How Big Data Hadoop Helps Logistics & Supply Chain Industry

Do you want to shape up your career in the field of logistics and supply chain? Do you want

to join a Big Data Hadoop training program just to serve this industry?

If yes, first of all understand what Hadoop has to do with logistics and supply chain? Then

you’ll be able to understand how you’re skills are going to save you from troubles, and why

you need a training program. Here we go……

Big data and logistic industry, both are premium choices as far as operational effectiveness

and improvement is concerned. Logistics companies have masses of goods to move from

one place to another and it’s constantly getting bigger and bigger.

At the meantime, they collect data sets that are awaited to be turned into helpful information

later used in taking decisions. Logistics industry can ensure a timely and accurate delivery,

only if the data travels ahead of each shipment.

In a recent research on supply chain trends, 60 per cent of the respondents said that they

are planning to plunge into bog data analytics within the next 5 years. Considering this trend,

it’s important to emphasize on the benefits that logistics industry get using big data.

It brings Operational efficiency:

Real-time route optimization, strategic network planning, crowd-based pickup as well as

delivery, and operational capacity planning, all become easier with Hadoop implementation.

New business models evolvement:

It brings market intelligence for small & med-sized enterprises, simplifies financial demand

as well as supply chain analytics, smoothed address verification, and environmental

intelligence as well.

The potential of big data can be used to obtain efficiency in the Logistics & Supply Chain

industry in the below mentioned ways:

Customer Loyalty Management:

Public consumer information is mapped against business parameters so as to forecast about

customer churning rate.

Strategic Network Planning:

Long term demand predictions for transport competence are generated so as to back

strategic investment.

Environmental Intelligence:

Sensors integrated to delivery vehicles generate statistics on traffic density, pollution, noise,

and parking spot utilization to name a few.

Financial demand &Supply Chain Analytics:

A macroeconomic outlook is created on universal supply chain data that helps financial

institutions not just to simplify their process, but improve their rating as well as investment

decisions.

Risk Evaluation & Resilience Planning:

By tracking as well as forecasting about events that lead to supply chain disturbances, the

flexibility level of transportation is improved.

Big Data methodologies can be interrelated to supply chain benefits through these

methods:

Consolidated pick-up and delivery:

The automated management of a large number of erratically moving delivery

resources calls for considerable data processing capabilities.

A real-time data stream is outlined in order to allocate shipments to available carriers

as per their respective location & destination.

Big Data techniques such as complex event processing as well as geo-correlation

can be used

Interfaced via a mobile application affiliates publish their current position & accept

pre-selected delivery assignments.

Real-time route optimization:

At the time of delivery vehicle is being loaded and unloaded a dynamic calculation of

optimal delivery series based on sensor-based tracking of shipment items releases

the staffs from manual doing sequencing.

The routing intelligence thinks of the availability and location information posted by

recipients so as to avoid unsuccessful delivery attempt.

On the road telematics databases are hit to automatically bring changes in delivery

routes according to recent traffic conditions.

Predictive Network & Capacity Planning:

Big Data methodologies support network planning & optimization by analyzing

widespread historical capacity & utilization data of transit points as well as

transportation routes.

External data like industry-specific & regional growth predictions are included for

more accurate forecast of a particular transportation capacity demand.

Seasonal factors as well as emerging trends of freight flows are measured by

learning algorithms that are filled with extensive statistical series.

Let’s talk about the world-famous logistic company FedEx that has created a next-gen, first-

of-its-kind information service that merges a GPS sensor device and a web-based

collaboration platform called Sense Aware.

This is basically used by the healthcare and life-science industries as a means to record

high-value and/or utterly time sensitive. The technology attaches digital information to

packages, giving details about a consignment’s exact location, notification when a

consignment is opened or if the goods of the shipment have been exposed & real-time alerts

as well as analytics between trusted parties concerning the critical signs of a consignment.

This is how big data Hadoop helps logistics and supply chain industry.

Madrid Software Trainings in association with industry experts provides complete Big Data

Hadoop Training in Delhi.

Madrid Software Trainings rated as the best Big data Hadoop Institute in Delhi by various

reputed organizations.