Datalogic S.p.A., the Bologna, Italy-based provider of automatic identification solutions, including
bar-code readers, mobile computers, and RFID and vision systems, said today it has integrated its Datalogic
Automation, Accu-Sort Systems, and PPT Vision units into a single organization.
Gian Paolo Fedrigo, CEO of Datalogic Automation, will lead the merged group, Datalogic said.
The move follows Datalogic's acquisitions in late 2011 of PPT Vision and Accu-Sort Systems, which the company said has
doubled its presence in the industrial automation market. According to the parent company, the Accu-Sort acquisition gave
it a 31-percent share of the industrial bar-code scanner market.
The consolidation brings together three separate but complementary business lines. Datalogic Automation offers
solutions for traceability, inspection and detection in manufacturing and logistics processes, and manufacturing and
automatic warehousing applications. Accu-Sort focuses on the design, production, integration, and maintenance of automatic
identification and material handling solutions. PPT Vision serves the machine vision market.
The new organization will operate under the name of Datalogic Automation but will retain the Accu-Sort and PPT
Vision brands in certain markets. The combined, expanded sales group is charged with increasing business in the
factory automation market in North America, transportation and logistics in Europe, and both of those markets in Asia.
Datalogic also plans to expand its presence in the industrial automation sector, the company said in a press release.
Datalogic Group employs more than 2,600 people in 30 countries across Europe, the Americas, and the Asia Pacific region. In
2011 the company reported revenues of 425.5 million euros (approximately $539 million).
Robots are revolutionizing factories, warehouses, and distribution centers (DCs) around the world, thanks largely to heavy investments in the technology between 2019 and 2021. And although investment has slowed since then, the long-term outlook calls for steady growth over the next four years. According to data from research and consulting firm Interact Analysis, revenues from shipments of industrial robots are forecast to grow nearly 4% per year, on average, between 2024 and 2028 (see Exhibit 1).
EXHIBIT 1: Market forecast for industrial robots - revenuesInteract Analysis
Material handling is among the top applications for all those robots, accounting for one-third of overall robot market revenues in 2023, according to the research. That puts warehouses and DCs on the cutting edge of robotic innovation, with projects that are helping companies reduce costs, optimize labor, and improve productivity throughout their facilities. Here’s a look at two recent projects that demonstrate the kinds of gains companies have achieved by investing in robotic equipment.
FASTER, MORE ACCURATE CYCLE COUNTS
When leaders at MSI Surfaces wanted to get a better handle on their vast inventory of flooring, countertops, tile, and hardscape materials, they turned to warehouse inventory drone provider Corvus Robotics. The seven-year-old company offers a warehouse drone system, called Corvus One, that can be installed and deployed quickly—in what MSI leaders describe as a “plug and play” process. Corvus Robotics’ drones are fully autonomous—they require no external infrastructure, such as beacons or stickers for positioning and navigation, and no human operators. Essentially, all you need is the drone and a landing pad, and you’re in business.
The drones use computer vision and generative AI (artificial intelligence) to “understand” their environment, flying autonomously in both very narrow aisles—passageways as narrow as 50 inches—and in very wide aisles. The Corvus One system relies on obstacle detection to operate safely in warehouses and uses barcode scanning technology to count inventory; the advanced system can read any barcode symbol in any orientation placed anywhere on the front of a carton or pallet.
The system was the perfect answer to the inventory challenges MSI was facing. Its annual physical inventory counts required two to four dedicated warehouse associates, who would manually scan inventory to determine the amount of stock on hand. The process was both time-consuming and error-prone, and often led to inaccuracies. And it created a chain reaction of issues and problems. Fulfillment speed is one example: Lost or misplaced inventory would delay customer deliveries, resulting in dissatisfaction, returns, and unmet expectations. Productivity was also an issue: Workers were often pulled from fulfillment tasks to locate material, slowing overall operations.
MSI Surfaces began using the Corvus One system in 2021, deploying a small number of drones for daily inventory counts at its 300,000-square-foot distribution center (DC) in Orange, California. It quickly scaled up, adding more drones in Orange and expanding the system to three other DCs: in Houston; Savannah, Georgia; and Edison, New Jersey. The company plans to add more drones to the existing sites and expand the system to some of its smaller DCs as well, according to Corvus Robotics spokesperson Andrew Burer.
Those expansion plans are based on solid results: MSI’s inventory accuracy was about 80% prior to the drone implementation, but it quickly jumped to the high 90s—ultimately reaching 99%—after the company initiated the daily drone counts, according to Burer.
“We actually had an incident early on where one of the forklift drivers ran into the landing pad, rendering it inoperable for about a week while the Corvus team fixed it,” Burer recalls. “When we restarted the system, we noticed MSI’s inventory accuracy had dropped down to the 80s. But after flights resumed, accuracy quickly improved back to near perfect.” He adds that such collisions are rare as Corvus mounts landing pads high off the floor to avoid impacts but that accidents can still happen.
