Today we’re excited to announce a new real-time fraud detection system that has reduced cargo theft, double brokering, and other forms of fraud in our network by 90%, even as the industry experienced a 41% increase¹. This new system, which we’ve been testing with customers since January, combines machine learning technology, forensic behavioral data, automation, and industry collaboration to monitor risk in real-time, proactively block fraud before it can occur, and more quickly apprehend perpetrators. As a result of this work, we reduced the rate of theft and double brokering in our network to less than 0.001% across hundreds of thousands of shipments in Q2 2023. And at the time of this announcement, we haven’t experienced a single incident of theft in the second half of 2023.

A growing industry-wide problem

Every year, cargo theft costs shippers hundreds of millions of dollars—in 2022, the total value of stolen freight within the US was nearly a quarter of a billion dollars according to CargoNet. This industry-wide problem has only accelerated in recent years, with cargo theft up 57% year-over-year and trailer theft up 17% for the second quarter of 2023. Attacks have also become more sophisticated, with thieves using technology to target high-value loads and often working as part of larger cargo theft rings.

Traditional solutions to fraud prevention fall short in several ways:

1. Over-reliance on onboarding

Vetting carriers during onboarding is a necessary step to protecting against fraud. However, risk at onboarding is a single static data point, while a carrier’s risk profile and behavior can change over time. Effectively evaluating risk requires a more durable solution that relies on real-time data to continuously verify carrier legitimacy.

2. Failure to identify fraud networks

Traditional theft mitigation is akin to a game of whack-a-mole, in which individual actors are pursued for prosecution, but their connections to larger fraud rings can’t be established. A more systemic approach is required to identify these networks and proactively block fraudulent activity across all known members.

3. Insufficient driver data

Fictitious pickups, in which criminals use false identities to pose as legitimate carriers, were up 600% in 2022. Yet most solutions, including prominent industry data sources, lack information about individual drivers, which can be critical in securing check-ins at facilities and mitigating impact when adverse events occur.

4. Impartial assessments

Traditional risk assessments are often black-and-white decisions based on broad blanket policies and arbitrary data that have little correlation with cargo fraud. This results in frequent false positives that stifle the growth of legitimate carriers by blocking them from working with established brokerages. Instead, these carriers often resort to working with less credible brokers, exposing them to non-payments or misdirection schemes.

The problem is made worse by the fact that most fraud prevention efforts today rely primarily on manual process and human analysis, which can’t scale to effectively protect a freight network.

Introducing the industry’s first real-time fraud detection system

Over the last six months, our team has been working in collaboration with Fortune 1000 shippers and industry partners to pilot a unique real-time fraud detection system that addresses these shortcomings. At the core is machine learning technology that continually verifies the trustworthiness of carriers and identifies relationships between carriers, along with a dedicated team that provides decision oversight and input into the model. 

Before a carrier can join Convoy’s network, and once they’ve satisfied mandatory insurance, operating authority, and FMCSA carrier contact verification, they’re run through a proprietary risk assessment model. Borrowing concepts from graph theory and fuzzy logic, and using publicly available and proprietary data, this clustering model identifies latent connections between carriers and their personnel and then makes recommendations based on the risk level of those links. Identifying these connections is critical to preventing fraud since perpetrators often operate in networks or through the use of multiple identities.

Carriers flagged as high risk are immediately blocked from bidding on loads within the Convoy app. Those flagged with potential risk are asked to submit additional information to prove their legitimacy. And all carriers flagged with any level of risk are reviewed by a member of Convoy’s Trust & Security team to make the final decision on network membership. 

Of course, a carrier’s risk profile can change over time. Carriers who appear to be trustworthy during onboarding can quickly evolve into high-risk entities based on economic changes, sales of motor carrier companies, or onboarding of poorly vetted drivers. For this reason, our solution continually vets every carrier in our network multiple times per day before they can accept each load, using data from all interactions Convoy has with the carrier as well as publicly available information. Additionally, Convoy has built a multi-layered driver verification process to validate the accuracy of provided identification, with the capability to provide the validated assigned driver directly to facilities to verify before releasing a shipment.

Once a load has been assigned to a carrier, our systems track every step of the shipment lifecycle, looking for anomalies and proactively alerting our team to any suspicious activity. GPS tracking enables our systems to automatically determine if a shipment isn’t progressing to its destination as expected. Similarly, cargo sensors automatically alert us if a shipment is being unloaded in an unexpected location, enabling us to take immediate action.

