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5 Must-Have Last-Mile Delivery Software for Fleet Efficiency

In the rapidly evolving world of e-commerce and delivery services, the efficiency of last-mile logistics has emerged as a critical factor in determining the success and competitiveness of small and medium-sized enterprises (SMEs) in the logistics sector. This supply chain segment, which involves the final step of the delivery process directly to the customer’s doorstep, often accounts for a significant portion of the total delivery costs.

However, through innovative strategies and the integration of cutting-edge technologies, logistics SMEs can transform their last-mile delivery processes, achieving significant cost reductions and improving service quality and customer satisfaction. This comprehensive exploration delves into five last-mile delivery software that can help redefine last-mile logistics for SMEs.

Delm8 Route Planner

The bedrock of a cost-efficient logistics operation lies in meticulous route planning. This critical step impacts several aspects of delivery, including fuel consumption, vehicle maintenance, and labour costs, by optimising delivery routes to minimise unnecessary mileage. The development and adoption of advanced route planning tools represent a pivotal shift in logistics management. It allows SME logistics companies to optimise operations, reduce costs, enhance customer satisfaction, and promote sustainability. Positioning themselves for growth, profitability, and long-term success in a competitive and rapidly evolving marketplace.

Delm8 Route Planner is a particularly innovative route planning solution tailored to the unique challenges of the UK’s landscape, including its rural and hard-to-find addresses like farms and cottages. Unlike conventional route planners, Delm8 Route Planner optimises routes using actual addresses, not postcodes, ensuring pinpoint accuracy for every delivery. Delm8 Route Planner can help SMEs in the logistics industry save significantly in terms of time and fuel costs, thereby increasing operational efficiency.

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SAP Predictive Analytics

Applying advanced analytics and machine learning is more than a technological upgrade for last-mile logistics and courier companies. It’s a strategic necessity to meet the demands of an increasingly competitive, fast-paced market and stay ahead of the competition. 

Advanced analytics empower last-mile logistics companies with predictive demand forecasting, allowing them to anticipate delivery volumes in different areas at various times. This foresight enables companies to allocate resources more effectively, such as positioning vehicles and staff in high-demand areas before the demand spike occurs. By anticipating where and when delivery services will be needed most, companies can improve response times and enhance customer satisfaction.

Machine learning algorithms can sift through operational data to identify bottlenecks and inefficiencies in the last-mile delivery process. Whether it’s a recurring delay at a particular loading dock or inefficient package sorting at a micro-hub, identifying these issues allows logistics companies to take corrective action. Resolving operational bottlenecks improves overall speed and efficiency, directly reducing the costs associated with last-mile delivery.

SAP Predictive Analytics stands out by offering sophisticated analytical tools that empower logistics companies to sift through large volumes of data to predict future trends, anticipate customer demands and identify potential operational bottlenecks. This predictive capability allows businesses to take pre-emptive measures, ensuring smoother, more efficient operations and leading to significant cost reductions.


Enhancing customer communication and engagement directly reduces logistical costs by minimising failed deliveries and improving overall operational efficiency. Failed deliveries occur when customers are not available to receive their orders, requiring the delivery to be attempted again later. 

Each delivery attempt incurs costs in terms of fuel, vehicle wear and tear, and driver wages. By improving communication, companies ensure that customers are well-informed about delivery times, significantly increasing the likelihood that they will be available to receive their packages on the first attempt. This direct reduction in the rate of failed deliveries translates into noticeable savings.

Twilio represents a leading solution in this space. It offers a cloud communications platform that enables businesses to automate the delivery of SMS, email, and voice notifications regarding delivery status. By integrating Twilio into their existing logistics systems, companies can significantly reduce the incidence of failed deliveries and, consequently, lower associated costs.


Adapting to the diverse preferences of today’s consumers involves offering various delivery options. By implementing alternative delivery solutions such as locker pickups or local collection points, companies can achieve a more efficient consolidation of deliveries, substantially reducing the number of required trips.

Traditional home delivery in urban areas often involves multiple dispersed stops, consuming considerable time and fuel. By using centralised locations such as lockers or local collection points, logistics companies can deliver several packages to a single location. This consolidation drastically reduces the number of trips required, thereby decreasing fuel consumption, vehicle wear and tear, and the overall carbon footprint of delivery operations.

Additionally, failed deliveries are a significant cost factor in last-mile logistics. When customers cannot receive their packages, redelivery attempts or returns are necessitated, escalating operational costs. Lockers and collection points address this issue by allowing customers 24/7 access to retrieve their packages at their convenience, effectively eliminating the problem of missed deliveries.

InPost innovatively approaches this strategy by offering secure, self-service locker pickups, which afford customers greater flexibility and convenience in receiving their packages. This model exemplifies how diversifying delivery options can lead to more streamlined logistics operations and significant cost savings.


Leveraging local couriers and the gig economy offers logistics companies significant cost savings and operational flexibility by aligning delivery resources with fluctuating demand without the overhead of maintaining a large fleet or permanent workforce. This approach reduces fleet costs and shifts to a variable cost model where payment is based only on services rendered. 

It also allows for scalable adjustments during demand spikes and lowers administrative overhead associated with managing a full-time workforce. However, it’s important to note that this approach doesn’t have to constitute the entire fleet but can serve as a supplementary solution to optimise resource usage while maintaining overall control of the fleet.

Shiply creates a marketplace that connects businesses with transport providers who have spare capacity. This innovative approach enables cost-effective shipping options by utilising the unused capacity of existing delivery vehicles, thereby optimising resource use and reducing overall logistics costs.

As SMEs navigate the complexities of last-mile logistics, the strategic integration of advanced technology solutions provides a blueprint for transforming delivery operations. By embracing these innovations, companies not only achieve substantial cost savings but also enhance service quality, customer satisfaction, and environmental sustainability.

Adopting these technologies enables SMEs to streamline operations, anticipate logistics demands, reduce operational overheads and increase efficiency. This proactive approach enhances customer trust and loyalty, which is crucial for growth in a competitive market.

In summary, leveraging advanced technological solutions allows SMEs to optimise last-mile delivery services and position themselves for sustainable growth, preparing them to meet current and future demands.

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