Overall, the system has helped speed warehouse operations in two key ways: First, the accuracy improvement means that associates no longer waste time searching for missing material in the warehouse. And second, the associates who used to conduct the physical inventory counts have been reallocated to picking and replenishment—creating a more efficient, and optimized, workforce.
A SAFER, MORE EFFICIENT WAREHOUSE
Robot maker Boston Dynamics is well-known for its Stretch and Spot industrial robots, both of which are at work in warehouses and DCs around the world. Earlier this year, Stretch made its debut in Europe, teaming up with Spot at a fulfillment center run by German retail company Otto Group. The deployment marks the first time Stretch and Spot are being used together—in a partnership designed to improve Otto Group’s warehousing operations by increasing efficiency and making warehouse work safer and more attractive to workers.
The partnership is part of a two-year project in which Boston Dynamics will deploy dozens of its warehouse robots in Otto Group’s European DCs. The first location is a fulfillment site operated by Hermes, the company’s parcel delivery subsidiary, in Haldensleben, Germany—a facility that handles as many as 40,000 cartons of goods on peak days.
At the site, Stretch—which is a mobile case-handling robot—autonomously unloads ocean containers and trailers, using its advanced perception system to pick and place boxes onto a telescoping conveyor inside the container or trailer. Spot—a quadruped robot—helps with predictive maintenance by collecting thermal data and performing acoustic and visual detection tasks throughout the facility to reduce unplanned downtime and energy costs. One of Spot’s jobs is to detect air leaks in the facility’s warehouse automation systems; future duties may include conveyor vibration detection, according to leaders at Otto Group.
Both Stretch and Spot will help the Haldensleben facility run more efficiently, especially during fall peak season when volume increases and work intensifies. The addition of Stretch addresses safety and comfort issues as well: Trailer unloading—a process that entails repeatedly lifting and moving heavy boxes inside a trailer, which can be dark, dirty, cold, and/or hot, depending on the weather—tends to be unappealing to workers. Along with reducing the amount of labor required, automating these tasks will have the added benefit for European facilities of helping them comply with EU (European Union) regulations limiting the amount of time workers can spend in those conditions.
Essentially, the robots are making life easier on the warehouse floor and for the company at large.
“Stretch is going to have a ton of benefits for customers here in the EU,” Andrew Brueckner, of Boston Dynamics, said in a recent case study on the project.
The trucking industry faces a range of challenges these days, particularly when it comes to load planning—a resource-intensive task that often results in suboptimal decisions, unnecessary empty miles, late deliveries, and inefficient asset utilization. What’s more, delays in decision-making due to a lack of real-time insights can hinder operational efficiency, making cost management a constant struggle.
Truckload carrier Paper Transport Inc. (PTI) experienced this firsthand when the company sought to expand its over the-road (OTR), intermodal, and brokerage offerings to include dedicated fleet services for high-volume shippers—adding a layer of complexity to the business. The additional personnel required for such a move would be extremely costly, leading PTI to investigate technology solutions that could help close the gap.
Enter Freight Science and its intelligent decision-recommendation and automation platform.
PTI implemented Freight Science’s artificial intelligence (AI)-driven load planning optimization solution earlier this year, giving the carrier a high-tech advantage as it launched the new service.
“As PTI tried to diversify … we found that we needed a technological solution that would allow us to process [information] faster,” explains Jared Stedl, chief commercial officer for PTI, emphasizing the high volume of outbound shipments and unique freight characteristics of its targeted dedicated-fleet customers.
The Freight Science platform allowed PTI to apply its signature high-quality service to those needs, all while handling the daily challenges of managing drivers and navigating route disruptions.
STREAMLINING PROCESSES
Dedicated fleets face challenges that evolve from day to day and minute to minute, including truck breakdowns, drivers calling in sick, and rescheduled appointment times. PTI needed a tool that allowed for a real-time view of the fleet, ultimately enabling its team to adjust truck and driver allocation to meet those challenges.
The Freight Science solution filled the bill. The platform uses advanced analytics and algorithms to give carriers better visibility into operations while automating the decision-making process. By combining streaming data, a carrier’s transportation management system (TMS), machine learning, and decision science, the solution allows carriers to deploy their fleets more efficiently while accurately forecasting future needs, according to Freight Science.
In PTI’s case, Freight Science’s software integrates with the carrier’s TMS, real-time electronic logging device (ELD) data, and other external data, feeding an AI model that generates an optimized load plan for the planner.
“We’re an integrated data analytics company for trucking companies,” explains Matt Foster, Freight Science’s president and CEO. “We’re talking about AI.”
The benefits of the real-time data are difficult to overstate.
