A next-level data platform for retail AI, with the thinking behind it.
The Cybex Retail AI Data Hub turns your existing BI data warehouse into a feature-ready foundation for allocation, replenishment, forecasting, pricing, and store operations. Paired with twenty-four essays of strategic thinking and a delivery-first advisory practice led by operators who have built these systems for twenty years.
The Cybex AI Data Hub: a unified foundation for retail AI
Connect every retail system — POS, WMS, ERP, eCommerce, loyalty — into a conformed, governed, AI-ready data platform. Feature-engineered for the decisions that actually run the business: allocation, replenishment, demand forecasting, price and promo, store operations.
See the platform →The Cybex Quarterly
Twenty-four essays on retail AI, analytics, merchandising, pricing, and operations — a published body of work written by the same practitioners who would build for you.
Read the Quarterly → PlatformThe AI Data Hub
A unified, retail-native data platform. Pre-built connectors, conformed models, AI-powered quality, enterprise-scale performance — deployed cloud, hybrid, or on-premise.
Explore the platform → AdvisoryConsulting Practice
Twenty-four practice areas across four service lines. Diagnostic-led, delivery-first advisory by an operator with Deloitte, PricewaterhouseCoopers, and IBM heritage.
See our practices →Sources → Warehouse → Feature Store → AI Applications.
Adapters map your native schemas — POS, eCom, ERP, WMS, loyalty, supply — into a conformed retail model. The feature store delivers curated signals (SiteIX, SizeIX, WOS, elasticities, embeddings) directly into allocation, replenishment, forecasting, and pricing workflows.
Full data lineage, quality gates, and SLAs throughout. Near real-time ingestion with change-data-capture streams. Role-based access, masking, and audit logging built in — not bolted on.
Unified Data Flow
Full lineage, quality gates, and SLAs throughout.
| Module | Key insights | Business impact |
|---|---|---|
| Allocation | Size-curve optimisation, demand-based store tiering, weeks-of-supply balancing | Reduce overstock 25–30%, cut stockouts across locations |
| Merchandising | Price-volume-mix analysis, LY/TY comp reporting, margin and markdown optimisation | Improve gross margin 3–5% with data-grounded pricing |
| Sales Audit | Transaction anomaly detection, discount compliance, void/return pattern analysis | Identify revenue leakage, reduce shrinkage up to 20% |
| CRM & Loyalty | RFM segmentation, churn prediction, personalised promotion targeting | Boost repeat purchase 15–20%, increase customer LTV |
| Assortment Plan | Cluster-based assortment, seasonal buy planning, style performance scoring | Optimise buy depth and breadth, 40% faster planning |
| MPOS | Real-time clienteling, inventory lookup, omnichannel fulfilment at point of sale | Increase average transaction value 10–15% |
Allocation
Demand-weighted store allocation with size curves, cluster logic, and constraint-aware assignment.
Read the playbook → MerchandisingMerchandising
PVM analysis, comp reporting, and margin discipline engineered into the merchant's working screens.
Read the playbook → Revenue AssuranceSales Audit
ML-driven transaction intelligence replacing rule-based audit. Anomaly detection with an eight-stage workflow.
Read the playbook → CustomerCRM & Loyalty
Behavioural segmentation, churn prediction, and campaign attribution — loyalty as a growth engine.
Read the playbook → MerchandisingAssortment Plan
Cluster-based assortment, seasonal buy planning, and style performance scoring for specialty retail.
Read the playbook → OmnichannelShopify Omnichannel
Shopify and Magento consolidated into one analytical surface — unified inventory, attribution, and customer.
Read the playbook → POSMPOS
Mobile point-of-sale with AI-assisted clienteling, inventory lookup, and omnichannel fulfilment.
Read the playbook → AnalyticsAI Insights
Three-stage pipeline from curated datasets to feature generation to executive dashboards and APIs.
Read the playbook →Cloud-Native
Azure, AWS, or GCP managed warehouses and object storage, autoscaling compute, and serverless APIs. Elastic to peak-season demand.
Hybrid
Keep POS and ERP on-premise; land data to cloud for AI feature generation and serving. Best of both worlds, without a forced migration.
On-Premise SQL Server
Leverage SQL Server 2025 with native JSON/binary JSON, Python ETL, and SQLite edge caches at the store level where latency matters.
The Cybex Quarterly — 24 essays on retail AI
Every practice in our advisory catalogue is paired with an essay — the analytical substrate that would inform the engagement. Written by operators who build the systems retailers run on, not a marketing team. Start with the flagship essay on AI strategy, or browse the full volume by topic.
Read the Quarterly →Ready to activate AI on your retail BI?
We will connect to your warehouse, map the native schemas to the Cybex conformed model, and light up feature stores for your first AI use cases — allocation, replenishment, forecasting, price and promo, and more. A working pilot in weeks, not quarters.
Or reach us directly at lazarbelos@gmail.com.