Our solution is also an effective defense against the increasing threat of double brokering. At onboarding and throughout the course of their membership in Convoy’s network, carriers are evaluated for attributes typically associated with double brokering, behavior in accessing and navigating Convoy portals, and other attempts to mask their identity. Then, as carriers book shipments, our system evaluates their schedules for practicality. If deemed infeasible or high risk, loads are automatically removed from the carrier. 

Ensuring a positive, fair experience for carriers

In building a modern fraud prevention solution, we knew it was also critical to provide the tens of thousands of legitimate small carriers and owner-operators in our network, including those with new MCs, with a system that doesn’t obstruct the growth of their business. This is in contrast to many traditional solutions, which are often indiscriminate and haphazard in their approach to carrier vetting—using broad policies and arbitrary data to block by default rather than using precise, up-to-date forensic and behavioral data to block only when necessary.

For example, a well-known tactic in the industry is to use DOT inspection count as a deciding factor in whether to block a carrier from accessing their shipments. This unfairly penalizes new carriers entering the industry, as the median time for a small carrier to receive their first inspection is 154 days (more than five months). In addition, Convoy data indicates that just 56% of single-truck carriers are inspected each year, with 75% inspected over a two-year period. Blocking these small carriers based solely on an issue like inspection count unnecessarily stifles the growth of their business and exposes them to increased risks of unscrupulous broker behavior, as noted above.

Our approach was to build a solution that proactively monitors risk in real time, combining the automated decision making model described above with a dedicated team trained to provide technology oversight and to make fair and consistent decisions. We began by modeling behavioral details and other latent attributes that are more directly correlated with fraud than generic data points like inspection counts and location. We then employed custom heuristics to fine tune our recommendation engine in order to minimize the number of false positives.

To further minimize false positives and other similar issues, we designed a human-in-the-loop process where an audit team reviews our model’s decisions when there’s a higher degree of uncertainty. The team follows a thorough standard operating procedure to request additional information from carriers and make a decision on each case. These decisions are then fed back into the model to continually improve future recommendations.

Through these efforts, we’ve created the industry’s first always-on fraud prevention system that significantly improves cargo security without negatively impacting the tens of thousands of hard-working carriers in our network.

The critical role of industry collaboration

The development of our model, mitigation, and reaction techniques wouldn’t have been possible without the trend analysis, data, and products from companies including CargoNet, Central Analysis Bureau, Persona, and others. These organizations exemplify how technology innovation can be used to reduce losses from fraud and foster a greater sense of security and trust within our industry.

In addition, law enforcement continues to play a critical role in the investigation, apprehension, and prosecution of bad actors—in the last six months, they’ve tracked down and apprehend members of multiple cargo theft rings across the US. Additionally, law enforcement adjacent professionals, industry groups, and our private investigator partners continue to provide incredible support to the development of industry-wide solutions to combat fraud.

As we continue to navigate the increasingly complex landscape of fraud and cargo theft, we look forward to expanding these relationships, which we believe can ultimately benefit every shipper, broker, and carrier in our industry.

If you’re interested in learning more about how our fraud prevention solution can help your transportation team reduce supply chain risk, drop me a line at trustandsecurity@convoy.com or contact your Convoy account manager.

¹ Convoy internal data comparing H1 2023 vs. H2 2022, CargoNet Quarterly Supply Chain Risk Trends Analysis 2022, 2023

The post Convoy reduces theft and double brokering to less than 0.001% of loads appeared first on Convoy.

EDI revolutionized communication by providing a standardized format for data exchange and reducing errors associated with traditional methods like mail and faxes. By defining standardized message formats and communication protocols, EDI enabled consistent communication between participants, akin to a common language that everyone understands. This standardization was achieved through collaboration among industry players seeking more reliable and efficient ways to communicate.

Modern web APIs have more recently revolutionized the tech industry by also making it possible for different organizations to easily and efficiently communicate with one another. Unlike EDI, web APIs are often designed and implemented by a particular company to suit their needs and then made publicly available for anyone to use as they see fit.  Implementers have the freedom to choose from various API protocols and define message formats, affording them flexibility and customization options. This flexibility is advantageous for implementing solutions quickly and leveraging a vast ecosystem of tools and expertise.

