Empower Your Business With The Magic Of Machine Learning!
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Empower Your Business With The Magic Of Machine Learning!
To use technology so that we can find products searching from our Smartphone 70% of the time and from our computer.
To pay digitally from our mobile or from our computer .
Digital advancements are also bringing new consumer experiences in the store
The store experience is changing dramatically.
New businesses and startups offer cashierless checkout , software analytics for in-store consumer activity , customer shopping recommendations and robots that do the business!
In 1900 consumers would walk into the store, tell the clerk what they wanted, he would bring the products off the shelves, and the consumer would pay and leave.
In 1916, the 1916 o Clarence Saunders., founded the first store, a supermarket , Piggly Wiggly ,
where consumers would pick up the products from the shelves, take them to the cashier, pay and leave.
This will change dramatically in the coming years.
Shops without cashier. Shop 3000sqm (new version).
System with computer vision and Artificial Intelligence follow the consumer what products he puts in the cart.
It knows you because you are already an e-commerce customer and has your data.
It knows you because you are already an e-commerce customer and has your details.
It recognizes you from your photo.(Artificial intelligence with image recognition and Neural networks technology)
Amazon announced that it is now selling this technology. Just Walk Out , to other stores that want to use it.
Then ,in July 2020 Amazon announced a new service.Dash cart.
Amazon creates smart carts where the consumer puts the product in the cart.
The cart has computer vision and sensors so it understands the product you put in the cart.
When the consumer exits the store door , store sensors recognize the cart with the consumer and charge the consumer’s card.
The Dash cart is designed for small stores and is available at Amazon Fresh in California.
As Amazon uses the above technology to see what you put in your cart or what you buy, there are significant other companies that offer the same solutions.
Some of the top ones are… Standard Cognition with $150m series c funding , Zippin Trigo with similar investments.
Some companies are moving away from Artificial Intelligence and sensors from the roof and going to the trolley.
When the consumer puts something in the cart or trolley, understands the product and pieces.
The company Caper labs following this path. Its cart also has a credit card reader for leaving a store without a cashier.
For example, the company ? Mashqin has created a kiosk that uses computer vision and quickly confirms a consumer’s purchases when they are finished.
The consumer automatically pays afterwards with his credit card.
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Some other approaches use the consumer to scan the product alone.
After scanning it the whole other experience is quick and painless.
Supersmart , https://grabango.com/ and https://www.futureproofretail.com/
are building something similar.
Consumer actions in-store are very important and a number of technologies are coming out to provide relevant data to the business.
An important company is the ? Focal systems which uses cheap in-store cameras, collects data on store usage and employee performance to reduce operating costs.
Also in store intelligent shopping assistants can gather additional information about consumers shopping preferences , what other products they want and the store does not have them ,
When consumers enter the store, they often need help with recommendations about products they would like to buy.
A number of tools are coming out that use Artificial Intelligence and machine learning can predict what a customer would like to buy from the store and suggest it on their mobile device.
Mobiplus is such a system that after the consumer downloads an application on his mobile phone , it is connected to the e-commerce environment of the business.
There it uses Artificial Intelligence , machine learning and business data and can predict what this consumer wants to buy and recommend it.
The consumer when enters the store often needs help with recommendations on products they would like to buy.
A number of tools are coming out that use Artificial Intelligence and machine learning can predict what the customer would like to buy from the store and recommend it on their mobile device.
They can interact with speech , text and smartphone browser , present products in a digital display , quide you where are the products in the store.
Also gather additional shopping information about you and use them to enhance the existing recommendation engines in store and e-commerce.
Mobiplus Annie intelligent shopping assistant is such a system that offers interaction with consumers when they enter the store through speech and smartphone and the recommended products are shown in digital signage in front of him .
It connects though an API with retailers mobiplus shopping recommendation platform in an easy way.
It uses Artificial Intelligence , machine learning and shopping data of the retailer and can predict and recommend products to new and existeing customers.
It uses Artificial Intelligence , machine learning and shopping data of the retailer and can predict and recommend products to new and existeing customers.
Many new customers come to the stores every data and retailers need to collect customer information and their permission for further communication.
Mobiplus Annie intelligent shopping assistant offers such capability by obtaining customer contact information during their interaction , with customers permission.
Some businesses use robots that move around the store and look at product prices and availability.
One such company is the ? Simple robotics with the robot Tally.
Some stores now use 1/3 of their space as storage and delivery space for e-commerce purchases.
Having a significant portion of the cost of the warehouse paid for by the other regular store operators this route is interesting.
It enables the company to offer product delivery in a short period of time, e.g. 1 hour, serving consumers in the area at low cost.
The store of the future is coming and will give a new experience to the consumer where they can buy products with minimum friction , discovering products they would like to buy and all very personalized.
The store of the future is coming and it will give a new experience to the consumer where they will be able to buy products with minimal friction,discovering products they would like to buy.
The retailers will have important insights into the operation of the store, the behavior and needs of the consumer.
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