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Maximizing Load Bookings with Freight Transport Automation

Governments are keen on introducing high capacity vehicles (HCV) to limit traffic congestion and reduce carbon footprints through freight transportation. But, truckers struggle with finding their next load on the backhaul and, of course, want to clear payments as fast as possible.

E-commerce has brought about a 5% increase in urban shipment demand. But, the situation is- retailers complain of goods not reaching the customer in time because of trucker shortage. And transporters claim- they suffer significant losses due to deadhead miles. Ironically, the load trucks are rolling, but without loads or lesser goads than their capacity, which leads to the transporter’s loss.

This article highlights how freight automation can maximize load bookings to bring a favourable impact on the transportation and logistics industry.

Logistics & Transport Service Challenges

The traditional shipping process involves contacting third party brokers and vetting the shipper manually. Despite being at the core of the supply chain, transportation services lack innovations to improve operational efficiency. The following are some crucial challenges that the logistics industry faces, even today!

Deadhead Miles

The trucks operating without load contribute to dead miles. Dead miles can occur when a carrier travels from location A to location B to pick items or it returns empty from location C to location A after dispatching the load.

According to the American Transportation Research Institute (ATRI) survey report 2017, it costs $66.65 per hour to operate a truck

Traditionally, small trucking companies call freight brokers, who in turn call up warehouses to find if there’s freight ready for hauling. Unfortunately, about 15%-25% of the time, truckers end up carrying zero freight.

Therefore, deadhead miles certainly bring a huge loss, especially because freight services generally operate interstate. 

Lack of Price Transparency

The transportation sector has been struggling with inflexible prices and backhaul charges. Fleet operators often demand deadhead miles charges for the shipment. Thus, irrespective of cargo capacity (or the volume to it’s full), the operator can charge sellers any amount.

Trucker Shortage

Trucking companies have reported truck driver shortage as their top industry issue in 2017-18. The American Trucking Associations state- the industry needs to recruit and train 898,000 new truckers by 2026. 

Manual Booking

On average, a logistics company may waste 4000 to 6000+ hours to manually create bookings via phone calls, emails, and coordinating with drivers and manufacturers. 

Benefits of Freight Automation

Transportation-as-a-Service (TaaS) can bring manufacturers/sellers, shippers, and carriers on a common platform. Automation solutions can bring the following benefits-

Route Matching and Optimization

Traditional backhauls include unused available capacity, causing deadhead mileage. 

With route matching feature of a freight automation system, instead of travelling back and forth from location A to location B, and then starting a new haul from location A to location C; trucker can find the best route to reach location C enroute.

Efficiently Managing Fleet Operations

Traditionally, equipment tracking was dependent on manual data entry from drivers, shippers, and consignees. The process was not only cumbersome but also error-prone. Transportation supply chain automation helps in managing fleet operations in the following ways-

  • Lodging truckers’ start and end time automatically add to the accuracy of HOS (Hours of Service) records.
  • Vehicle tracking can identify bottlenecks and provide instant support in case of accidents, fuel shortage, roadblocks, or other unanticipated highway incidents.
  • Route guidance enables efficient haul plans.
  • It can reduce idling time and thus improve fleet productivity.

Transparent Pricing

Transparency in pricing can make freight transport robust and reliable. 

For instance, Uber Freight has introduced Lane Explorer, which shows real-time market-based rates, up to two weeks in advance.

Online Processes

In any logistics and transport organization, the manual payment cycle requires 40%-60% more time and effort than its automation counterpart. Freight bill automation can solve the heavy-haul truckers’ problem of receiving payments faster. Eliminating manual processes can improve overall supply chain efficiency.

Collaboration Between Fleet Brokers

OECD states– Truck platooning can save over 10% in operational costs. Platooning is driving a group of vehicles together to increase road capacity via an automated highway system. 

At the same time, HCVs (High Capacity Vehicles) that carry 50% more load than traditional trucks can save up to 20% cost/km.

However, truck platooning and utilizing complete HCVs capacity requires collaboration between shippers, carriers, and freight brokers. Automation can bring different stakeholders from the freight and logistics industry on a common platform to work together.

Product Spotlight

HwyHaul, a leading California-based freight brokerage startup uses transportation automation to connect enterprises with truckers. It simplifies the ‘load booking’ process for shippers and seamlessly empowers them with a state of the art Transportation as a Service (TaaS) solution.

Currently serving Reefer, Dry Van, and Flatbed loads, HwyHaul connects shippers and carriers on a common platform. The distinct features that freight-logistics management platform brings are-

  • Shipping enterprises can create and track their freight from booking to end-of-delivery.
  • Trucking companies (carriers) can manage their fleet and drivers.
  • Internal operations team can oversee and govern backend processes.
  • Truckers can use HwyHaul app to book and deliver loads without having to wait for telephonic communication.

We specialize in developing industry-specific and logistics & freight automation products. Contact us at hello@mantralabsglobal.com to learn more.

Bottom Line

Load bookings and freight brokerage automation solutions can contribute to reducing carbon footprint and improve fleet productivity to a great extent. 

PwC 2019 report says by 2030, automation will shorten delivery lead times by 40% and reduce logistics costs for standardized transport by 47%. With newer disruptions like driverless trucks, relay-as-a-service model and automatic freight scheduling on the horizon, the transportation and logistics industry is on the cusp of unlocking new revenues across the value chain.


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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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