Modern web APIs have more recently revolutionized the tech industry by also making it possible for different organizations to easily and efficiently communicate with one another. Unlike EDI, web APIs are often designed and implemented by a particular company to suit their needs and then made publicly available for anyone to use as they see fit.  Implementers have the freedom to choose from various API protocols and define message formats, affording them flexibility and customization options. This flexibility is advantageous for implementing solutions quickly and leveraging a vast ecosystem of tools and expertise.

Companies such as Project44 and Fourkites provide innovation in the form of location data aggregation and normalization across various sources, and this data is made accessible by API. Tech-forward companies like Convoy are able to easily integrate with these APIs to provide seamless experiences and valuable insights to our shippers about the locations of their shipments at any given time.

A common, valid criticism of APIs replacing EDI is that there is no established standard for how different companies should communicate via APIs. The lack of a common language would hinder seamless communication and lead to an explosion of bespoke interactions which would be a large step backwards towards the pre-EDI world.

However, it’s crucial to note that APIs can be defined using standardized communication protocols. One approach could be to define APIs that adhere to existing EDI message standards. Alternatively, they can be used to define a completely new set of standards that may offer improvements over current EDI practices. An example of this is the FreightAPIs effort, which aims to establish new standards using modern technologies, starting with scheduling APIs.

With this context in mind, it becomes essential to address the core questions:

1. What advantages do modern web-based APIs offer over EDI? APIs provide flexibility, customization, and the ability to leverage a vast ecosystem of tools and expertise. They enable rapid development and deployment of new features and products, supporting innovation and growth. By utilizing standardized communication protocols within the API framework, industry players can ensure compatibility, scalability, and seamless integration.
2. Do the EDI message standards need to be replaced with something new? The answer to this question is not straightforward. While EDI has served as the backbone of communication in the freight and logistics industry, it is not without its limitations. The fragmented landscape of EDI, with different versions and methods of communication, has resulted in significant challenges for integration and interoperability. APIs offer the potential to not only simplify adoption, but enable usage in domains previously inaccessible to EDI such as mobile applications and more. However, while APIs have a lot of benefits, the decision to replace EDI entirely requires careful consideration so that we can build on the foundation laid down by EDI.

In conclusion, the future of communication in freight and logistics lies in finding the right balance between leveraging the advantages of APIs and addressing the challenges presented by the current state of EDI. APIs offer flexibility, innovation, and compatibility with modern technologies. Simultaneously, the industry needs to explore opportunities for standardization within the API framework, leveraging the lessons learned from EDI to ensure seamless and efficient communication.

By engaging in a thoughtful conversation about the improvements needed within the existing EDI landscape, we can collectively work toward leveraging modern communication protocols, defining and adopting industry-wide standards, and shaping the future of communication in the freight and logistics industry for the better.

The post The future of communication in freight and logistics: examining APIs and the potential for improvement appeared first on Convoy.

This model gets materially better with scale, using technology to address the industry’s existing limitations and the reasons that trucking remains so fragmented. Hybrid carriers have a digital truckload marketplace, a universal pool of trailers, online drivers and equipment, and broad industry integrations, all running on a technology platform that uses data and AI to orchestrate everything, manage carrier quality, and generate actionable insights for shippers. By removing silos around truck and trailer capacity, these truckload platforms will benefit from network effects and other economies of scale, making them better and cheaper at scale and giving shippers compelling reasons to consolidate their freight spend for the first time.

At the end of the day, there is a reason that trucking is so fragmented and hasn’t seen benefits of scale. Here we dive into why this is and why it is now changing.

The problem: bringing economies of scaling to the truckload industry

In most transportation and delivery businesses, economies of scale, including network effects(1), allow the leading providers to gain cost and service advantages for their customers, causing the market to consolidate around them. The parcel and less-than-truckload (LTL) delivery businesses are good examples of this. No single package takes up an entire truck or trailer, so each customer that ships something helps cover the cost of the delivery for everyone. The more participants, the more economical it becomes. Additionally, with more customers and packages, the shipping service can add more deliveries per day, making it even more convenient for everyone.

This has not yet happened in the truckload industry(2), where limited advantages of scale have allowed fragmentation to persist as a viable sourcing strategy. Shippers work with dozens or even hundreds of truckload carriers and brokers who compete for their business. This is currently the best strategy for shippers to get competitive coverage, pricing, and service, but it leads to a transitory or what-have-you-done-for-me-lately mentality that limits the opportunity for each individual provider to think long-term, and it prevents big bets that could lead to step-function improvements in service and cost. For this to happen, shippers need to be presented with a fundamentally new model.

