Empower Your Business With The Magic Of Machine Learning!

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How to predict what your customer will buy in e-commerce!

The second step is to learn from the habits of your registered users, those who have left emails or addresses or phones or something else that can be linked to him. User  based Recommender Based on the data of your users’ actions to date, it can predict what they will buy afterwards. Record the following

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How your product recommendation engine starts working in e-commerce!

Within your eshop and your business you have a lot of data that is now the fuel of your revenue engine. These data are: Product data with description, prices, availability, sales per product, cliks, length of time consumers stayed with the product, what product they bought with it Consumers with what products they have bought

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You are living in an old e-commerce era today!

The pandemic we are living with covid-19 will cost the global economy over $5 trillion and will bring major changes in the way businesses do business! A major change will be that consumers will be more digital than before and many consumers who were not close to digital communication are now. There will be more

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Customer Recommendations – The new era of e-commerce and instore !

Artificial Intelligence in retail industry. 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

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