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ractangle
case study

Trucking Dispatch Solution Modernization

Transportation & Logistics

  • Audit
  • Automation
  • Custom Software Development
  • Data Analytics
  • Optimization
  • Real Time Solution
  • Software modernization

Modernizing the trucking dispatch tool to provide flexible infrastructure, advanced analytics, and the ability to effectively manage a growing fleet. Automating route planning and dispatching to reduce manual effort and minimize fuel consumption. Providing access to real-time traffic, weather, and road condition data.

client

NDA Protected

  • image Canada
  • image 70 employees

The client is a trucking and logistics company specializing in regional and local freight deliveries using a diverse fleet. As shipment volumes increase, they are looking to modernize their shipping software and improve efficiency.

Dispatch software for truck fleet management

request background

Truck Fleet Dispatch Software for Enhanced Effectiveness and Scalability

Our client struggled with its reliance on error-prone legacy manual dispatching methods and limited real-time data integration. As their business grew, these inefficiencies impacted the company’s ability to effectively manage larger volumes of deliveries.

The current truck fleet dispatching system involved significant manual coordination, resulting in poor route optimization and inconsistent fleet utilization. As a result, the company experienced increased fuel costs, excessive vehicle wear, and unnecessary delays, which directly impacted profitability.

Additionally, the lack of real-time tracking made it difficult for the client to dynamically respond to congestion, vehicle breakdowns, or last-minute delivery adjustments.

While the company saw steady growth in delivery demand, its current manual systems failed to keep up with this expansion. Dispatchers faced increasing pressure, reducing efficiency and increasing the likelihood of errors. In addition, the lack of a centralized system limited their ability to identify bottlenecks, predict maintenance needs, and make informed decisions.

The client sought to modernize their operations with a SaaS-based truck business dispatching system. The primary goal was to automate and optimize key processes, allowing them to scale their business without compromising quality. Advanced data analytics would enable the business to optimize route planning and improve fleet visibility.

SaaS-based trucking dispatch tool request background

challenge

Challenges of SaaS-Based Trucking Dispatch Tool Modernization

There are many challenges affecting businesses in the trucking and logistics industry. Rising fuel prices, a shortage of drivers, and increasing customer expectations put additional pressure on companies to modernize their operations. Without advanced dispatch software for truck company managers, our client risked falling behind their competitors.

One of the most significant obstacles was manual and inefficient route planning. Dispatchers manually calculated routes, which resulted in increased fuel consumption, longer delivery times, and higher operating costs. This inefficiency impacted profitability and kept the company from improving delivery speed and reliability.

Another critical issue was the lack of real-time data integration. Without access to data on traffic jams, road closures, or weather conditions, drivers could not dynamically adjust their routes, resulting in missed delivery windows. Real-time data analytics would enable the company to make informed decisions on the fly and reduce delays.

The lack of a centralized dispatch tool for small trucking businesses made it difficult to monitor vehicle locations, driver performance, and delivery statuses. As a result, resources could not be allocated optimally. In addition, the lack of oversight created accountability gaps that impacted safety, productivity, and customer trust.

Without effective data analytics and forecasting tools, the company struggled to understand demand trends, use its resources best, and prepare for future challenges.

goals

  1. Develop a dispatch app for trucking companies that can scale with the growing fleet and expanding delivery operations.
  2. Implement a data-driven system that eliminates manual dispatching, enabling dynamic and efficient route planning.
  3. Integrate real-time traffic, weather, and road condition data into the dispatch program for truck fleets to ensure timely deliveries and improve customer satisfaction.
  4. Allow real-time visibility into fleet performance, driver behavior, and delivery statuses for better decision-making and resource allocation.
  5. Leverage data analytics to forecast demand, optimize fleet utilization, and manage the increased complexity of operations.
  6. Provide more accurate delivery time estimates and proactive notifications to customers to build customer trust.
The challenges of SaaS-based trucking dispatch tool modernization

solution

Modernized Dispatch Software for Truck Fleet Management

  • image Node. js, NestJS, React.js, Flutter, TensorFlow, Socket.io, AWS Global Infrastructure, Google Maps API
  • image 28 months
  • image 8 specialists

To ensure that the truck dispatch management app effectively addressed the client’s needs, we began with a comprehensive discovery phase. Our team conducted an in-depth analysis of the business processes, identified pain points, and gathered detailed requirements. We assessed their current data systems to identify gaps in real-time integration.

Using this information, we outlined the technical requirements needed for a scalable, integrated, and analytical truck fleet dispatch management software. We worked closely with stakeholders to ensure that the solution met both immediate needs and long-term growth goals.

First, we replaced manual dispatching processes with a dynamic route planning system. The system uses real-time data to create the most efficient routes. This reduces fuel consumption and delivery times, increasing overall operational efficiency.

To eliminate delays and increase flexibility, we integrated current traffic, weather, and road conditions data into the dispatch system for truck load management. As a result, drivers can adjust routes in real time, ensuring on-time deliveries.

It was also important to create a centralized fleet management dashboard. It provides visibility into vehicle locations, driver performance, and delivery statuses, allowing fleet managers to quickly respond to operational challenges.

Recognizing the clients’s growth, we designed the trucking operations dispatch software to scale seamlessly with their fleet. The solution includes advanced data analytics to forecast demand, optimize resources, and effectively manage increased delivery volumes.

We also didn’t forget about improving the customer experience. For example, our developers have implemented features such as accurate delivery time estimates and automatic notifications.

  • A scalable infrastructure for supporting increasing volumes of deliveries.
  • A centralized dispatch solution for small trucking companies for real-time visibility into fleet performance, driver behavior, and delivery statuses.
  • AI-powered data analytics using live traffic, weather, and road data.
  • Integrated customer-friendly features with notifications and delivery estimates.

outcome

The Impressive Results of Truck Fleet Dispatching Software

  • A 15% improvement in fuel consumption through optimized routes, reducing mileage and idle time.
  • A 20% reduction in delivery times and fewer late deliveries thanks to real-time data integration in truck driver dispatch management software.
  • A 30% increase in on-time deliveries and improved customer satisfaction through accurate delivery estimates and automated notifications.
Truck fleet dispatch software results

client feedback

Acropolium has been an excellent partner in optimizing our fleet management. We greatly value how they customized the dispatch tool for trucking fleets to meet our specific requirements, ensuring the system is scalable to accommodate our business growth.

sokrat

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