How machine learning is solving delivery Issues for Amazon

 With more than 100 million users on its platform, Amazon knows that Indian buy and how one part of the region different from the other. The key area of driving this know-how is data, which is even propelled by the company own machine learning initiatives. These measures will also lay the foundation of the artificial intelligence based shopping in the future.

The director of Machine Learning at Amazon, Rajeev Rastogi, told in a report that about how the Machine Learning addresses the India-specific concerns on the product quality issues, customer feedback, regional languages and preferences, and infrastructure and payment challenges.

He also revealed that the customer anecdotes are a very powerful mechanism for us, and wat the time of taking the customer feedback and talk about the latest reviews, certain metrics, and policies, or if we see that how many damages on our product those are some of the cases when our ML team take the notice. In other instances, we also get feedback like the certain prices which are not just competitive or the delivery was taking so long time.

The feedback of the customer is always going to be one of the most important factors to improve your service. We can use customer behavior to optimize the systems.

As it also helps us to understand why an item did not sell well. The data behavioral will also tell us there is a problem but not the root cause of the problem. Amazon as of now also has a large number of customers data, to train models and get the insights from the data.


Written by Udit Agarwal

Startup/Tech News Correspondent, Responsible for gathering information on the tech companies working on IOT, AI, ML, Cloud, Mobile Technologies,

Udit can be reached at [email protected]

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