The document discusses how technological advancements enhance last mile delivery efficiency through cost optimization, real-time tracking, and better route planning. It emphasizes the potential of incorporating AI and machine learning for route mapping and the use of crowdsourcing and gig work models. The viability of autonomous delivery robots is also highlighted, with significant growth projected in their market value by 2030.

1. T I P S
T I P S
HOW TECHNOLOGY
ADVANCEMENT MAKES
LAST MILEDELIVERY
EFFICIENT?
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STEP 3
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Cost Optimization
Real Time Tracking
Better Route Planning
Robotic Delivery
The first hurdle to cross is cost efficiency. In order to
lower the cost of last mile delivery, we need to
implement use of technology at the ground level.
There is certain easy way Last mile delivery logistic
solution can fix it, such as crowdsourcing. Instead of
employing a delivery person full time, make it a gig
work.
Currently most delivery companies use this
technology but not as effectively. Real time tracking
allows customer to pin point location of their parcel
instead of tracking location of warehouses.
By incorporating AI and machine learning to your
custom software development of last mile delivery,
we can map out better route. Instead of depending
on delivery person, they can rely on the technology to
guide them on most cost-effective route.
We all have seen those pictures where robots are
being used for everyday work, but how realistic Is the
vision? It is more practical than it sounds.
Autonomous Delivery Robots is currently valued at
USD 42.92 Million in 2021 and it is projected to reach
274.37 million by 2030.
www.vrinsofts.com
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