This persistent fragmentation in truckload is unusual. Most of the time, when companies source services, they choose just one or a few providers, not dozens or hundreds. They want to reduce the overhead of managing vendors and gain the volume discounts and priority service of top customers. For example, companies pick one payroll processing system, hire one partner for warehouse logistics, and contract one food services vendor to manage their cafeterias. The leaders gain advantages as they get bigger and customer growth accelerates.

Metcalf’s law says that a network’s value is proportional to the square of the number of participants (n^2); said differently, its value increases exponentially as its users or participants grow. These models clearly benefit from this effect. Why not truckload?

Why do network effects exist in these areas but not truckload?

Unlike in the parcel or LTL examples, each truckload delivery is financially viable on a standalone basis. Its cargo fills the entire truck on its own, and it moves point-to-point along a single route, so its success does not rely on any other participants in the network. For this reason, the barriers to entry are also very low. Nearly anyone can buy a truck or fleet and start hauling freight on similar footing to the rest of the industry.

Therefore, the network effects in truckload come not from optimization at the individual truckload shipment level but rather primarily at the system level. In parcel, wasted “space” creates the primary inefficiency to solve. In truckload, it is wasted miles (driving empty) and wasted time (waiting to load/unload) that creates the primary inefficiencies to solve. For example, combining multiple shippers’ freight networks to identify the best combinations of loads (routes, backhauls), optimizing appointment times and drop-and-hook programs to reduce waiting time, and ensuring that the best-located truck is matched to each run to reduce empty miles.

Unfortunately, many of these truckload networks are walled off from each other today. For example, the business model of the market makers who are in the best position to orchestrate the industry today – large truckload brokers – often operate on a load-by-load basis and fragment their own network of trucks and shipments into many small marketplaces, each managed by a carrier sales rep with a portfolio of carrier relationships. Naturally, carrier reps are reluctant to share their trucking relationships with others, which blocks a true network from forming as the brokerage scales.

Asset carriers face challenges in scaling and optimizing stitched-together networks

On the other hand, asset-based carriers run businesses predicated on effective network planning, which shouldn’t come as a surprise. While a typical broker is “asset light” — their primary cost being wages to employees who earn a commission for sourcing loads from shippers and finding trucks to do them at a lower cost — an asset carrier’s primary costs are their assets (trucks and trailers) and fixed driver costs. Not only do they need to be smart about making enough money to cover their variable costs, but also to cover their cost of capital for the assets they own. Thus, their focus is on asset utilization. They consider how different shippers’ networks overlap, and they attempt to stitch together a balanced portfolio that maximizes the utilization of their assets. For example, in an ideal situation, a carrier would find a backhaul or other symmetrical route between two companies that ship in different directions, creating an efficient loop for their drivers. In another case, they might start with a pool of trailers at one facility that ships to several destinations and, over time, fill in backhaul contracts to recover the empty returns.

However, as things move from planning to execution, it becomes clear that forecasting is often more art than science. Trucking is messy; the allocated pool of trailers and dedicated drivers are more fixed than daily or weekly fluctuations in demand, the necessary appointment times for live-load scenarios aren’t always available, and facilities, trucks, and drivers get delayed. And if something goes wrong, changing the appointments and driver schedules is cumbersome. The asset model is rigid by design, making it hard to be resilient when the unpredictable inevitably happens. Holiday weeks are a typical example of this. For example, leading up to Labor Day weekend, load volume spikes and outstrips trailers, leaving shippers to fail over to find the live-loaded trucks on the spot market. During off weeks, when volume dips, they pay trailer underutilization fees.

Adding or removing trailers quickly is expensive and operationally difficult. Trailers are committed, and the drivers have a system. Thus carriers manage a constant tension between service levels to shippers on the one hand and asset utilization on the other hand. And even though most asset carriers also run a traditional truckload brokerage to gain flexibility – re-brokering up to 40% of their freight to other carriers (3) – it is not seamless with their own operations, and its costs and service levels often don’t hold up to the commitments they’ve made.

All of these dynamics reduce service flexibility and lead to local optimizations and sub-scale marketplaces that lack network effects.

A lack of scale effects is also evident in that trucking brokerages and carriers do not gain operating leverage or performance advantages from scale

For example, you can see below that for several top national brokers, every incremental $ of net revenue requires proportionally the same investment of additional operating expenses. In other words, these businesses operate linearly, without major network or scale effects.

