FarEye Blog

Why we love Analytics in Last Mile (And you should too!)

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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 organisations 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:

(1) Leverage all your current data and enrich it with new data sources

(2) Enforce data quality policies and leverage today’s best technology and people to support the policies

(3) Relentlessly seek opportunities to imbue your enterprise with fact-based decision making

(4) Embed your analytic insights throughout your organisation

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 business.

Analytics that can be done in Last Mile are divided into four., namely: dashboard analytics, Heat Maps, Predictive Analytics, Reporting. These analytics provide an in-depth understanding of the operations on a day-to-day level.

Dashboard Analytics:

Dashboard delivers strategic value to service organisations by giving key performance metrics at a go. It helps to view real-time and historic data in the same dashboard to identify trends and areas of opportunity. Also, it helps in gaining a 360 degree view of what is going on the field.

360 degree view of what is going on the field


Predictive Analytics:

We believe that Predictive analytics gives a deeper understanding on the future outcomes with some degree of likelihood. Predictive analytics is an area that deals extracting information from data and using it to predict trends and behaviour patterns. With Predictive Analytics in the Last Mile Delivery., Logistics companies will be able to understand:

Where to open new hubs?

Where customer requests are spread?

New orders likely to come etc.

Heat Maps:

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:

Where to recruit more workforce

Where new hubs are to be created

Number of delivery requests

Digitalised Reporting:

Digitalized reports helps 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 enhances the ability to provide accurate, timely and transparent responses.

Reduces admin work

Increases employee satisfaction

Auto-generated reports

These analytics helps the Logistics companies to analyse their operations and strengthen their last mile by measuring Key Performance Indicators (KPI), generating meaningful insights that helps in making smart decisions.