Cybex Enterprise Retail System is an AI-native, SQL-first platform delivering enterprise-grade analytics, AI forecasting, merchandising, allocation, replenishment, CRM, loyalty, and POS—on infrastructure you own and control. No SaaS lock-in. No cloud tax. No platform roadmap dependency.
Cybex delivers enterprise retail depth, AI-native architecture, and full data sovereignty—without the SaaS overhead, cloud dependency, or vendor lock-in that constrains competitive agility.
Analytics, AI forecasting, merchandising, assortment planning, allocation, replenishment, CRM, loyalty, markdown optimization, enterprise integrations, and POS—purpose-built for multi-site retail operations.
AI is embedded at the architectural core, not bolted on as a feature. Machine learning models and LLM integrations operate directly against your secure, owned database environment.
Native connectivity to SQL Server 2025, PostgreSQL, and NoSQL. No middleware layers, no data proxies, no abstraction tax. Your data lives where you decide, secured on your terms.
Customer-owned databases and development tooling mean zero dependency on third-party platform roadmaps. Deploy your chosen AI models and automation frameworks on your timeline.
Eliminate per-seat SaaS fees, cloud egress costs, and integration middleware. The Cybex model delivers enterprise capability at a fraction of the cost of comparable cloud-hosted platforms.
Claude, Copilot, and Cursor-assisted development accelerates SQL, C#, and retail logic engineering. New features, integrations, and analytics delivered in days—not quarters.
A high-performance modular architecture designed around direct database connectivity, native development tooling, and zero unnecessary middleware complexity.
Direct native connectivity. Stored procedures, CTEs, indexed views, full-text search, JSON and vector support, and columnar analytics—no ORM abstraction penalty.
SQL Server Management Studio, Azure Data Studio, Visual Studio, and MAUI/WinForms—professional-grade tools with full platform control, not vendor-restricted web editors.
Plug in any AI model—OpenAI, Anthropic Claude, Azure AI, or open-source—directly against production data. No third-party connectors or data-sharing agreements required.
Deploy on Azure, AWS, GCP, hybrid cloud, or fully on-premise. Infrastructure decisions are yours. Migrate, scale, or repatriate on your terms—no forced cloud dependency.
From AI-powered analytics and forecasting to enterprise merchandising, allocation, and POS, Cybex delivers integrated retail intelligence across every operational and merchandising function.
KPI dashboards, flash reports, ABC classification, traffic analytics, store scorecards, and ad-hoc SQL reporting for retail leadership.
4W / 13W / 26W / 52W forecast horizons with seasonality indexing, 4-5-4 calendar support, and ML-powered trend and promotional uplift models.
AI-driven markdown calendars, price elasticity modeling, promotional ROI analytics, and clearance liquidation planning to protect margin and maximize sell-through.
AI-assisted assortment optimization, white space analysis, size curve modeling, and attribute-level planning by channel, location, and customer segment.
Priority-weighted allocation with weeks-of-supply urgency scoring, site performance index, and size performance optimization across distribution networks.
Real-time inventory position, GMROI analytics, OTB management, coverage analysis, stock-to-sales ratios, and inventory health dashboards by category.
Unified customer profiles, purchase history analytics, loyalty tier management, targeted campaign segmentation, and lifetime value modeling.
Purchase order management, vendor performance, BOM availability analysis, production planning, and FIFO lot tracking for vertically integrated retailers.
Pre-built connectors for ERP, eCommerce, 3PL, payment processors, and EDI—plus open APIs for custom integrations without platform constraints.
Sales audit trails, cash reconciliation, POS audit exceptions, audit-grade reporting, and CPA-level financial controls integrated into retail operations.
Mobile enablement, inventory count, receiving, transfers, task management, and real-time communication tools for store teams and district managers.
High-performance POS with offline capability, mobile enablement, multi-tender, promotions engine, and real-time inventory sync across all locations.
Cybex's AI strategy is built on a core principle: your data, your models, your competitive advantage. AI capabilities operate directly on your owned infrastructure—not a shared cloud platform.
Multi-horizon ML forecasting with seasonality indices, promotional uplift, and trend decomposition—trained on your transaction history, not generic retail benchmarks.
