Ecommerce is evolving through the use of artificial neural networks and big data. Artificial neural networks can be used for image recognition, natural language processing, language translation, and speech recognition to help filter customer reviews, recognize customer emotions, and help customers make purchase decisions. Image recognition technology can match products to images to provide suggestions. Analyzing purchase history and customer data through natural language processing can allow companies to intelligently forecast purchases and modify product libraries, enabling anticipatory shipping and outsourcing regular purchases to intelligent machines. Smart use of big data is key to powering these new ecommerce applications.

1. THE ECOMMERCE MAKEOVERBIG DATA

2. Ecommerce is evolving! more efficientmore personalized

3. ARTIFICIAL NEURAL NETWORKSWHAT IS ANNs? THANKS TO

4. IMAGE RECOGNITION NATURAL LANGUAGE PROCESSING LANGUAGE TRANSLATION AUTOMATIC SPEECH RECOGNITION

5. NATURAL LANGUAGE PROCESSINGONE

6. Filtering reviews into a summary of pros & cons

7. Help customers make confident purchase decisions

8. Machines recognize emotional signals like hesitancy, excitement through voice or facial recognition REALITY?

9. IMAGE RECOGNITIONTWO

10. Visual search technology matches products to images in context

11. Good bye, tags! Hello, Glass. Detecting eye fixation & field of view to load product suggestions!

12. Upload photo to match it against product catalog! HOW TO GET CATALOG?

13. FORECAST PURCHASESTHREE

14. Intelligently filter & modify online libraries based on auto-tags

15. anticipatory shippingAmazon will shiporderbeforeit’s even placed!

16. Outsourcing grocery shopping or regular buys to an efficient, intelligent machine! FUTURE

17. Smart big data is the core! SOURCE: GetElastic

18. How to get data for ecommerce? Click here