Data & Analytics Correlated To Logistics Business Model

HOW DATA & ANALYTICS CORRELATED TO LOGISTICS BUSINESS MODEL Presented By Rohit Prabhakar

INTRODUCTION OUTLINE OF TOPICS The data analytics helps a business or industry that has been traditionally fragmented with digital business transformation.

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.

Route optimization HEADING1-A THE BEST WAY TO REAL-TIME GPS DATA, WEATHER FORECASTING DATA, ROAD MAINTENANCE DATA, AND FLEET, AND THE BASIC SCHEDULES INTEGRATED INTO A SYSTEM LOOKING AT OLD TRENDS, THE MOST OPTIMIZED ROUTES AND SELECTED TIME FOR DELIVERY. OFFERING IMPROVEMENT OF ACCESSIBILITY AND ORDER-TO-CYCLE PROCESSES- THE LOGISTICS SECTOR IS USING DATA TO UPLIFT THE SPEED OF DELIVERY AND PROVIDE CUSTOMERS WITH RELIABLE AND REAL-TIME VISIBILITY OVER ORDERS THEY PLACED. CONSUMERS ALWAYS EXPECT SHIPMENTS TO BE FAST AND EASILY TRACKABLE. ANALYZING DATA TO IMPROVE THESE OPERATIONAL ASPECTS CONSTANTLY LEADS TO BETTER WORTHY PARTNERSHIPS AND INCREASED CUSTOMER LOYALTY.

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.

THANK YOU! BY ROHIT PRABHAKAR

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