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.
Ashwin Rao will serve as the company’s principal AI architect, after a career in which he served from 2016 to 2022 as the head of AI for Target Corp., where he led a team that developed mathematical models for pricing, merchandising, customer experience, supply chain logistics, and other functions. Previous to that role, he worked in the finance sector on Wall Street, and is currently an adjunct professor of applied mathematics at Stanford University.
“The opportunities to use AI to transform the building products distribution industry are endless,” Rao said in a release. “I’m excited to get started on dozens of AI workstreams that, combined with advantages of scale, will help QXO increase efficiency, optimize supply chains and add value for our customers.”
He joins QXO as the company is preparing to target tens of billions of dollars of annual revenue over the next decade through accretive acquisitions and organic growth, the company says. According to Jacobs, who is the company’s chairman and CEO, AI will play an important role in that approach. “Artificial intelligence will permeate everything we do at QXO, including demand forecasting, inventory management, and e-commerce,” Jacobs said. “Ashwin is recognized as one of the brightest minds in enterprise AI. He will be instrumental in making QXO the most tech-forward company in the industry.”
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.”
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."
Supply chain risk analytics company Everstream Analytics has launched a product that can quantify the impact of leading climate indicators and project how identified risk will impact customer supply chains.
Expanding upon the weather and climate intelligence Everstream already provides, the new “Climate Risk Scores” tool enables clients to apply eight climate indicator risk projection scores to their facilities and supplier locations to forecast future climate risk and support business continuity.
The tool leverages data from the United Nations’ Intergovernmental Panel on Climate Change (IPCC) to project scores to varying locations using those eight category indicators: tropical cyclone, river flood, sea level rise, heat, fire weather, cold, drought and precipitation.
The Climate Risk Scores capability provides indicator risk projections for key natural disaster and weather risks into 2040, 2050 and 2100, offering several forecast scenarios at each juncture. The proactive planning tool can apply these insights to an organization’s systems via APIs, to directly incorporate climate projections and risk severity levels into your action systems for smarter decisions. Climate Risk scores offer insights into how these new operations may be affected, allowing organizations to make informed decisions and mitigate risks proactively.
“As temperatures and extreme weather events around the world continue to rise, businesses can no longer ignore the impact of climate change on their operations and suppliers,” Jon Davis, Chief Meteorologist at Everstream Analytics, said in a release. “We’ve consulted with the world’s largest brands on the top risk indicators impacting their operations, and we’re thrilled to bring this industry-first capability into Explore to automate access for all our clients. With pathways ranging from low to high impact, this capability further enables organizations to grasp the full spectrum of potential outcomes in real-time, make informed decisions and proactively mitigate risks.”