AI-driven white space analysis, size curve optimization, and allocation scoring that continuously learns from store performance and sell-through data.
Margin-protecting markdown cadence recommendations, price elasticity modeling, and clearance optimization driven by real-time inventory position and demand signals.
LLM-powered customer segmentation, purchase behavior modeling, and personalized engagement strategies built on your owned CRM and transaction data.
Unlike SaaS platforms with locked AI roadmaps, Cybex supports any model, any provider—today and as the AI landscape evolves. Your competitive AI advantage is never dependent on a vendor's feature release schedule.
A direct comparison across the criteria that matter most to enterprise retail leadership teams and CFOs evaluating platform economics.
When retailers own their data, databases, and development tools, they own their competitive future—not their platform vendor's.
Your transaction history, customer profiles, and retail intelligence belong to you—stored in your infrastructure, governed by your policies, accessible on your terms.
No data held hostage by vendor contracts. No export fees. No platform switching penalties. Migrate, replicate, or integrate freely at any time.
Eliminate SaaS per-seat fees, cloud egress charges, middleware licensing, and forced upgrade cycles. Enterprise capability at a fraction of the incumbent cost.
Deploy any AI model, analytics framework, or automation tool against your data—today and as the AI landscape evolves. Never constrained by a vendor's AI roadmap.
New integrations built directly in SQL, C#, and open APIs—without middleware sandboxes, ISV approval cycles, or platform constraints.
Data residency, access controls, encryption policies, and compliance frameworks governed entirely by your team—not a shared multi-tenant environment.
Cybex supports all deployment architectures—giving enterprise retail leadership full control over infrastructure, cost, and data residency strategy.
Deploy on Azure, AWS, or GCP with managed SQL Server or PostgreSQL. Retain full data ownership and control while leveraging cloud infrastructure scalability and managed services.
Combine on-premise SQL Server for sensitive data with cloud-based analytics, AI services, and mobile endpoints—maximum control with cloud-scale capability where needed.
Full on-premise deployment on customer-owned servers. Maximum data control, security, and compliance governance for retailers with strict data residency requirements.
Cybex is developed on an enterprise-grade, AI-accelerated stack combining SQL Server mastery, C# engineering, and modern retail data architecture.
Claude and Copilot accelerate retail domain analysis, data model design, and system architecture documentation from days to hours.
Complex stored procedures, CTEs, seasonality models, and forecast engines generated and validated with AI assistance—compressing development cycles significantly.
WinForms, MAUI, and API development with AI pair programming—faster feature delivery, fewer defects, accelerated integration work.
Executive HTML reports, KPI dashboards, and retail intelligence deliverables produced at a fraction of traditional development time.
ML models retrained on live data, AI-identified performance opportunities, and automated alerts—retail intelligence that improves continuously.
Delivered by an executive team with dual credentials in financial strategy and advanced IT systems—with a track record across Big Four accounting and IBM technology leadership.
Highly accomplished executive with dual expertise in financial strategy and advanced IT systems. Proven success leading business transformations, optimizing financial operations, and aligning technology initiatives with business growth. A strategic and results-driven leader skilled in driving profitability and guiding high-performing, cross-functional teams across North American retail clients.
Delivered by an executive team with dual credentials in financial strategy and advanced IT systems - with a track record across Big Four accounting and IBM technology leadership.
End-to-end retail data platform design, data warehouse modeling, AI feature store architecture, and cloud infrastructure planning tailored to your technology stack.
Full-stack development using .NET 10, SQL Server 2025, Python ML pipelines, and AI-assisted coding with Claude Code, GitHub Copilot, and GPT-5 for accelerated delivery.
Deep specialty retail expertise across merchandising, allocation, sales audit, CRM, and assortment planning - translating business requirements into AI-driven solutions.
Phased deployment methodology with knowledge transfer, team training, and ongoing support - ensuring your internal teams can own and extend the platform independently.
Big Four-caliber financial analysis including TCO modeling, ROI projections, and business case development for executive and board-level approval of AI platform investments.
Enterprise-grade security architecture, data governance frameworks, compliance alignment, and access control design - keeping your retail data sovereign and protected.
Cybex gives retail leaders the platform depth, AI freedom, and data sovereignty to compete on their own terms—not on a SaaS vendor's roadmap.