Empower Your Business With The Magic Of Machine Learning!
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Empower Your Business With The Magic Of Machine Learning!
Today retail businesses face a lot of competition both instore and e-commerce .
The internet offers a wide range of options and consumers now have easy access to the international market.
In fact, there are 25 million eshops internationally and are rising and thousand of stores close to the customer to satisfy her needs.
This means that the consumer has access to many different businesses and at the same time has the ability to compare prices between e-shops and choose the one that best suits his criteria and the money he wants to spend for each purchase.
Before visiting a store, 60% of consumers have searched the internet for the product they want to buy, its features and the prices at which it is available.
Also 60 % of the customers that enter your store they do not have an exact idea of what they want.
Also, it is very common for the consumer to carry out this research through their mobile phone.
More specifically, 70% of consumers research for products via their mobile phone.
During this market research, the consumer visits many different eshops.
However, the time spent in each e-shop is 4 minutes an average .
This time, as you can understand, is not sufficient for him to browse your e-shop and see all the products he is interested in until he finds the specific product she is looking for.
Also, many consumers when conducting a survey may not have a specific product in mind, or may not be ready to buy at the time and are simply considering their options.
What is certain is that consumer habits are changing significantly day by day due to political, economic, social and environmental conditions.
Nowadays it seems that the profitability levels for businesses with eshops and stores are quite low.
As a result, large gaps are made in advertising with the aim of attracting new customers and getting to know the brand.
This advertising is now done through multiple communication channels such as ads on Google, Facebook, Instagram, TV, radio and more.
To deliver these ads and target the customers, advertisers rely on data from each business’s customers.
However, it is not possible for them to know exactly which products the consumer wants at that particular time.
The new era has already made its entrance through the prediction of the consumer’s purchases as well as recommendations based on products she has already purchased ,what is now browsing and what is now looking in the sore.
It is very important for a business to enter the prediction era, which needs a different approach to communicating with the consumer.
This approach should be guided by:
The technology of the new age , product recommendations , is based on the analysis and then prediction of which products are sold to which consumer and when.
Thus, it is possible to predict what each consumer will buy in the future, to approach them in a targeted way when they come to your store or e-shop for the purchase.
Also , when the company recommends products to the consumer ,that he wants to buy or products that are directly related to the purchase that he is ready to make, the customers are delighted by the brand and at the same time the company increases its profitability.
When the above is fully understood by businesses, it becomes easy to understand why one needs to have and utilize product recommendations.
You don’t have to wait for the consumer to reach you.
But you business now has the ability to predict when and what each consumer wants to buy and recommend them.
Through the mobiplus Shopping Recommendation Platform, you can predict what the consumer wants to buy and inform him, at the moment he wants to buy in ecommerce , instore , in his smartphone via email or mobile notifications.
These predictions are already made today with considerable accuracy, which will continue to improve in the future.
It is already used by leading businesses such as Amazon ,Netflix , youtube, tik tok , alibaba and thousand others.
It is estimated that in 2025, about 463 exabytes of data will be produced per day (about 230 million CDs per day) which will help you as a retail business to predict with great accuracy what your customers want to buy and to notify them.
Thus, you will be able to recommend to each consumer individually the product that interests him, at the price and at the time that interests him.
This is what the mobiplus Shopping Recommendation Platform offers you.
Contact us today!
To learn how the top companies in the world increase revenue up to 30% from existing customers using Artificial Intelligence and prediction engineering , read the following book.
https://mobiplus.co/e-books/e-book-proevlepse-ti-tha-agorasoun-oi-pelates/
See how the Lartigiano chain increases revenue and cart with Artificial Intelligence!
750 extra products in the cart in 10 days!
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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.
