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Executive Overview

Transform Your Retail Data Into Revenue

AI-powered decisions that drive margin, optimize inventory, and accelerate growth

The Business Case for Retail AI

In today's retail environment, having great products is table stakes. What separates high performers from the rest is how effectively they optimize enterprise resources—inventory, capital, labor, and customer relationships—through better, faster decisions. Cybex Retail AI Data Hub transforms your existing data warehouse into an intelligent decision engine that drives measurable business outcomes across every dimension of retail operations.

Margin

Measurable Improvement

Through precision allocation, dynamic pricing, and markdown optimization—impact varies by baseline and adoption

Capital

Working Capital Efficiency

By matching supply to demand with AI-driven forecasting and replenishment—freeing cash for growth

Speed

Rapid Deployment

Pilot to production in weeks, not years—built on your existing data infrastructure

Strategic Advantages

What You Gain

  • Built on your existing Retail BI warehouse—no rip and replace
  • Feature-ready data for 24+ AI use cases across your business
  • Enterprise-grade governance, lineage, and SLAs
  • Real-time sync from POS, e-commerce, WMS, and ERP
  • Flexible deployment: cloud, hybrid, or on-premise
  • Pre-built integrations with Shopify, SQL Server, Azure, AWS, GCP

What You Avoid

  • Lengthy multi-year implementations
  • Vendor lock-in with inflexible SaaS solutions
  • Data silos preventing unified analytics
  • High ongoing licensing costs that scale with revenue
  • Manual processes prone to errors and delays
  • Reactive decision-making based on stale data

High-Impact Use Cases

From cost savings to revenue generation, the platform addresses your most critical operational challenges:

Precision Allocation
Send the right products to the right stores at the right time—maximizing sell-through and protecting margins
Intelligent Replenishment
Balance inventory with demand using AI-driven stock optimization and automated reorder points
Demand Forecasting
Predict sales with accuracy by decomposing trend, seasonality, promotions, and external factors
Price & Markdown Optimization
Maximize total margin by determining optimal pricing, promotion timing, and markdown depth
CRM & Loyalty Intelligence
Transform customer data into strategic advantage with RFM segmentation and targeted campaigns
Assortment Planning
Move from intuition to analytics for optimal product mix and buying decisions
Store Operations
Forecast traffic, optimize labor scheduling, and automate task management
Loss Prevention
Detect theft patterns and fraud before they impact margins using predictive analytics
Size Curve Optimization
Match inventory to true demand patterns by store, reducing markdowns and lost sales
Purchasing Intelligence
Optimize buy quantities and vendor selection with predictive analytics on supplier performance and demand signals
Warehouse Automation
Streamline fulfillment with intelligent picking routes, optimized put-away, and automated transfer suggestions
Operational Efficiency
Eliminate manual processes and reduce costs through workflow automation and real-time exception management

Return on Investment

Representative Business Impact

Organizations implementing AI-driven decision systems typically experience material improvements across multiple dimensions:

  • Margin expansion from better allocation, pricing decisions, and markdown discipline
  • Working capital efficiency through inventory optimization and faster turns
  • Operational savings from automated workflows, reduced shrink, and exception management
  • Measurable ROI within the first year, scaling with adoption and maturity

Why This Architecture Wins

Built on Your Foundation

Unlike SaaS solutions that force you to adapt to their data model, Cybex works with your existing Retail BI warehouse. Your conformed dimensions (Style, SKU, Site, Calendar), fact tables (Sales, Inventory, Orders), and business logic remain intact. We add an AI feature layer on top—delivering curated features like SiteIX, SizeIX, weeks of supply, elasticities, and embeddings that plug directly into allocation, forecasting, and pricing models.

Enterprise-Grade, Future-Proof

With data contracts, quality checks, end-to-end lineage, and freshness SLAs, operations teams can depend on the platform daily. The architecture supports mixed latency requirements: sub-hour for store operations, daily for finance and merchandising, weekly for strategic planning. Deploy on Azure, AWS, GCP, or on-premise SQL Server—your choice, your control.

Ready to Transform Your Data Into Decisions?

Connect your warehouse, map your schemas, and activate AI features for your first use case—allocation, replenishment, forecasting, or pricing.

Executive AI Strategy Retail AI Blog Series

Pilot-ready approach | Proven methodology | No vendor lock-in