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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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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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