Seery - AI analytics for Shopify

Hello Product Hunt! Super excited to be here. I'm Hrvoje, founder of Qualia Data Sciences and Graphite Note LTD. I have been in the business intelligence and data visualization space for almost 20 years, bringing dashboards, charts, and analytics to my clients. In the last 5-6 years, we did a number of Data Science / Machine Learning project for clients in various industries. I did notice that clients from eCommerce and retail space keep asking same questions – sales forecasts, timeseries forecasts, churn, customer lifetime value, different predictive analytics, … So, we decided to compile the most popular questions, make automatic data connection for Shopify users, and Seery app was born. Benefits Overview Plan for the future with an accurate sales forecast in hand. Automated ML-based customer segments for deeper understanding and targeted marketing Track the most important KPIs like AOV - Avg Order Value, ARPU - Average Revenue per User, ANO - Average No of Orders ... Understand repeat customers, churn rate, and CLV - Customer Lifetime Value, for groups or for every single customer Powerful Cohort Analysis with filters per customer segments. About Seery If you don't have the resources to hire expensive data scientists every month or to subscribe to costly predictive analytics software, Seery is the app for you. Coming from the business intelligence and data science team at Qualia, Seery brings complex and project-proven AI/Machine Learning methods at your fingertips. --> Works best for shops that have at least 3 months of orders and customer data. Key Features Monitor your business in a powerful Dashboard showing key information in one place. Revenue Forecast - powered by Seery machine learning algorithms. Based on historical data, weekly and yearly seasonality, holiday effects, and anomalies detection. Statistics and Averages - track one of the most important metrics for your business and monitor overall business health. Average order value (AOV), Average Revenue per User (ARPU), Average No of Orders per Customer (ANO), and more, with historical trends. Customer Segmentation - Based on research eCommerce papers and Machine learning-algorithms, this segmentation provides an effective analysis for decision-makers to target their customers and develop appropriate marketing strategies according to their previous behavior. Detect your Active, Lapsing, and Lost, break down by High, Medium, or Low-value customers. Cohort Analysis - start understanding customer retention through all historical data; do a powerful analysis of customer behavior based on customer segments. Customer Lifetime Value - Seery can predict how much and how often will EACH repeat customer purchase. Based on that fact, a CLV is calculated based on historical and predictive customer lifetime value. How does it work? After installing the app and connecting to your data, Seery will sync your orders and line items history. Advanced machine learning algorithms will then learn all relevant info about your business and your data. Once learning is over, you are ready to go! Looking forward for feedback and comments from the community! Hrvoje