Today, more companies decide to tackle their everyday operations bottlenecks through solutions that can help them create a more efficient flow, especially during busy periods when a high volume of orders can really disrupt the process.
This is why automation is key when it comes to managing a large volume of orders. And functions like routing faster in an automatic way for hours can easily help you increase efficiency and decrease delivery time as a step forward to creating a more sustainable ecosystem.
From the tech perspective, there are platforms that are powered by machine learning, AI, or crowdsourcing that can help companies achieve their goals of a healthy fulfilment rate.
Companies that want to perform better don’t have to operate with outdated methods but start utilizing logistics technology that supports delivery management, fulfilment, and optimization to differentiate themselves from competitors. In an industry as important as logistics, which has become the backbone of any company’s operations, this type of technology will definitely be a gateway to success.
Also, optimizing logistics has a significant and tangible impact on the revenue as well as transparency and accountability, allowing companies to better analyze all the relevant data to optimize their operations and increase productivity.
Be at the helm of the “control tower”
In a previous article, we discussed what the “control tower” stands for in last-mile delivery and how operations managers can implement the concept in their daily delivery processes.
By creating an ecosystem which focuses on transparency, companies can have visibility into the order to reduce the risk of potential issues as well as gain data on how to better manage orders.
By using a sleek dashboard, which doubles as a “control tower”, you can easily organize all your deliveries in one place and have an overview of the operations flow. Start by planning, creating, managing and modifying deliveries on-the-go to gain full visibility of the entire process.
Manage and allocate resources accurately
With the help of algorithms, companies can identify the capacity of their active resources to better plan their logistics.
During increased volume of orders, proper capacity utilization is necessary to optimize the costs of logistics movement. With CarPal, companies can better predict capacity requirements and hence avoid lacking resources for urgent jobs or having drivers who don’t have enough deliveries to perform on certain busy days.
To manage the surge in demand during busy periods, companies need to put emphasis on working with a delivery management solution that offers the right platform to make this possible. Companies can consider implementing a last-mile delivery optimization tool for effective management.
But even before integrating a tech solution, companies which experience surges in demand have to analyze all their demand statistics and use the data for future deliveries. It’s also important to trace the physical last-mile delivery process to understand its flow and where tech solutions can step in to help.
Track drivers and jobs in real time
With live tracking of all vehicles, companies can be aware of all weather-related disruptions and react accordingly in quick time.
Moreover, the company can get ahead of any such disruptions rather than being caught off-guard. Real-time tracking of on-field resources results in increased visibility and transparency across all freight carriers and logistics partners.
You can optimize your live delivery performance by monitoring, modifying and controlling your orders and drivers on-the-go and taking immediate action if there are urgent or unpredictable issues – and use actionable data to improve your processes in the future.
Map the optimal route for efficiency and speed
In the delivery process, one important aspect is mapping out your routes and use driver tagging to fulfil orders and smart routing to automate delivery routes in the easiest and most efficient way.
Through technology that includes smart algorithms like geofencing, knowing the driver activity, IoT and machine learning, you will be able to automatically and accurately match orders to drivers. This means you can minimize the workload, streamline processes, and ensure your resources are efficiently utilized.
By being able to monitor, modify and control orders and drivers on-the-go, you can easily take immediate action if there are any urgent or unpredictable issues.
A customer-centric platform should put emphasis on mapping out routes and use driver tagging to fulfil orders and smart routing to automate delivery routes in the most efficient and easy way.
This way, companies can build better workflows in their daily operations, while identifying delivery patterns that can help the forecast future deliveries. Also, with the right platform, companies can be in full control of their deliveries when unpredictability occurs.