What is Delivery Management? How to Make it Efficient?
The growth of e-commerce has forced many brick-and-mortar firms worldwide to adapt quickly to online selling—a significant increase in deliveries and the growing need for effective delivery management. Customers want to receive their items whenever and wherever they want in the lowest amount of time, making it challenging for traditional delivery methods to scale operations. Furthermore, there is a requirement to drive omnichannel experiences. All of these criteria point to the adoption of enhanced delivery management technologies.
How can Delivery Management be Improved?
Efficient delivery management entails task automation, reducing human error, improving customer service, and simplifying warehouse and delivery operations. Automating the supply chain via software can improve order fulfilment efficiency while ensuring customer happiness and increasing productivity.
Software delivery model firms can automate tedious and repetitive operations using software-as-a-service (SaaS), saving time and money. This software can assist businesses in achieving paperless delivery transactions and lowering their carbon impact.
Determining the quickest yet safest delivery route, ensuring real-time visibility of fleet movement, and improving customer communication with timely delivery progress updates can all help to make the delivery process more efficient. In addition, companies can reduce risks, generate more efficient operations, and manage costs by integrating new technology with existing logistics architecture.
What is the Significance of Delivery Management Systems?
Disruptive technologies and the expanding popularity of e-commerce have radically altered customer behaviour, directly impacting demand patterns, consumer expectations, delivery turnaround time, and the way brands execute order fulfilment. As a result, automated core delivery procedures are essential for increasing client retention and profitability.
5 Critical Delivery Management Systems KPIs
Key Performance Indicators (KPIs) aid in determining the quality of service delivery. KPIs are critical components of every business improvement approach.
Selecting the most cost-effective and productive route is known as route efficiency. Finding the shortest path between two points is not as simple as it appears. To advise the best delivery route, it must consider all important aspects, such as the number of stops possible along the route, delivery windows, vehicle capacity, driver schedules, and even traffic patterns. Route efficiency promotes on-time deliveries and increases income generation.
Fleet productivity is used to assess fleet performance. It includes variables such as driver behaviour, vehicle maintenance, compliance, fuel usage, fleet service hours, total usage, and idle hours. It aids in improving fleet efficiency, maintenance, and cost control.
Estimated Arrival Times (ETAs)
Route optimisation algorithms can create accurate estimated arrival times (ETAs) that can be utilised for internal and external communication. To anticipate arrival time, dependable ETA considers numerous parameters. ETA is determined using data histories that are significantly more precise regarding vehicle characteristics, road network variables, traffic conditions, accidents, and unanticipated events.
Detecting Late Deliveries
Accurately detecting delivery delays allows delivery stakeholders to assess the reasons and zero in on areas causing delivery timelines to be extended. It provides information about the effectiveness and efficiency of the intended delivery routes. Mechanical or hardware failures and problems during inventory pickup and packing are some of the most typical causes of late delivery.
GoBOLT offers a significant future opportunity to add new delivery systems to this platform, such as systems integration services, standardised ERP platforms for MFOs, brokering, insurance, resale, and servicing.
The GoBOLT delivery management system increases delivery efficiency and contributes to a better customer experience. Its novel truck empanelment procedures, which include short-term, long-term, and spot models, allow it to combine the entire ecosystem into a standardised service network. They collaborate as an N/W/S lane-spanning network, technology, and physical assets. Vehicles are tracked in real-time with accurate ETAs due to GoBOLT’s map technologies and historical route data.