Empower Your Business With The Magic Of Machine Learning!
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Empower Your Business With The Magic Of Machine Learning!
We all have our passions and we like to shop for different things.
For some it may be clothing, jewellery or electronics.
For others, it may be furniture, artwork or cars.
However, there are also products we need that do not bring such joy or interest.
In fact, statistically, about 50% of the food and household items we buy are not things we consciously buy, but items that we simply and systematically replenish.
We buy exactly what we bought last time and, in many cases, we buy these products at exactly the same time every week or month.
Sure, we may like going to the grocery store to personally pick out a few items, but a 20-pound dog food bag is not one of them.
This habitual tendency of customers is probably what prompted Amazon in 2014 to file a patent for a logistics system it called Anticipatory shipping .
Amazon predicts what you want to buy using Prediction Engineering (section of Artificial Intelligence ) and calculates that it could start shipping items to customers before they order them.
Maybe before they realize they need them.
This could be possible, according to the patent, with Recommendation Enginering and customer purchase data and others , which would predict the habitual shopping behavior of customers and move the products most likely to be ordered closer to the consumer.
Such a system would allow the to Amazon to dramatically reduce shipping times and transportation costs.
And it becomes clear that Amazon wants to capture 50% of our consumption that requires no thought.
To learn how the top companies in the world increase revenue up to 30% from existing customers using Recommendation Systems and Personalization read the book below.
https://mobiplus.co/ebooks/customer-rediction/
Meanwhile, Walmart seems to have other plans to get even further into the lives and homes of its customers.
In 2017, the company filed a patent for the design of a store that is fully automated.
What made the filing particularly unusual, however, is that Walmart proposed that these stores be built directly in the customer’s home!
According to the patent, the phased structure, similar to the feast, will allow customers to simply pick up what they want, charge it to their account and have it regularly refilled by Walmart’s delivery teams.
In addition, the system, with Recommendation Engineering capability, will predict what other interesting products the customer would like and take them home without ordering them.
It thus reduces logistics and shipping costs and provides one less reason for the customer to be able to shop elsewhere.
Contact us now , to see how the mobiplus shopping recommendation platform can give you the above features and increase your revenue. 30%.
mobiplus member Elevate Greece
Confirmed Innovation.
Test out the Recommendation Engine for up to 20.000 euros in revenue from recommendations. No credit card required. Just enter your company information and we’ll contact you with all the details.