This doesn’t change as brokerages or carriers get bigger. In 2018 I listened to a panel discussion on trucking at a conference. A new-to-truckload executive shared that after looking at the financials of over a dozen public and private brokers, he had a discovery to share — all of them, from sub $100M to several billion in revenue, had roughly the same unit economics. The large, national players could cover the largest shippers across more regions, but they didn’t do it better. Others in the room echoed this for asset carriers, and others shared that in some cases, they became slightly worse with scale because their overhead increased, and they struggle to maintain the same quality standards, pricing controls, and network balance.

It isn’t that brokers and carriers don’t get better as they learn a facility’s operations or build density on a lane. They do. However, the financial improvements are localized to that specific opportunity and quickly reach a plateau. Similarly, those that add offices and employees to gain national scale are able to service larger national accounts, but as they grow, each incremental shipment costs about the same to support.

Finally, in most cases, shippers need multiple providers to meet their needs. Some of their freight is predictable and runs drop & hook, best for asset carriers, and some is less predictable and benefits from a broker’s flexible capacity. For national shippers, there isn’t one carrier or broker that is “best” in all regions of the country. And at the end of the day, because they can’t precisely forecast their volumes unless they pay for fully-dedicated capacity, shippers can’t count on their carrier or broker partners to reserve capacity for all scenarios. They simply need redundancy, opening the door to many providers.

All of the above conditions across asset carriers, brokers, and shippers’ truckload networks have created antibodies to consolidation. The Vice President of a major national U.S. retailer summarized this to me by saying, “We have hard caps built into our system. I can tell you that whenever we relax this and give a huge award to one carrier, even a carrier-of-the-year winner, it backfires, and their service drops the next year, and we move them back out.”

To date, a model that gets more efficient and better for shippers as it scales has not existed. As such, the conditions for significant industry consolidation and simplification have not existed previously, but that is now changing.

Enter the hybrid carrier, creating the path for economies of scale

A hybrid carrier brings together the best of asset carriers and truckload brokerages, using technology and open capacity marketplaces and shared trailers to get better and cheaper with scale in a way that we have not seen in the truckload industry. Over the next decade, a handful of hybrid carrier-enabling platforms will emerge and scale as they power this transition, giving today’s brokers and carriers the opportunity to deliver a broader set of service offerings with higher performance, better cost structure, and more data-driven insights for their customers.

The key ingredients of a hybrid carrier include:

1. Universal pool of trailers, all sensor-enabled and available to the carrier network for both live and drop-and-hook loads. 

The shared trailer pool is not tied to a given facility or route, so it can quickly grow or shrink with weekly volume changes faster than traditional carriers. This allows backup and spot loads to run as drop & hook as well. Any carrier on the platform can move a pre-loaded trailer, rent an empty one, or keep it after a delivery to use for other off-network jobs before later returning it. The return locations and times are designed to get trailers to where they are most needed on the network (or predicted to be needed by AI). This flexible return and rental program reduces relocation costs and allows carriers to find more backhauls. The platform maintains the pool.

2. A single digital marketplace for truckload volume and capacity. 

Hybrid carriers have access to vast pools of carriers and owner-operators. To drive network effects, they need to know that their path to getting access to the best freight at the best rates is via the digital marketplace, not negotiating over the phone. If their ideal job is out there, they can get it. This brings energy to the marketplace, which includes single jobs, batches, dedicated runs, and more. The variety of options allows for a trade-off between performance and cost. This results in asset-like visibility, availability, and performance, even with minimal lead time.

3. All drivers are online and connected throughout the job workflow.

It isn’t enough to have some of your carriers/drivers do some of their tasks online. To give the hybrid carrier the greatest opportunity to harness efficiencies and find opportunities, all drivers and trucks need to be online, when on the clock, for all the steps. Drivers share data and documents, offer visibility, handle detention and accessorials, manage payments, self-service exception handling, and more. The tech helps drivers keep moving to make more money and get paid faster. The visibility helps the platform learn and become more efficient. Today, the trucking companies most likely to use the app have < 10 trucks.

4. Digital integrations with shippers for seamless communications and data sharing.

Hybrid carriers have digital connectivity into a broad range of shippers via TMS and other EDI or API integrations. These allow for automated tendering, routing guide updates, spot load bidding, appointment scheduling, and financial processing.

