers must now come out in droves and file comments in full force against this starting tomorrow,” SBTC executive director James Lamb said in a LinkedIn post.
The “series B” funding round was financed by an unnamed “strategic customer” as well as Teradyne Robotics Ventures, Toyota Ventures, Ranpak, Third Kind Venture Capital, One Madison Group, Hyperplane, Catapult Ventures, and others.
The fresh backing comes as Massachusetts-based Pickle reported a spate of third quarter orders, saying that six customers placed orders for over 30 production robots to deploy in the first half of 2025. The new orders include pilot conversions, existing customer expansions, and new customer adoption.
“Pickle is hitting its strides delivering innovation, development, commercial traction, and customer satisfaction. The company is building groundbreaking technology while executing on essential recurring parts of a successful business like field service and manufacturing management,” Omar Asali, Pickle board member and CEO of investor Ranpak, said in a release.
According to Pickle, its truck-unloading robot applies “Physical AI” technology to one of the most labor-intensive, physically demanding, and highest turnover work areas in logistics operations. The platform combines a powerful vision system with generative AI foundation models trained on millions of data points from real logistics and warehouse operations that enable Pickle’s robotic hardware platform to perform physical work at human-scale or better, the company says.
Bloomington, Indiana-based FTR said its Trucking Conditions Index declined in September to -2.47 from -1.39 in August as weakness in the principal freight dynamics – freight rates, utilization, and volume – offset lower fuel costs and slightly less unfavorable financing costs.
Those negative numbers are nothing new—the TCI has been positive only twice – in May and June of this year – since April 2022, but the group’s current forecast still envisions consistently positive readings through at least a two-year forecast horizon.
“Aside from a near-term boost mostly related to falling diesel prices, we have not changed our Trucking Conditions Index forecast significantly in the wake of the election,” Avery Vise, FTR’s vice president of trucking, said in a release. “The outlook continues to be more favorable for carriers than what they have experienced for well over two years. Our analysis indicates gradual but steadily rising capacity utilization leading to stronger freight rates in 2025.”
But FTR said its forecast remains unchanged. “Just like everyone else, we’ll be watching closely to see exactly what trade and other economic policies are implemented and over what time frame. Some freight disruptions are likely due to tariffs and other factors, but it is not yet clear that those actions will do more than shift the timing of activity,” Vise said.
The TCI tracks the changes representing five major conditions in the U.S. truck market: freight volumes, freight rates, fleet capacity, fuel prices, and financing costs. Combined into a single index indicating the industry’s overall health, a positive score represents good, optimistic conditions while a negative score shows the inverse.
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."