Cybex The Quarterly
Volume 1 · Spring 2026 · 24 Essays

Retail AI & Analytics, examined in depth.

A working journal from practitioners who build the systems retailers run on — on strategy, operations, merchandising, pricing, and the data infrastructure beneath them.

Issue 03 Operations

Sales Audit & Exception ML

Machine learning replaces rule-based sales audit: which transactions actually warrant review, and why.

Issue 05 Operations

Predictive Store Operations

Traffic forecasting, task prioritisation, and staffing models that hold service levels while lowering labour cost.

Issue 06 Merchandising

The Assortment Plan

Building an assortment architecture that balances depth, breadth, and seasonality against working capital discipline.

Issue 07 Forecasting

Forecasting Demand

Multi-horizon forecasts that respect seasonality, promotional lift, and the noise of new-product launches.

Issue 08 Analytics

Retail Analytics: the operating layer

What belongs in a unified analytics environment — and what most retailers still keep stranded in spreadsheets.

Issue 09 Data Science

Data Science & AI in Retail

A practical taxonomy of techniques — which problems earn classical ML, which earn deep learning, and which earn neither.

Issue 10 Replenishment

Automated Replenishment

Service-level-aware reorder logic that accounts for lead times, lot sizing, and supplier reliability.

Issue 11 Operations

Customer Traffic Forecasting

Weighted historical averages with seasonal correction, and how to translate the forecast into a staffing schedule.

Issue 13 Merchandising

Style Lifecycle Management

Predictive management of fashion styles from launch to clearance — forecasting, ordering, markdown timing.

Issue 14 Segmentation

Product ABC Segmentation

Applying the Pareto principle to assortment — where to concentrate inventory capital and attention.

Issue 15 Customer

RFM Customer Segmentation

Recency, Frequency, Monetary — still the most useful framework for focusing marketing spend.

Issue 16 Pricing

Price Optimisation

Elasticity, margin, and timing — the three levers of pricing, and how to calibrate them against one another.

Issue 17 Merchandising

Size Curve Optimisation

Store-by-store size profiles that cut markdowns and lost sales without inflating inventory.

Issue 18 Pricing

Markdown Optimisation

Timing, depth, and cadence of markdowns to maximise aggregate margin, not just sell-through.

Issue 19 Margin

Gross Margin Optimisation

A systematic view of margin drivers — product mix, pricing, COGS, channel — and the diagnostics that matter.

Issue 20 Inventory

Inventory Turnover & Working Capital

Accelerating cash flow and improving capital productivity — turn velocity, cash cycle, and the trade-offs between service levels and capital efficiency.

Issue 21 Integration

E-Commerce Data Integration

Shopify and Magento connectors to the Cybex AI Platform — unified analytics, real-time insights, and AI-powered intelligence across online and physical retail.

Issue 22 Strategy

The AI Advantage

Why forward-thinking retailers are moving beyond SaaS — a strategic analysis for CIOs, CFOs, and retail executives evaluating the economics of AI platforms.

Issue 23 Loss Prevention

Loss Prevention & Shrink Analytics

AI-driven protection of retail margin — predictive detection of theft patterns, fraud, and operational leakage at margin's weakest point.

Issue 24 Deployment

Cybex AI Data Hub Deployment

Simple, flexible infrastructure options — on-premise, cloud, or hybrid deployment with SQL Server 2025 and AI services.

About the Editor

Lazar Belos

BA (Hons) · BSc · CPA · MCP · MCSE

President, Cybex — Retail AI & Analytics Consulting

A retail AI practitioner with dual training in financial strategy (CPA; Deloitte, PricewaterhouseCoopers) and systems engineering (MCSE, IBM). Lazar leads Cybex's platform development and advises retailers on the operating changes that make AI investment pay back — moving organisations from cost-savings projects to revenue-generating capabilities.