Last Mile Delivery challenges deal with information & delay on one hand and huge data loss on the other hand. In today’s world, it is important to gain a cutting edge over the competitors. To have a deeper understanding of the operations and the analytical needs of service organizations it is important to know and answer your needs on a day-to-day basis, as well as on a long-term strategic level. The key to success for organizations seeking to take advantage of this opportunity is:
With the humongous amount of data generated it is important to understand what to do with it. Because the analytics are contextual, enterprises can build confidence in the analytics and trust will result in using analytic insights to trigger business events. By automatically triggering events, the friction in business will be greatly reduced. Algorithmic trading and supply chain optimization are just two typical examples where predictive analytics to proliferate in every facet of the business.
Analytics that can be done in the Last Mile is divided into four, namely: dashboard analytics, Heat Maps, Predictive Analytics, Reporting.
Dashboard delivers strategic value to service organizations by giving key performance metrics at a go. It helps to view real-time and
360-degree view of what is going on the field
We believe that Predictive analytics gives a deeper understanding of the future outcomes with some degree of likelihood. Predictive analytics is an area that deals with extracting information from data and using it to predict trends and behavior patterns. With Predictive Analytics in the Last Mile Delivery., Logistics companies will be able to understand:
Heat Maps helps you in generating descriptive and predictive analytics that helps in understanding what happened in till now, what is likely to happen and helps you in analyzing and planning it on the field. With Heat Maps, you will have a clear view on:
Digitalized reports help in reducing the time taken in generating the run sheets & manual reports at the end of the day. Also., it helps in securing storage of data, easy retrieval and eliminates the time taken in handling admin work. Digitalised reports enhance the ability to provide accurate, timely and transparent responses.
These analytics helps the Logistics companies to analyze their operations and strengthen their last mile by measuring Key Performance Indicators (KPI), generating meaningful insights that help in making smart decisions.
An advanced logistics software with machine learning capabilities can crawl through past incidents of thefts on a route and deliver valuable insights on why a particular route should be avoided completely or at a given point of time.
The balance between brick and mortar stores and online retailers is very delicate. A new feature on the app might cause the customer to lean towards shopping online more frequently. The convenience of getting a product from the neighborhood kirana shop within minutes might cause some to lean towards brick and mortar stores.
Supply Chain 4.0 is already here. Businesses that are still shying away from embracing modern and disruptive technologies might find themselves losing their competitive edge and get trapped in an endless loop of sky-rocketing operational expenses and poor customer experience.