Improve order conversion rate: Optimize recommendation modules such as homepage, product detail pages, and checkout pages, optimize push content and lists, and increase product clicks on category pages and search result pages. Reduce management/development costs: maximizing profits from promotional discounts, forecasting new product development, managing distribution channel demand, predictive maintenance of equipment, and shelf analysis.
Improve user stickiness: Personalized level/gift pack/reward recommendation, prolong usage time, and improve user retention. Customer and process management: false data and account exclusion, user label classification, file asset identification and inventory. The whatsapp list above demand scenarios are only a small part of common AI technology applications. If you want to know more about the technical application possibilities of machine learning and deep learning, you can join AWS immediately and leave your contact information and project requirements.
AWS machine learning specialists will contact you as soon as possible. contact you! Get $300 to start your machine learning journey on AWS! AWS map Photo Credit: AWS Simple form application + start-up fee = start the journey of machine learning in AWS How to properly use AI technologies such as machine learning will inevitably become a key factor for success in future business competition. In order to help companies interested in using .