The e-commerce industry is undergoing rapid advancements. As transport and logistics is at the heart of this industry, developing new technology to improve processes is even more important with the way deliveries are packed, tracked, picked and shipped. All these processes are being made much quicker by using digital technology to speed up the process.
The transportation and logistics marketplace is facing more challenges than ever. From driver shortage, increasing compliance complexities and constantly-evolving consumer demand to volatile fuel costs, the tension between cost-cutting and maximizing profit is at a fever-pitch. The following are the three broad challenges in transport and logistics.
Risk evaluation and resilience planning
Strategic-level network planning considers the long-term configuration of the distribution network, and operational-level planning scales capacities up or down on a weekly or monthly basis. For both perspectives, Big Data techniques improve the reliability of planning and the level of detail achieved, enabling logistics providers to perfectly match demand and available resources. Allerin’s Big Data csolution facilitates planning of the topology and capacity of the distribution network according to future demand. The results from this stage of planning usually drive investments with the long requisition and amortization cycles such as investments in warehouses, distribution centers, and custom-built vehicles.
Operational Capacity Planning
At the operational level, transit points and transportation routes are needed to be managed efficiently on a day-to-day basis. This management involves capacity planning for vehicles and shift planning for personnel in distribution centers and warehouses. Allerin’s Big Data solution helps in understanding the dynamics within and outside the distribution network, thereby enabling transport and logistics companies to determine the impact on capacity requirements and calculate measures in advance.
Predictive Network Planning
Transport and logistics providers know their customers’ supply chains in great detail. To cater for the customer’s need for predictive risk assessment, two things must be linked and continuously checked against each other: a model describing all elements of the supply chain topology, and monitoring of the forces that affect the performance of this supply chain. Our Big Data solution empowers transport and logistics leaders in the retrieval of input that is meaningful in the detection of supply chain risks. We provide both semantic analytics and complex event processing techniques that are required to detect patterns in this stream of interrelated information pieces.
Equipment and employee monitoring
Monitoring equipment and people for increasing safety and security is another main value proposition of Allerin’s IoT solution. Allerin’s IoT platform can help in predicting equipment failures and reduces cost.
Connected production floor
Our IoT solution facilitates sensor-enabled applications. With our IoT systems, companies can migrate their legacy management systems to open IP standards, resulting in increased interoperability, scalability, uptime, and manageability.
Our IoT solution facilitates sensor-driven technology to capture product data and deliver a continuous end-to-end visibility of stock levels. Visualizations help in understanding data properties and identifying appropriate analytics techniques.
With our Big Data and IoT platform, transport and logistics companies will have the strategic data and intelligence for developing new applications, thereby making them smarter and providing complete solutions rather than stranded static data in empty point software products.
Our Logistics solutions team can help identify the pain points in your organization and tweak our solution accordingly. Our solution will, thus, help you take better business decisions and react faster during critical times while eliminating human intervention in routine activities. To know more about our solution, contact Allerin .