Cybex AI

The future of retail ERP

Unified data architecture and predictive intelligence for enterprise retail.

  • DW(Data Warehousing)
  • BI(Business Intelligence)
  • AI(Artificial Intelligence)
Book a working session The five building blocks
20+ years in retail systems 6–8 week pilot Runs in your environment, no licence fees for custom development
Retail store, analytics team and distribution centre connected by a shared decision platform
Plan · Buy · Flow · Sell · Learn

Experience earned in roles and engagements across luxury apparel, footwear, specialty and multi-channel retail, including

  • ASICS CanadaFootwear and activewear
  • Tradehome ShoesSpecialty footwear
  • Stanley KorshakLuxury fashion
  • Paul StuartPremium apparel
  • BoydsPremium apparel
The Cybex Retail Stack

One stack, five blocks, wired into your operating routine.

Adopt one block first or connect the complete operating model. Every block reads the same product, location, customer, calendar and KPI definitions.

Datasets are the foundation. Everything above reads the same governed data.

Block 1 · Data Platform

One governed dataset per function

Datasets are the foundation. Connect POS, ERP, ecommerce, WMS, CRM and planning data without replacing your core applications.

  • Conformed retail warehouse on your SQL Server
  • Feature store of site, size and season indices
  • Documented views the other blocks read
Ten data models
Team reviewing retail data dashboards beside a distribution centre
Connected Retail Platform

One decision loop, not nine disconnected applications.

Merchants, allocators, stores and finance work from one governed retail truth. Each step hands its outcome to the next.

01Plan

Merchandise & Assortment

Shared targets move from financial plans to localized ranges.

02Buy

Purchasing & Open-to-Buy

Demand, OTB and lead time become executable vendor commitments.

03Flow

Allocation & Distribution

Every unit moves to the location where it can sell best.

04Sell

CRM & Store Operations

Customer, traffic, labour and inventory signals guide execution.

05Learn

Sales Audit, BI & AI

Exceptions and outcomes continuously improve the next decision.

Enterprise Retail Modules

Advanced functionality around the systems you already run.

Each solution can run as SaaS or within your own infrastructure and data-governance boundaries.

Six-Workflow Transformation

BI and AI retail transformation, from purchase order to general ledger

Assortment, merchandising and replenishment, WMS allocation, markdown, sales audit and accounting, BI and AI analytics: one page, six workflows, each with a two-minute tour.

See the six workflows
Fashion buyer reviewing samples in a sample room
01 · Merchandising foundation

Merchandise Planning

One retail truth for product, SKU, hierarchy, vendor, season, calendar, price and promotion.

Explore merchandising 02 · Merchandise purchasing

Purchasing & Open-to-Buy

Frame the buy, choose supply, commit the PO and manage inbound exceptions.

Explore purchasing 03 · Allocation & distribution

Allocation, Replenishment & Flow

Demand-weighted assignment, transfers, DC constraints and human-approved exceptions.

Explore allocation 04 · Localized assortment

Assortment Planning

Translate strategy into the right choice count, breadth and depth by store cluster.

Explore assortment 05 · Enterprise sales audit

Sales Audit & Revenue Integrity

Clean downstream data with governed exception workflows and complete auditability.

Explore sales audit 06 · CRM & clienteling

Customer Intelligence

Unify identity, consent, purchase history and engagement into measurable service.

Explore CRM 07 · Store operations

Store Operations Analytics

Make traffic, conversion, selling, labour and service measurable by role and location.

Explore store analytics 08 · Retail BI & data warehouse

Governed Retail Data

A reusable semantic layer, feature store and decision products built on one KPI language.

Explore the Data Platform 09 · AI Insights

Decision Automation

Detect, explain, recommend and simulate, then route approved actions back to work.

Explore AI Insights

Business improvement ranges depend on data quality, operating adoption, category dynamics and the agreed pilot baseline.

AI Insights + Decision Automation

Shorten the path from exception to approved action.

AI is grounded in governed retail data, business rules and decision rights. People remain responsible for high-impact approvals and policy exceptions.

01 · DETECT

What changed?

Identify meaningful exceptions and emerging risks.

02 · EXPLAIN

Why did it change?

Trace the drivers across product, site, customer and time.

03 · RECOMMEND

What should we do?

Propose actions within policy and operational constraints.

04 · SIMULATE

What is the impact?

Compare service, inventory, margin and workload outcomes.

05 · ACT

Approve or automate

Route approved action into the retailer's operating workflow.

Human guardrails

Decision rights at every stage: approval thresholds, audit trails, overrides and continuous learning.

Retail Experience

Built for specialty retail. Grounded in real operations.

Cybex combines enterprise retail applications, data engineering, implementation and operator-led advisory.

A Canadian specialty retail group runs stores, two distribution centres and head office on all five blocks. Ask to see it on the live database.

What is live
20+years building and operating retail systems
500locations supported: single banner to specialty chain
3deployment models: cloud, hybrid and on-premise
6 to 8weeks to a focused working pilot
Enterprise Adoption

Start with trusted data. Prove decisions. Automate selectively.

A modular rollout limits risk. Begin with a priority dataset and use case, publish a governed retail truth, then expand once measurable value and adoption are established.

Cloud-native

Managed warehouses, object storage, scalable compute and secure APIs across Azure, AWS or GCP.

Hybrid

Keep operational systems on-premise while using cloud services for analytics and AI feature generation.

On-premise

Deploy on SQL Server and existing infrastructure where control, latency or policy requires it.

Pilot Packages

Four pilots. Each ends in production.

Fixed fee per stage in project days and consulting days at one blended rate. The platform licence is perpetual and included. No per-user meter.

6 to 8 weeks

Data Platform Foundation

Sales, inventory, orders, receipts and movement conformed on your SQL Server; the feature store; two BI series; one executive insight.

Datasets · Templates · Insights 8 to 12 weeks

Distribution and Allocation

DC flow and labour productivity, store rebalancing engine with dialog parameters, the Distribution Centre series and guide, DC and allocation insights.

All five blocks 8 to 12 weeks

Sales Audit and Loss Prevention

Audit fact with exception flags, cash-out variances, GL journal, the Sales Audit series, weekly exceptions and margin insights.

All five blocks 8 to 12 weeks

Merchandise Plan and Assortment

Plan cube with OTB from open orders, size matrix with drill, white-space and size-curve insights.

All five blocks
Insights · The Cybex Quarterly

The thinking behind modern retail AI.

Twenty-four practical essays covering retail AI strategy, allocation, merchandising, sales audit, customer intelligence, operations, pricing, margin and data-platform deployment.

Read the Quarterly
Next Step

Bring one decision.
Leave with a scoped pilot.

One hour, one retail decision you want to make better, your own data if you can bring it. Or email lazar@cybexai.ca.

Book a working session See what is live Download the overview (PDF)