Modern retailers operate across multiple channels—physical stores, online marketplaces, social commerce, mobile apps—each generating valuable data in isolated silos. Your Shopify or Magento store contains rich information about customer behavior, product performance, inventory movement, and sales patterns, but this data often remains trapped within the platform, making cross-channel analysis nearly impossible.
The consequences of data fragmentation are significant:
Cybex AI Platform provides enterprise-grade data connectors for Shopify and Magento that automatically extract, transform, and load your e-commerce data into a unified analytics environment. This integration unlocks the full potential of your online business data, enabling advanced analytics, machine learning, and AI-powered insights across your entire retail operation.
Rather than accessing fragmented data across multiple platforms and databases, Cybex AI creates a single source of truth that combines e-commerce transactions, customer behavior, inventory data, marketing performance, and operational metrics. This unified dataset becomes the foundation for sophisticated analytics, predictive modeling, and AI-driven decision-making.
Your teams work from one consistent dataset, eliminating discrepancies, reducing reporting time, and enabling insights that were previously impossible when data lived in separate systems.
REST API with OAuth 2.0, webhook support for real-time updates, GraphQL for complex queries. Respects Shopify rate limits and uses bulk operations for efficient data transfer.
REST/SOAP APIs, direct database access option for large datasets, support for Magento 2.x architecture, custom attribute mapping, and extension compatibility.
Secure OAuth connection established between your e-commerce platform and Cybex AI. No passwords stored; token-based authentication with automatic refresh.
Historical data extracted in optimized batches. Typically 2-5 years of transactional history, all customer records, complete product catalog, and inventory levels.
Raw platform data normalized to Cybex unified schema. Custom fields mapped, calculations performed, data quality checks applied, relationships established.
Transformed data loaded into Cybex data warehouse with optimized schemas for analytics. Fact tables for transactions, dimension tables for products/customers/locations.
Webhooks and scheduled incremental updates keep data current. New orders, inventory changes, and customer updates flow continuously. Typical latency: 2-5 minutes.
ML models automatically trained on unified dataset. Forecasting, segmentation, recommendation, and optimization models update regularly with new data.
Pre-built dashboards, custom reports, and AI-powered insights available through Cybex interface. Export capabilities to BI tools, automated alerting, API access.
| Entity | Key Fields | Update Frequency | Typical Row Count |
|---|---|---|---|
| Orders | Order ID, date, customer, total, status, channel, location | Real-time | Millions |
| Order Lines | Line ID, order ID, SKU, quantity, price, discount, fulfillment | Real-time | 10x orders |
| Customers | Customer ID, name, email, phone, address, lifetime value, segment | Real-time | Hundreds of thousands |
| Products | SKU, title, description, category, price, cost, vendor, attributes | Hourly | Thousands to tens of thousands |
| Inventory | SKU, location, quantity available, committed, incoming | Real-time | SKUs × locations |
| Abandoned Carts | Cart ID, customer, items, value, abandonment time | Hourly | Varies widely |
| Refunds/Returns | Refund ID, order, reason, amount, restocked items | Real-time | 5-15% of orders |
| Discounts | Code, type, value, usage count, date range, restrictions | Daily | Hundreds |
Beyond raw platform data, Cybex enriches your dataset with calculated fields and derived metrics:
ML-driven customer clustering based on behavior, not just demographics. VIP, at-risk, growth, and dormant segments.
Forecast future customer value to optimize acquisition spend and retention efforts.
Identify customers at risk of churning before they leave. Trigger automated retention campaigns.
Recommend optimal engagement strategy for each customer based on propensity models.
Track customer groups over time to understand retention, repeat rate, and value development.
Multi-touch attribution connecting marketing channels to conversions and revenue.
Predict future sales by SKU, accounting for seasonality, trends, and promotional impact.
Recommend optimal stock levels to minimize stockouts while reducing carrying costs.
Identify underperforming products and white space opportunities in your catalog.
Measure how price changes impact demand for intelligent pricing strategies.
Product affinity analysis to power "frequently bought together" recommendations.
Early warning system for products trending toward obsolescence requiring markdowns.
Track ROI across email, social, paid search, and affiliate channels with unified attribution.
Understand why customers abandon and optimize recovery campaigns with A/B testing.
Analyze promotional effectiveness and recommend optimal discount levels by segment.
Calculate true CAC by channel and compare against LTV for profitability analysis.
Identify lapsed customers with highest probability of reactivation and optimal offers.
Predict optimal send times, subject lines, and content for each customer segment.
Track shipping times, carrier performance, and delivery success rates by region.
Identify products with high return rates and analyze reasons to reduce returns.
Forecast order volume during sales events and holidays for capacity planning.
Track payment method preferences, decline rates, and fraud patterns.
Understand regional performance, shipping costs, and market penetration opportunities.
Analyze channel performance, conversion rates, and customer behavior differences.
The true power of Cybex AI emerges when e-commerce data integrates with your other retail systems. The platform creates a complete view of your business by connecting online and offline data sources.
Track customers as they move between channels:
A mid-sized fashion retailer with 75 stores and a Shopify e-commerce site integrated both data sources into Cybex AI Platform.
Discovery: 34% of online customers also shopped in stores, but this wasn't visible before integration. These omnichannel customers had 2.8x higher lifetime value than single-channel shoppers.
Action: Created targeted campaigns encouraging online-only customers to visit stores (with in-store offers) and store-only customers to browse online. Implemented BOPIS and same-day delivery.
Results: Omnichannel customer percentage increased from 34% to 51% over 12 months. Total customer lifetime value increased 23%. Online revenue grew 45% while store comp sales increased 12%.
Unified inventory view prevents stockouts and enables advanced fulfillment strategies:
Understand true marketing ROI when customers interact with multiple touchpoints:
Feed ecommerce demand signals into store ops to improve staffing, fulfillment, and merchandising decisions (e.g., forecast spikes after campaigns, BOPIS load balancing).
| Metric | Target | Notes |
|---|---|---|
| Data latency | 2�5 minutes | Webhook-to-warehouse |
| Backfill throughput | 100k+ rows/min | Bulk endpoints where supported |
| Uptime | 99.9% | Connector service availability |
| Data quality | >99.5% match | Platform parity checks |
Connecting Shopify or Magento to Cybex AI unlocks real-time, AI-ready data across your business. With unified schemas, robust governance, and production-grade pipelines, your teams move from manual reporting to proactive, predictive decisions that lift revenue and efficiency.