Advanced Retail AI + Business Intelligence
A connected decision layer for merchandising, purchasing, allocation, stores, customers and finance — built on your existing POS, ERP, ecommerce, WMS and BI data.
One decision loop — not nine disconnected applications.
Every module shares the same product, location, customer, calendar and KPI definitions. Merchants, allocators, stores and finance work from one governed retail truth.
Merchandise & Assortment
Shared targets move from financial plans to localized ranges.
Purchasing & Open-to-Buy
Demand, OTB and lead time become executable vendor commitments.
Allocation & Distribution
Every unit moves to the location where it can sell best.
CRM & Store Operations
Customer, traffic, labour and inventory signals guide execution.
Sales Audit, BI & AI
Exceptions and outcomes continuously improve the next decision.
Advanced functionality around the systems you already run.
Adopt one module first or connect the complete operating model. Each solution can run as SaaS or within your own infrastructure and data-governance boundaries.
Merchandise Planning
One retail truth for product, SKU, hierarchy, vendor, season, calendar, price and promotion.
Explore merchandising → 02 · MERCHANDISE PURCHASINGPurchasing & Open-to-Buy
Frame the buy, choose supply, commit the PO and manage inbound exceptions.
Explore purchasing → 03 · ALLOCATION & DISTRIBUTIONAllocation, Replenishment & Flow
Demand-weighted assignment, transfers, DC constraints and human-approved exceptions.
Explore allocation → 04 · LOCALIZED ASSORTMENTAssortment Planning
Translate strategy into the right choice count, breadth and depth by store cluster.
Explore assortment → 05 · ENTERPRISE SALES AUDITSales Audit & Revenue Integrity
Clean downstream data with governed exception workflows and complete auditability.
Explore sales audit → 06 · CRM & CLIENTELINGCustomer Intelligence
Unify identity, consent, purchase history and engagement into measurable service.
Explore CRM → 07 · STORE OPERATIONSStore Operations Analytics
Make traffic, conversion, selling, labour and service measurable by role and location.
Explore store analytics → 08 · RETAIL BI & DATA WAREHOUSEGoverned Retail Data
A reusable semantic layer, feature store and decision products built on one KPI language.
Explore the Data Hub → 09 · AI INSIGHTSDecision 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.
Governed retail data becomes reusable intelligence.
Connect POS, ERP, ecommerce, WMS, CRM, loyalty and planning data to conformed retail dimensions and facts. Add a semantic KPI layer and AI-ready features without replacing your core applications.
Retail Applications
POS · ERP · Ecommerce · WMS · CRM · Loyalty · Planning
Conformed Retail Truth
Sales · Inventory · Product · Site · Customer · Vendor · Calendar
Reusable Intelligence
KPIs · Forecasts · Features · Exceptions · Guardrails
Approved Actions
Buy · Allocate · Transfer · Price · Serve · Investigate
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.
What changed?
Identify meaningful exceptions and emerging risks.
Why did it change?
Trace the drivers across product, site, customer and time.
What should we do?
Propose actions within policy and operational constraints.
What is the impact?
Compare service, inventory, margin and workload outcomes.
Approve or automate
Route approved action into the retailer's operating workflow.
Decision rights
Approval thresholds, audit trails, overrides and continuous learning.
Built for specialty retail. Grounded in real operations.
Cybex combines enterprise retail applications, data engineering, implementation and operator-led advisory — experience earned in roles and engagements across luxury apparel, footwear, specialty and multi-channel retail, including:
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.
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 QuarterlySee what this looks like on your data.
We will identify the first high-value use case, map the required data, define measurable outcomes and outline a focused 6–8 week pilot.
Or contact lazar@cybexai.ca.