Making Logistics Management Take the Big Leap: Big Data Analytics and IoT
Big Data Analytics and IoT are making logistics management, take the big leap, causing a massive transformation. Here’s delving into the many nuances of it!
Posted on : 10 May, 2019
Logistics has transformed rapidly over the last few years. It has taken centre-stage and rules the roost in a business success. It is crucial, today, that logistics operations be well-managed, technically fine-tuned as well as in-sync with a business long-term objectives. Many factors have led to the improvement of logistics across companies and silos. Among them are infrastructure, communications, IT and of course, greater digitalization. Two major trends in digitalization are making a marked difference to logistics, advancing it and lending to it greater dynamism these are Big Data Analytics and Internet of Things (IoT). These two trends in technology, are out to fully transform logistics, moving it from relative backwaters to a decisive centre-stage.
A closer look reveals the massive transformation that these new technologies can engender in logistics solutions, making it pertinent to delve into their many aspects, raising several relevant questions like: How are these advancements slated to transform existing supply-chain practices? What equips them? How do they add value and operational excellence to supply-chain?
We make an analysis that sheds light into these narratives.
First and foremost, we start with data science. Data sciences affect the logistics industry by means of ensuring cost savings, customer satisfaction, visibility as well as reducing communication loopholes between demand and logistics management. The adoption of big-data has delivered results leading to value-added and monetary gains for firms. Big data gives impetus to supplier networks through greater data accuracy, clarity, as well as insights. Vikash Mohan, CEO, DHL SmarTrucking, India, states that Big Data and Data Analytics, can transform all aspects of logistics management, making it possible for customers and businesses to get greater assurance on goods, optimizing efficiency and network utilization and lending a greater degree of transparency, thereby maintaining the integrity of goods.
Data-driven insights help add greater credence and reliability to logistics solutions. They help logistics solutions in becoming more agile and predictable, as well as cost-efficient.Optimization of tools, demand forecasting, integrated business planning and risk analytics - all of these functions are being integrated with big data.
Another technology that is swiftly changing the world of smart-transportation is the Internet of Things (IoT). A thirty-fold increase in internet-connected devices is slated to alter how logistics services operate. DHLs IoT enabled state-of-the-art smart-trucks, has on-board diagnostics (OBDs), telematics and sensors, all working in tandem, to make sure that deliveries are always on-time. IoT backed by technologies like big-data, reduces costs, betters customer experience, and helps achieve a smart-transportation system that is more alert, agile and in-sync with the customers needs. IoT enabled logistics is slated to drive business growth and innovation in the future, creating endless opportunities in an increasingly internet-enabled world.
DHL SmarTrucking backed by IoT, gives customers real-time updates of shipments, assures better safety of goods as well as optimized efficiency and network utilization, real-time visibility and monitoring of temperature, lending finesse to cold-chain logistics. Charles Devlin DCosta, Chief Sales Officer - Cold Chain, DHL SmarTrucking, states that the company adheres to global standards of cold-chain offerings. Its smart-trucks are capable of maintaining temperatures in a wide product range of -25 to +25 degree Celsius.
Technologies like Big Data and IoT have revolutionized the supply-chain industry. Historically supply-chain participants, have generated a rich amount of data, encompassing information about routes, carriers, delivery-time, pricing points, transportation mode, account revenues, and much more, creating a gold-mine stowed away in databases across the world. Big-data analysis has helped businesses forecast demand better, estimate warehousing capacity, and predict customer buying cycles, more accurately, using this data. Data is no-longer information sitting somewhere, tucked away in computer systems but a decisive force in strengthening businesses.
IoT is ushering in a new-era in logistics management and has enabled the generation of information via sensors that can be kept in pallets, boxes, containers and a wide variety of objects, helping generate information about the object being transported. This capacity to collect data in real-time, enables greater safety during transport as well as the ability to monitor goods on a wide variety of aspects, making it possible to deliver outstanding quality of logistics services, bolstering and strengthening businesses like never before.
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