Robotic storage and fulfillment technology provider AutoStore has opened a test site in Norway that can replicate challenging supply chain environments from hot and cold weather to simulated earthquakes, the company said yesterday.
The “innovation hub” site is located in Karmøy, Norway, about 30 miles from the company’s headquarters in Nedre Vats, Norway. AutoStore plans to use the site to test the solutions it develops for its clients’ retail store and warehouse facilities, allowing it to provide faster fitting of automated systems to meet burgeoning order demand.
The new facility will also support rising industry demand for micro-fulfillment solutions, used by retailers to store dense inventory in automated systems located within stores. That approach allows companies to meet consumer expectations for fast order fulfillment far more quickly than they could with a traditional, regional distribution center, AutoStore said.
Inside its new test site, AutoStore can adjust environmental conditions to test how its robots perform in hot or cold conditions, how the oxygen level changes when goods are stacked within storage systems, or how the technology responds to potentially harmful situations like earthquakes.
“We identified the need to test solutions under a number of different situations, but we could not set up a test center for cold environments, one for heat, and at the same time one for a modern store solution, one for medical storage and so on. Therefore, we set up a center where we could simulate different situations and needs," AutoStore CEO Karl Johan Lier said in a release.
“Within the robotic technology industry, we do not have time to let the processes drag on. As a technology company, we must identify needs, and together with our partners and customers develop good solutions that can work immediately. We live in a time of exponential development in most areas, and then we must be able to develop solutions that are not outdated when they are used,” Lier said.
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.”
Terms of the acquisition were not disclosed, but Mode Global said it will now assume Jillamy's comprehensive logistics and freight management solutions, while Jillamy's warehousing, packaging and fulfillment services remain unchanged. Under the agreement, Mode Global will gain more than 200 employees and add facilities in Pennsylvania, Arizona, Florida, Texas, Illinois, South Carolina, Maryland, and Ontario to its existing national footprint.
Chalfont, Pennsylvania-based Jillamy calls itself a 3PL provider with expertise in international freight, intermodal, less than truckload (LTL), consolidation, over the road truckload, partials, expedited, and air freight.
"We are excited to welcome the Jillamy freight team into the Mode Global family," Lance Malesh, Mode’s president and CEO, said in a release. "This acquisition represents a significant step forward in our growth strategy and aligns perfectly with Mode's strategic vision to expand our footprint, ensuring we remain at the forefront of the logistics industry. Joining forces with Jillamy enhances our service portfolio and provides our clients with more comprehensive and efficient logistics solutions."
In addition to its flagship Clorox bleach product, Oakland, California-based Clorox manages a diverse catalog of brands including Hidden Valley Ranch, Glad, Pine-Sol, Burt’s Bees, Kingsford, Scoop Away, Fresh Step, 409, Brita, Liquid Plumr, and Tilex.
British carbon emissions reduction platform provider M2030 is designed to help suppliers measure, manage and reduce carbon emissions. The new partnership aims to advance decarbonization throughout Clorox's value chain through the collection of emissions data, jointly identified and defined actions for reduction and continuous upskilling.
The program, which will record key figures on energy, will be gradually rolled out to several suppliers of the company's strategic raw materials and packaging, which collectively represents more than half of Clorox's scope 3 emissions.
M2030 enables suppliers to regularly track and share their progress with other customers using the M2030 platform. Suppliers will also be able to export relevant compatible data for submission to the Carbon Disclosure Project (CDP), a global disclosure system to manage environmental data.
"As part of Clorox's efforts to foster a cleaner world, we have a responsibility to ensure our suppliers are equipped with the capabilities necessary for forging their own sustainability journeys," said Niki King, Chief Sustainability Officer at The Clorox Company. "Climate action is a complex endeavor that requires companies to engage all parts of their supply chain in order to meaningfully reduce their environmental impact."