Blending Live Shopping with Artificial Intelligence
to create a unique Live Stream Commerce Platform
What is GOLIVE
THE NEW RETAILER FRONTIER
Live Stream Shopping is the combination of streaming video and e-commerce. This brings consumers one step closer to the in-person experience.
Traffic information and dashboards in real time
Customer Intelligence based on advanced analytics and data management technologies
Sentiment analysis in real time thanks to Machine Learning
Easy to use UI/UX experience
Enhance of sales conversions and brand awareness
How GOLIVE works
Simplifying and accelerating developments in Advanced Analytics projects and Machine Learning enabled Decision Support Systems.
Live views
Chat Messages
Clicks on products
Purchases
Traffic analisys
Geographic information
Sentiment analisys
Conversion funnel
Customer Intelligence
The Customer Intelligence process contains a collection of customer data via multiple channels and includes technologies for feedback management, social media monitoring, Natural Language Processing (NLP) as well as other advanced analytics and data management technologies.
GOLLIVE Goals
We have integrated NLP with shoppable videos and contents. GoLive leverages an analytical process that uses real-time analytics and artificial intelligence algorithms to extract insights always updated and accurate. The platform collects, analyzes, and sorts chat anonymized data into relevant categories.
Sentiment Analysis
Through Sentiment Analysis in a live show, a Brand can measure how customers feel about different aspects of its products. Our approach consists of recognizing the sentiment based on the words and their order using a sentiment-labelled training set and a deep learning technique.
Emotional Analysis
Emotional Analysis highlights the nuances between the different feelings readers express. While sentiment analysis helps a Brand to know how his content is performing, emotional analysis leads to understanding why.
In GoLive 9 different types of emotions are extracted.
Topic Modeling
In GOLIVE topic modeling is conducted through an unsupervised machine learning method to all the questions made by the viewers during a live show. The questions are then grouped in 7 different themes.