“We’ve been able to execute in the toughest of situations because we’ve got real, live data on how long each event is actually going to take and a system to aid and even automate the decision-making process,” says Chad Borley, PTI’s operations manager. “From what traffic patterns we are battling in the morning and evening with rush hour and things like that, to the impact of additional miles to a route, or even location-specific dwell times, it’s been a huge differentiator for us.”
REALIZING RESULTS
A case in point: the collapse of Baltimore’s Francis Scott Key Bridge in March. PTI was scheduled to go live with a new dedicated account in the area just days after the collapse, which would mean rerouting and the potential for longer transit times. Instead of recalculating based on assumptions or latent data, PTI was able to reroute freight based on real-time information and analytics to give the customer timely updates.
“With the bridge going out, that changed our ability to make as many turns a day as the customer would expect,” Stedl explains. “But one of the things Freight Science could do [was to] quickly [assess] how much of an impact that traffic would have [and] what the turns [would] be based on what’s happening on the ground.
“So we were able to go back to the customer and readjust expectations in a real way that made sense, using data. Now expectations can be reset¾we’re not asking for forgiveness when there’s no reason for it.”
The system’s advanced algorithms make load planning more cost-effective and scalable as well. The platform allows PTI to monitor trucks, trailers, and driver hours in real time, recommending additional loads with remaining driver hours that would otherwise be wasted.
And they’re doing it all with much less. Stedl says tasks that used to require five people and hours of work can now be accomplished by one person in mere minutes, improving productivity and profitability while reducing labor and operational costs.
Terms of the deal were not disclosed, but Aptean said the move will add new capabilities to its warehouse management and supply chain management offerings for manufacturers, wholesalers, distributors, retailers, and 3PLs. Aptean currently provides enterprise resource planning (ERP), transportation management systems (TMS), and product lifecycle management (PLM) platforms.
Founded in 1980 and headquartered in Durham, U.K., Indigo Software provides software designed for mid-market organizations, giving users real-time visibility and management from the initial receipt of stock all the way through to final dispatch of the finished product. That enables organizations to optimize an array of warehouse operations including receiving, storage, picking, packing, and shipping, the firm says.
Specific sectors served by Indigo Software include the food and beverage, fashion and apparel, fast moving consumer goods, automotive, manufacturing, 3PL, chemicals, and wholesale / distribution verticals.
Schneider says its FreightPower platform now offers owner-operators significantly more access to Schneider’s range of freight options. That can help drivers to generate revenue and strengthen their business through: increased access to freight, high drop and hook rates of over 95% of loads, and a trip planning feature that calculates road miles.
“Collaborating with owner-operators is an important component in the success of our business and the reliable service we can provide customers, which is why the network has grown tremendously in the last 25 years,” Schneider Senior Vice President and General Manager of Truckload and Mexico John Bozec said in a release. "We want to invest in tools that support owner-operators in running and growing their businesses. With Schneider FreightPower, they gain access to better load management, increasing their productivity and revenue potential.”
The port worker strike that began yesterday on Canada’s west coast could cost that country $765 million a day in lost trade, according to the ALPS Marine analysis by Russell Group, a British data and analytics company.
Specifically, the labor strike at the ports of Vancouver, Prince Rupert, and Fraser-Surrey will hurt the commodities of furniture, metal products, meat products, aluminum, and clothing. But since the strike action is focused on stopping containers and general cargo, it will not slow operations in grain vessels or cruise ships, the firm said.
“The Canadian port strike is a microcosm of many of the issues that are impacting Western economies today; protection against automation, better work-life balance, and a cost-of-living crisis,” Russell Group Managing Director Suki Basi said in a release. “Taken together, these pressures are creating a cocktail of connected risk for countries, business, individuals and entire sectors such as marine insurance, which help to mitigate cargo exposures.”
The strike is also sending ripples through neighboring U.S. ports, which are hustling to absorb the diverted cargo, according to David Kamran, assistant vice president for Moody’s Ratings.
“The recurrence of strikes at Canadian seaports is positive for U.S. ports that may gain cargo throughput, depending on the strike duration,” Kamran said in a statement. “The current dispute at Vancouver is another example of the resistance of port unions to automation and the social risk involved with implementing these technologies. Persistent disruption in Canadian port access would strengthen the competitive position of US West Coast ports over the medium-term, as shippers seek to diversify cargo away from unreliable gateways.”
The strike is also affected rail movements, according to ocean cargo carrier Maersk. CN has stopped all international intermodal shipments bound for the west coast ports of Prince Rupert, Robbank, Centerm, Vanterm, and Fraser Surrey Docks. And CPKC has stopped acceptance of all export loads and pre-billed empties destined for Vancouver ports.
Connected with the turmoil, Maersk has suspended its import and export carrier demurrage and detention clock for most affected operations. The ultimate duration of the strike is unknown, but the situation is “rapidly evolving” as talks continue between the Longshore Workers Union (ILWU 514) and the British Columbia Maritime Employers Association (BCMEA), Maersk said.