The logistics industry is one among those sectors that could make the most out of BI & Big Data if it comprehends how to take the best advantage out of them. The measure of the flows handled every day with all the shipments, their weights, sizes, contact details or returns is giving an unimaginable volume of data that must be managed. Most of the logistics companies rely on the operations-level data to build transparency, reduce cost and elevate performance.
Moreover, growth in data and devices such as GPS, RFID tags, sensors, and scanners is justifying a shift in the business model, blending multiple data sources and integrating business intelligence and complex discretions to present real-time or near real-time insights for decision making. Some trends on how this data is leveraged are:
Real Time Dashboards
Real-time dashboards for improving operational efficiency by enhancing transparency, optimizing resource consumption, and increasing process quality and performance in depot/ warehouse operations.
Big Data & Internet of Things Analytics
Growth in mobile and cloud computing, big data analytics and expanded adoption of GPS, RFID tags, sensors, scanners have proffered addition to large amounts of data. This data gives insights on Client experience, operational efficiency, safety and security for near real-time decision making.
Route optimization tracked real-time
All the data retelling operational constraints, traffic conditions, weather, end-user availability and added help to dynamically update routes and give instantaneous driving direction instructions will help to optimize the last mile delivery which drives down the product cost.