The latest novelty in internet-spurred convenience – the platform-to-consumer model or the on-demand delivery segment is projected to with a CAGR of 8.24%, reaching USD 291.10 bn by 2027. The user penetration is also expected to increase from 14.1% in 2022 to 19.1% by 2027. Both these trends are driving the demand for effective management in the industry, and the delivery management software market is also expected to hit the USD 3,729.46 mn mark by 2028, registering growth at 10.82% CAGR.
With increasing competition, constricting delivery windows, and skyrocketing customer demands, a plethora of SaaS solutions are entering the scene. However, not every solution is built the same or has the capability to match the briskly evolving pace of quick delivery business models. Hence, we share the 5 must-have features that every on-demand delivery business should check before investing in any solution or automation software.
Let’s have a quick look at them.
AI-based automated order allocation can help reduce the overall order allocation time by 45%, leading to faster and more efficient deliveries. Apart from order allocation, smart automation routines perform order clubbing based on the geolocation of delivery addresses and arrest driver deviations as well as fake delivery attempts.
Managers can club orders en route to optimize the driver capacity and reduce the ‘miles traveled’ per delivery per driver resulting in lower fuel consumption as well.
Another important must-have is real-time driver management via geofencing and smart asset (vehicle and driver) tracking. Managing driver slots facilitates the effortless addition of freelance drivers to offer uninterrupted deliveries during peak load times aas well. They can check whether the driver is deviating from the system-generated path via the real-time driver management dashboards.
As the managers can monitor and track the real-time movements of drivers while they are out for delivery, they can tackle last-mile issues such as empty miles, idling, fake delivery failure reasons, and more.
AI/ML-based routing and scheduling help reduce last mile delivery costs by 14% and increase on-time deliveries by 24% via the optimization of available resources, thus paving the way for smart scalability. Smart on-demand delivery management solutions offer multiple configurable parameters to managers and help avoid misroutes and delays and improve SLA adherence via timely deliveries.
Managers can set different route optimization constraints for different delivery routes/orders/vehicles/drivers/areas and more to ensure highly efficient delivery movements.
Intelligent on-demand delivery management solutions validate and authenticate the reasons for delivery failure to trap last mile issues and boost the delivery NPS. They also gather customer feedback for transactions and the overall delivery experience to help businesses work toward customer satisfaction.
Businesses can leverage built-in features such as multi-channel customer communication for collecting customer feedback and multiple dashboards for processing the collected information.
A centralized dashboard helps aggregate all analytics related to riders, SLAs, orders, etc., enabling businesses to derive actionable insights from multiple variables driving different processes and operations. They can track and measure the performance of drivers, operations, and delivery success to build better strategies.
Smart on-demand delivery management solutions like Shipsy also offer highly intuitive ways to process and understand organizational data and derive data-driven insights for business decision-making.
While we have shared the must-have features for an on-demand delivery management solution, there are many other ways smart automation is being leveraged in the global on-demand industry for efficiency, optimization, and resource utilization. With global consumer behavior shifting toward sustainability, brands and businesses are increasingly focusing on last mile excellence for sustainable deliveries, and smart automation is the right way forward.