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AI-powered tool to build and monetize your X (Twitter) audience.

Unlock hyper-personalized customer loyalty through AI-driven predictive analytics and POS integration.

Como is a leading global customer engagement and loyalty platform that, by 2026, has solidified its position as a pioneer in 'Actionable AI' for the retail and hospitality sectors. Its architecture revolves around the Como Sense engine, which ingests real-time data from Point of Sale (POS) systems, mobile apps, and e-commerce platforms to build comprehensive 360-degree customer profiles. The platform's technical core utilizes machine learning models to perform churn prediction, lifetime value (LTV) forecasting, and automated RFM (Recency, Frequency, Monetary) segmentation. Unlike generic marketing clouds, Como's unique advantage lies in its deep, bi-directional integrations with over 100 POS systems, allowing it to close the loop between digital marketing and physical transactions. For 2026, Como has integrated generative AI layers to automate campaign creation and personalized offer generation, moving beyond simple automation into autonomous customer relationship management. The platform is designed for mid-to-large enterprises requiring scalable, data-driven tools to combat customer acquisition costs through high-retention strategies.
Como is a leading global customer engagement and loyalty platform that, by 2026, has solidified its position as a pioneer in 'Actionable AI' for the retail and hospitality sectors.
Explore all tools that specialize in churn prediction. This domain focus ensures Como delivers optimized results for this specific requirement.
Explore all tools that specialize in personalize customer experiences. This domain focus ensures Como delivers optimized results for this specific requirement.
Uses XGBoost algorithms to identify customers with a high probability of lapsing based on transaction intervals.
Real-time recalculation of customer segments based on every transaction.
Genetic algorithms determine the optimal discount level required to trigger a purchase without eroding margins.
Proprietary bridge technology that syncs member data directly into the POS checkout flow.
Multi-touch attribution modeling that links digital ad views to in-store purchases.
Trigger-based workflows that deploy personalized incentives via SMS/Push when specific behavior patterns are detected.
Integrates with mobile SDKs to trigger notifications when customers are within a defined radius of a store.
POS Compatibility Check - Verify integration capability with existing Point of Sale hardware/software.
Account Provisioning - Establish the Como Hub administrative environment.
API Key Generation - Generate secure credentials for data synchronization.
Data Mapping - Align legacy customer database fields with Como's standardized schema.
Integration Setup - Execute the bi-directional sync between POS and Como Cloud.
Loyalty Logic Configuration - Define earning rules, tier structures, and reward triggers.
Frontend Customization - Brand the mobile app or web-based loyalty portal.
Machine Learning Training - Upload 12 months of historical data for initial predictive modeling.
Pilot Testing - Conduct end-to-end transaction testing at a single physical location.
Full Deployment - Roll out to all business locations and activate automated campaigns.
All Set
Ready to go
Verified feedback from other users.
"Users praise the deep POS integration and the accuracy of the predictive engine, though some find the initial setup complex."
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