The future of logistics is in last mile delivery, which is more challenging and complex than technology companies realize. It will take companies with proven logistics experience to lead the charge.

Logistics and transportation providers must remain agile enough to provide rapid pick-and-ship of products pre-staged closest to the customer to meet the needs of today’s on-demand oriented customers.

Recent constraints like asset shortages and natural disasters have elevated the need for supply chain collaboration and visibility solutions. New technologies and data sources will fuel the next generation of risk management and visibility solutions.

To meet the ELD 2017 deadline, many fleets will choose the simplest approach of requiring drivers to use mobile devices, increasing electronic logging software and mobile app development and sales.

Spread of advanced technologies and safety advancements into entry level vehicles in Australia. Smartphone connectivity including Apple CarPlay and Android Auto, various forms of automatic in-vehicle technology such as adaptive cruise control.

An increase in back-office automation through machine-to-machine communication will improve network-wide visibility and serve as the foundation required for automated, driverless truck transportation.

Drones for logistics will be a bonus. The ability in built up areas to drop parcels off at the door and skip out on the traffic creates faster delivery cycles.

Increased use of QR barcodes which provide better delivery outcomes, and the next generation of telematics solutions using online GPS, which provide greater transparency and status updates to clients.

The biggest change coming in logistics and transportation will be technology to introduce a more streamlined, transparent process that eliminates hidden costs and extra fees.

When humans are replaced by self driving trucks and vehicles, swerving in and out of traffic on a gasoline powered motorcycle will be every teenager’s fantasy.


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  1. With the advent of the recent developments in machine learning and the big data, organisations have realised the potential to maximise the revenues by optimising the operational costs. Models using Time series can help in better inventory management. Organisations have also managed to plan the last mile deliveries lot more efficiently thereby avoiding any delays.

  2. Logistics will be the one that will be gaining most from data science and rapidly growing It technology.

    Google Maps have made easy to access various routes but , their is a lot to do. Like most of the Raw roads are being not noticed by google map or are not clearly mentioned. So, it could be best of we work on it.

    Secondly, live traffic or based on data we can choose best path at given time, that will help in long Jams in india especially

    Thirdly, Logistic firms can utilise to keep an eye on their Truck and also effectively utilising the time and fuel without running Trucks on no load. Many startups have started working on these, see who emerge.

  3. In my opinion drone delivery may not be a practical solution but a fascinating one . Even in the latest news Google self driven car had crashed in one of the tests. More practical and feasible solutions need to be incorporated which can help the masses.
    Beacon/GPS tracking can be one of the options.

  4. Elon Musk has signaled in his master plan 2 that Tesla engineers are now working on the electric trucks and hence, as the reliability of the autopilot increases and reaches 10X of the human levels, the driverless trucks would be the most preferred option of logistics considering the extreme operational challenges logistics industry faces today.

    Also, I believe that Tesla and companies like Flexport start working together on this mission, the future of driverless and sustainable logistics industry would be even closer. But still, it’ll at least a decade.

  5. I am agreed with carlos Hernandez’s view. Next biggest change that is going to happen in logistics and transportation is the process of avoiding the extra cost. In my opinion managing transportation in a more efficient and intelligent manner will do the job. for example, if a logistics company have to pick/deliver objects from 3 different location and chooses the pickup van and rout in intelligent manner( developing an algorithm for traveling salesman prob.) will do the task.

  6. Interesting insight, any opinion on crowdsourcing delivery model, just like airbnb for delivery boys!

    • There is actually a delivery service based on the crowdsourcing model as mentioned, by the name of Sprintr. It is the delivery vertical of LogiNext Solutions, a big data startup in the logistics space. Have a look at what they are doing at

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