The impractical and impossible dream of Hyperloop

Here is the video about such a nice promise of hyperloop transportation system. 

Here is an explanation 

Let’s take an example travel between Pune and Mumbai distance of 160kms, there are 30 trains each train takes around 800 passengers. Number of buses are 300 per day so and each bus taking 30 passengers now if you calculate the total one-way traffic it comes to around 33,000 passengers.

Consider these passengers now want to travel in Hyperloop transport system. As you see even if let’s say half the travellers decide to travel in hyperloop the system it will need to board one passenger every 5 seconds. Considering the safety aspects and am guessing there is some distance between two hyperloop pods it’s not going enough with one track and thus increase the investments or less number of travelers can travel. 

More feasibility study in terms of capacity planning and its affordability is needed. 

AI and Machine Learning

Reducing costs and improvement in efficiency is always an agenda for most businesses and particularly so for online ordering and shopping. Customers see these efficiency by means of using the online product and of course is reflected in the cost savings of the shipments. Ease of doing business and can be achieved by deep-learning, machine and other efficiency algorithms. Research has provided many great algorithms and can be applied to transactions and applying to its variables such as sales, searches, patterns to predict what customers will buy.

AI system development today is lot easier and proved to be reliable—it predicts with accuracy and need less human intervention. It would be impossible in some cases to go through the volumes of data by a person to scrutinise the variety of products and hence machine processing Is the way to the future. Online retailing is an obvious are to apply  machine-learning technology and seek returns.

Overall the supply chain will improve in efficiency and also customers get items sooner, which improves customer retention and the technology is also benefiting the environment, because fewer transactions due to efficiency improvement.

AI will still need more work and hence the people but the touch points are taken care by AI. Product uniqueness need more research continuously tweaking algorithms and also efforts to be able to be competitive with giants such as Amazon and Google. It’s always going to be catch up game with race to new features.