1 / 6

How Data & Analytics Correlated To Logistics Business Model

data culture as advanced data analytics helps a business or industry that has been traditionally fragmented with digital business transformation.

RohitPrabhakar
Download Presentation

How Data & Analytics Correlated To Logistics Business Model

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. HOWDATA & ANALYTICS CORRELATEDTO LOGISTICSBUSINESS MODEL Presented By Rohit Prabhakar

  2. INTRODUCTION OUTLINEOFTOPICS The data analytics helps a business or industry that has been traditionally fragmented with digital business transformation.

  3. Real-time data sharing Improve productivity Real-time data sharing in logistics improve operational efficiency by capturing fluctuating customer thirst, external functionalities, and the sensitive operations of the partners. It will provide more transparency and help all stakeholders to streamline their processes, ultimately improving the quality of operational processes, and the overall performance using data and analysis of the logistics business.

  4. Route optimization HEADING1-A T H E B E S T W A Y T O R E A L - T I M E G P S D A T A , W E A T H E R F O R E C A S T I N G D A T A , R O A D M A I N T E N A N C E D A T A , A N D F L E E T , A N D T H E B A S I C S C H E D U L E S I N T E G R A T E D I N T O A S Y S T E M L O O K I N G A T O L D T R E N D S , T H E M O S T O P T I M I Z E D R O U T E S A N D S E L E C T E D T I M E F O R D E L I V E R Y . O F F E R I N G I M P R O V E M E N T O F A C C E S S I B I L I T Y A N D O R D E R - T O - C Y C L E P R O C E S S E S - T H E L O G I S T I C S S E C T O R I S U S I N G D A T A T O U P L I F T T H E S P E E D O F D E L I V E R Y A N D P R O V I D E C U S T O M E R S W I T H R E L I A B L E A N D R E A L - T I M E V I S I B I L I T Y O V E R O R D E R S T H E Y P L A C E D . C O N S U M E R S A L W A Y S E X P E C T S H I P M E N T S T O B E F A S T A N D E A S I L Y T R A C K A B L E . A N A L Y Z I N G D A T A T O I M P R O V E T H E S E O P E R A T I O N A L A S P E C T S C O N S T A N T L Y L E A D S T O B E T T E R W O R T H Y P A R T N E R S H I P S A N D I N C R E A S E D C U S T O M E R L O Y A L T Y .

  5. DIGITALIZATION OF CRUCIAL OPERATIONS Advanced analytics is applied to optimize operations in pricing, routing, and partial load shipment consolidation. The leverage of data through new build technologies that permits companies to have best and new data, and use it in more robust applications, is speeding up the path to a more efficient and sustainable supply chain.

  6. THANKYOU! BY ROHITPRABHAKAR ROHITPRABHAKAR.COM

More Related