5. Technology platform to orchestrate supply & demand AND load execution.

A hybrid carrier is too complex to run only by hand. The platform orchestrates the pricing and matching, provides self-service tools for brokers and carriers, tracks and manages carrier compliance, monitors and repositions trailers, and supports workflows for tendering, load creation, appointments, visibility tracking, payments, insights, sustainability reporting and accounting (e.g., GLEC framework).

Over the last decade, billions of venture dollars have gone into the truckload freight industry on the promise of digital transformation. That investment spurred, amongst other important innovations, the first generation of universal trailer pools and digital platforms for truckload brokerage, including many of the capabilities listed above. These platforms have remained proprietary, but this is changing. In the coming years, we will see some or all of these platforms open up, and the next wave of innovation will be built on top of them, enabling today’s brokers and carriers to become tomorrow’s hybrid carriers too.

As this happens, the leading platforms will only get better, leading to increasingly better cost, service, and insights for shippers. For the first time, shippers will have a compelling reason to consolidate their freight onto fewer providers.

The proof, as they say, is in the pudding. While it will take years to know exactly how this plays out, Convoy is one of the companies that has invested in building a hybrid carrier platform already. The results that we have seen from our V1 are very promising, and here are a few examples.

Consolidation leads to lower operational costs per load and better performance

There are material operating cost advantages when shippers consolidate more of their freight onto one hybrid carrier. The example below shows this for Convoy’s current offering, which is powered by our hybrid carrier platform. In addition to cost reduction, we also see improvements in on-time service performance.

More density continuously delivers more efficiencies and lower trucking costs

As the volume of loads and trucks in a market grows, network density increases, and the odds that a carrier finds their ideal load(s) (ideal timing and route) increase, reducing waste and costs. This phenomenon isn’t new; however, in most cases, brokers see the gains tap out and plateau relatively quickly. Instead, Convoy sees the gains come in waves with each efficiency, including overall density, load batching, appointment time optimization, flexible trailers, etc. The system continues to improve as it scales.

Flexible drop & hook matches reality of shipper demand, allowing continued service 

Hybrid carriers enable flexible drop & hook, which we have observed to successfully handle rapid changes in freight demand without needing to failover to live spot or paying underutilization fees.

An efficient, digital marketplace absorbs spikes in demand without spikes in staffing or compromising service quality

Hybrid carriers can handle volume spikes with minimal impact on service quality because of the scale and automation of the marketplace.

This pattern was maintained through the volatility of COVID. The efficiency of a hybrid carrier-style network provided elastic capacity with high tender acceptance rates and helped maintain superior on-time performance relative to the industry across market cycles.

The truckload industry has long been held back from enjoying the efficiencies and service benefits that come from economies of scale…but that is changing and changing fast. After proving to ourselves, our shippers, and our carrier network that there is a new way to manage truckload that DOES, in fact, get better with scale, we have begun to open up our platform to the broader industry.

Our goal in doing this is to accelerate the trucking industry’s transformation towards a more efficient future. That is only possible by breaking down the walls that exist across the industry. These walls that exist within and across shippers, within and across brokers, and amongst carriers’ assets are impeding the tremendous benefits that can come from network effects and other economies of scale within any single broker and across the entire industry.

Fortunately, the walls are already starting to come down. Within Convoy, our marketplace for truckload carrier capacity is unfettered by individuals’ various books-of-business, and our trailers operate in a universal pool across facilities and carriers. We recently opened this platform up for other carriers and brokers to use as well, alongside our first party truckload business. The nearly 20 brokers and carriers that are using it today save an average of 15% when they find a more efficient truck on our platform than on their own. And as we release more features and capabilities into this externalized, standalone platform, it will only get better, and momentum will only build further.  

As the now famous quote, most often attributed to William Gibson, goes, “The future is already here.  It’s just not evenly distributed.”  Never before has that been more true than it is today in the US trucking industry.

To learn more, inquire at info@hybridcarriers.com.

1. The Network Effect in Supply Chain and Logistics
2. Economies of scale in truckload exist mostly for the individual truckload and the efficiency gained by hitting the maximum weight or filling all of the space inside the truck (“weighing out” or “cubing out”).
3. Latest SEC Filings Reveal Major Trucking Companies Still Outsourcing Vast Amounts of Freight

The post Driving change: how hybrid carriers will finally unlock economies of scale in trucking appeared first on Convoy.