The world is full of innovations, day by day the inventions are increasing and it has also modified the Logistics industry. We are now in the world of technology where even our living room mirror could display the information about the weather, current affairs etc. There could be a situation where you can text your vehicle to know how much fuel is left out. This is not all, all the real-life products can communicate with each other to coordinate and process your work schedule.
The advancement in the technology led to many innovations. The network connecting real-life objects and the appliances and heart rate monitors using sensors. This is possible due to IOT. The advancement in the Internet of Things led everyone to use this dope tech. All this is possible with the help of the connected data stream. The data-driven decision making could change the perceptions of how hard we treat life.
The Logistics Industry has moved by the new trends in technology. The shipments that we send are monitored by the RFID tags and sensors. GPS modules are also used which track where the shipment is. The logistics companies can generate data 24*7. Making all this data useful, generating insights and analyzing where the actual rework is to be made is possible by means of Big Data.
The power of data-driven decision making:
Many think that the big data analytics is possible only for big businesses. But it is possible even for a small business too. The start-ups rely on this data to fulfil the customers’ expectations. There are a number of processes that take place in between the delivery service. All this process ought to be monitored. The rise of e-commerce led to rising in many logistics start-ups in India. These start-ups face huge challenges but have greater opportunities.T here are few factors that have taken Indian Logistics Industry to generate new initiatives to cope up the efficiency.
The Big Data is used by many companies and they rely not only on the past data but also from the present data.GPS module set in the trucks help to track the goods on-board.
The data that is used is:
- Enterprise data
- Traffic and weather info from forecast systems, sensors and monitors.
- Advert response rates.
- Social media data
- Social media advert response rate
- Website browsing data pattern
- Vehicle diagnosis, location info & driving patterns.
- Business forecast data
Sensors have become more prevalent in transportation vehicles and throughout, they provide transparency in data. The data can be used to optimize any alterations in the future. This data can be used to know the preferences of the customers. The greater the amount of data that come in, the greater could be the service that matters for all.
The Big Data can also save in a lot of money. There could be situations where the roads couldn’t be used, in such cases, the cost of transportation might get increased. The data can be used to know whether the route can be used or not. If there is an obstacle, the alternate route would help to reduce the excess charge for transportation.
UPS is an example of how big data logistics could help to have a big saving. They examined their data and found that the trucks turning left were costing more. They also found that traffic was causing time delays, waste in fuel and safety risk. So they designed a strategy, in which they turn only 10% of the time.
We are at the peak in terms of technology. There might be furthermore additions in innovations to the logistics industry. Drones, robots and AI have created a wild buzz in the logistics industry. Whatever might be the advancement, the sole purpose is to provide faster delivery and service. There are many opportunities to shine in this industry, a better career option and a better choice to grow.