Empower Your Business With The Magic Of Machine Learning!
Why Amazon started using recommender systems.
Why Netflix, facebook, TikTok use recommenders.
How small, medium and large retail stores and e-commerce benefit from Recommendation engineering.
How your e-shop and store can predict what customers will buy and recommend it.
How Artificial intelligence algorithms using your eshops shopping data can predict what the customers that enter the eshop want and recommend it.
Where are the recommendations shown, how they are shown and how are created.
How does mobiplus shopping recommender gives you additional 10.000 euro per 80.000 euro you make today!
How you increase conversion rate to e-commerce from 2% to higher!
How the store can also offer personalized product recommendations, expand the product range of the brick-and-mortar store, use the online store to showcase products and purchases, collect 30,000 customer data per store per year as well as offer customer service by simply speaking to Annie Intelligent instore shopping assistant.
What are the steps to create a leading and personalized e-shop and store and move to the new era of retail, the prediction era!
What are the costs for stores and e-shops to move to the personalization era?
What other innovations the prediction era brings to retail and e-commerce!
For retail business leaders , e-commerce professionals , ecommerce owners and digital marketing professionals that want to comprehend how e-commerce personalization happens and increases revenues up to 30%.
Learn why instore personalization and shopping data is the name of the game.
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.