Next-Level Data Platform for Retail AI Applications
The Cybex Retail AI Data Hub turns your Retail BI data warehouse into a feature-ready platform incorporating data science, serving allocation, replenishment, forecasting, price & promo, and store ops with trustworthy, real-time data.
Unified Data Flow
Sources → Conformed Warehouse → Feature Store → AI Apps. Full lineage, quality gates, and SLAs throughout.
Built on What You Already Trust
Leverages your existing Retail BI warehouse and conformed models—no rip & replace. Keep your POS/ERP as systems of record.
Feature-Ready for AI
Delivers curated features (SiteIX, SizeIX, WOS, elasticities) that plug directly into allocation, replenishment, forecasting, and pricing models.
Governed, Fast, Reliable
Data contracts, quality checks, lineage, and versioning—backed by SLAs for freshness so ops teams can depend on it daily.
Reference Architecture
- Ingest: Batch & CDC streams from POS, eCom, ERP/WMS, planning, loyalty.
- Model: Conformed dimensions (Style, SKU, Site, 4-5-4 calendar), retail facts (Sales, InventoryOH, Orders, Receipts, Transfers).
- Curate: Marts for allocation/replenishment, price/promo, forecast, and store ops.
- Serve: AI Feature Store (online/offline), SQL endpoints, and governed APIs.
- Observe: Lineage, tests, anomaly alerts, and freshness dashboards.
Plug-and-Play Integrations
Adapters map native schemas into conformed retail models so downstream AI features are consistent and reusable.
What’s Inside
AI Feature Store
- • SiteIX, SizeIX, SeasonIX
- • AvgWeeklyUnits, WOS, Deficit/Surplus
- • Price/PVM features, promo lift factors
- • Embeddings for products & stores
Operational Data Marts
- • Allocation & Replenishment
- • Forecasting (4, 13, 26 weeks)
- • Price & Promo Science
- • Store Ops & Workforce insights
Quality & Lineage
- • Data contracts & schema checks
- • Freshness SLAs & incident alerts
- • End-to-end lineage & versioning
Performance
- • Columnar storage & vector indexes
- • Caching for hot features
- • Online/Offline stores for training & serving
APIs & Access
- • SQL endpoints & REST/GraphQL
- • Python connectors (pandas/SQLAlchemy)
- • Role-based views for BI & apps
Retail Calendar & Seasonality
- • 4-5-4 calendar support
- • Season curves & size curves
- • LY vs TY normalization
Core Retail Insights
| Module | Key Insights | Business Impact |
|---|---|---|
| Allocation | Size-curve optimization, demand-based store tiering, weeks-of-supply balancing | Reduce overstock by 25-30% and cut stockouts across locations. |
| Merchandising | Price-volume-mix analysis, LY/TY comp reporting, margin and markdown optimization | Improve gross margin by 3-5% with data-driven pricing decisions. |
| Sales Audit | Transaction anomaly detection, discount compliance, void/return pattern analysis | Identify revenue leakage and reduce shrinkage by up to 20%. |
| CRM & Loyalty | RFM segmentation, churn prediction, personalized promo targeting | Boost repeat purchase rates by 15-20% and increase customer LTV. |
| Assortment Plan | Cluster-based assortment, seasonal buy planning, style performance scoring | Optimize buy depth and breadth with 40% faster planning cycles. |
| MPOS | Real-time clienteling, inventory lookup, omnichannel fulfillment at point of sale | Increase average transaction value by 10-15% with AI-assisted selling. |
Use-Case Playbooks
Security, Governance & Observability
Access Control
SSO, RBAC/ABAC, row-/column-level security, PII tokenization.
Data Contracts
Schema & quality checks on ingest; breaking changes blocked by policy.
Lineage & SLAs
Column-level lineage, freshness SLAs, anomaly alerts, incident runbooks.
Deployment Options
Cloud-Native
Azure/AWS/GCP managed warehouses and object storage, autoscaling compute, serverless APIs.
Hybrid
Keep POS/ERP on-prem; land data to cloud for AI features and serving.
On-Prem SQL Server
Leverage SQL Server 2025 (JSON/binary JSON), with Python ETL and SQLite edge caches where needed.
Fast start: drop-in adapters for Assortment Plan, Merchandising, Allocation, Forecasting,Store Ops,Shopify, Sales Audit. Typical pilot: 6–8 weeks from ingest to first AI decisions.
Explore Our Deep Dives
Go beyond the overview with our comprehensive blog series on retail AI, data science, and operational excellence.
Ready to activate AI on your Retail BI?
We’ll connect to your warehouse, map schemas, and light up feature stores for your first AI use cases—allocation, replenishment, forecast, price & promo, and more.