Real-Time Predictive Analytics
Don’t wait for hours for your time-critical business insights. Get all your charts and reports with less than 1 Second latency.
LTV and Inventory Forecasting
Identify key customers in advance based on our LTV prediction. Inventory management gets better with our inventory forecasting feature.
Easy-to-use UI based ML workflows. Build, train, test and deploy ML models. Make predictions and identify patterns.
IQLECT brings enterprise-grade real-time predictive analytics and data science platform for your Shopify store. Boost conversions, improve sales, make accurate predictions and identify trends with our predictive analytics and machine learning capabilities.
- Quick setup, cost effective and affordable
- 25+ dashboards, 270+ ready-made charts with enhanced data visualisation and customisation options
- Real-time streaming analytics and AI to boost e-commerce business
- Data Science platform - choose from in-built ML algorithms, deploy and test ML models
1. Real-Time Analytics
- Get all your reports, charts and predictions in sub-second latency
- Keep a track of every activity on your online store in real-time and make quick business decisions.
2. LTV Prediction
- Pre-built ML Model to predict LTV of your customers
- Includes session level data like demographics of the user, campaign and referrer information for improved accuracy
3. Campaign Engagement Scoring
- Go beyond “last touch” attribution source. Evaluate impact of each campaign used by user in multiple visits before he/she made the purchase
- Campaigns are evaluated not just by conversion but based on engagement activities like session count, return visitors, products viewed etc.
- Get customer wise campaign performance report for deeper customer and campaign insights.
4. Inventory Prediction
- Pre-built ML model to predict the stock for each product for upcoming weeks or months
- Model keeps training itself with real-time changes in stocks and seasonality
5. Predictive Lead Scoring
- Predict the propensity of user to buy a certain product in real-time
- Convert anonymous user to paid customers with pop-ups which get triggered based on their predicted propensity
- Improve ROI with targeted discounts instead of blank site-wide promotions
6. Data Science Capabilities
- UI driven Machine Learning workflows
- Choose from in-built algorithms, train, test and deploy production ready models
- No need to worry about infrastructure, free your self from dataOps/MLOps activities.
7. Comprehensive Reports and Fully Customizable Dashboards
- Gain actionable insights from 25+ dashboards, 270+ ready-made charts with enhanced data visualisation
- Add more dashboards, KPIs, charts as per business need – totally extensible
8. Custom Notification and Reports
- Fully customizable reporting section. Get regular updates on various business metrics at frequency of your choice
- Identify not just one-time events but events occurring multiple times over certain duration
- Setup notifications via SMS, email or slack
See the app in action
Explore how the app works in an example store.View example store
All Analytics in Real-time
Product, Checkout & Cart Analysis
Campaign Performance Analysis
User Behaviour Analysis
Max Catalog 200 items
LTV & Inventory Prediction
Campaign ROI Analysis
Reports and Alerts
Max Catalogue 1000 items
Data Science Studio
Data Prep Studio
Custom Report and Alerts
Custom Visualisation Layer
* All charges are billed in USD. Recurring charges, including monthly or usage-based charges, are billed every 30 days.
Overall rating Based on 2 reviews
Most recent reviews
Great Analytics App. UI needs some work lil bit easy to read & understand. Rest is great. Great work team
Thanks a lot Gabbarr Team for the review. We are updating the UI and the hopefully you will see an update version which should resolve this.
Decent Analytics App. It's like having Live View for all the insights which is pretty cool. The product and cart level analysis are nice. Features are nice, UI needs some work.
Thanks a lot Nukkads for the kind words. The feedback is loud and clear and our team will continue to make the improvements for a better UI.