Cybex The Quarterly
Cybex Platform · Insights Engine

AI-powered analytics for every retail function

Raw data into actionable intelligence — allocation, merchandising, sales audit, CRM, assortment planning, and POS. One platform, unified semantics, production-ready analytics.

How Insights work

Cybex Insights is a three-stage pipeline: curated dataset creation from your conformed warehouse, AI-feature generation for the decisions you care about, and delivery into dashboards, alerts, or downstream models. No rip-and-replace of existing BI — insights sit on top of what you already run.

Stage 1

Curate datasets

Data contracts · SLAs

Conformed dimensions (Style, SKU, Site, Calendar) and fact tables with data quality checks, lineage, and freshness SLAs. Trusted data before anything else.

Stage 2

Generate features

SiteIX · SizeIX · WoS · Elasticities

AI feature layer on top of warehouse — curated signals like weeks of supply, size indexes, price elasticities, and product embeddings. Plug directly into decision models.

Stage 3

Deliver outcomes

Dashboards · Alerts · APIs

Insights surfaced where decisions happen — merchandising dashboards, operational alerts, and feature APIs for your allocation, pricing, and forecasting systems.

Insights by application module

Each Cybex application ships with purpose-built insights. Together they form a unified analytical layer across the retail operating model.

Allocation & Replenishment

Demand-weighted store allocation, service-level-aware reorder, exception-based exception queues. Move inventory to where it actually sells.

  • Store cluster performance
  • Size curve deviation
  • Transfer optimisation

Merchandising & Buying

Assortment gap analysis, white space identification, range architecture. Turn buying from intuition into a data-grounded discipline.

  • ABC product segmentation
  • Sell-through forecasting
  • Markdown timing

Sales Audit

Transaction anomaly detection, revenue assurance, and downstream data integrity. Clean data for every system that depends on it.

  • Discount & override abuse
  • Return pattern analysis
  • Payment reconciliation

CRM & Loyalty

RFM segmentation, lifetime value modeling, and campaign attribution. Understand customers at the behavioural level, not just the transactional.

  • Churn prediction
  • Next-best-offer
  • Cohort retention curves

Store Operations

Customer traffic forecasting, staffing optimisation, and store performance benchmarking. Align labour to demand, hour by hour.

  • Traffic by day-part
  • Labour hours modelling
  • Conversion analytics

POS & Omnichannel

Real-time basket intelligence, tender mix optimisation, and omnichannel attribution. The POS becomes a decision source, not just a receipt printer.

  • Basket affinity
  • Loyalty tender mix
  • Cross-channel attribution

Insights across retail AI topics

Beyond module-level analytics, Cybex generates cross-functional insights for the strategic questions leadership is actually asking.

Demand sensing

Multi-horizon forecasting that decomposes trend, seasonality, promotional lift, and new-product noise — feeding allocation, replenishment, and assortment planning.

Margin optimisation

Integrated view of pricing, markdown, product mix, and channel margins — with the diagnostic tooling to identify where margin is leaking and why.

Working capital efficiency

Turn velocity, cash cycle, and inventory productivity analytics — the trade-offs between service levels and capital deployed, made visible.

Advanced insight capabilities

The Cybex AI feature layer powers these advanced capabilities — delivered where and when the business needs them.

Predictive

  • Demand forecasting at SKU-site-week granularity
  • Price elasticity by category and customer segment
  • Style lifecycle curves with markdown timing
  • Traffic and conversion forecasts by day-part
  • Customer lifetime value and churn risk

Prescriptive

  • Optimal allocation quantities by store cluster
  • Recommended reorder timing and depth
  • Markdown cadence to maximise aggregate margin
  • Staffing schedules aligned to traffic forecasts
  • Next-best-offer recommendations per customer
Next Step

Turn your warehouse into a decision engine

Connect your existing Retail BI warehouse. Map your schemas. Activate AI features for your first use case — allocation, replenishment, forecasting, or pricing. Pilot to production in weeks.