Cybex Retail AI1 / 13
Version 9.0 now available

BI Analytics Series

Cybex Retail Business Intelligence

Decision intelligence for specialty retail.

The analytics the largest retailers run on, from demand forecasting to AI-written insight, built on one retail data foundation and sized for retailers with 20 to 300 stores.

Book a working sessionFrom hindsight to foresight

The shift

From hindsight to foresight.

Most mid-market retailers stop at reporting what happened. Cybex Retail Business Intelligence carries every team up the full analytics maturity curve, on the same data.

What happened?

Descriptive

Sales, margin, traffic and stock by any hierarchy and period.

BI Query · template reporting
Why did it happen?

Diagnostic

Drill from chain to store, class, style, colour and size in seconds.

BI Matrix · pivot and drill-through
What will happen?

Predictive

Style forecasts by week, store and size, shaped by seasonality.

Forecasting · seasonality science
What should we do?

Prescriptive

Suggested buys, allocations, rebalancing moves and AI briefings that say what to act on.

PIM · Allocation · AI Insights

One suite, one foundation

Every application stands on one BI data platform.

The major Cybex BI applications share the same data, the same retail science and the same security, so a number means the same thing wherever it appears.

Applications

AI Insights

Written executive briefings

BI Query

Template reporting and KPIs

BI Matrix

Pivot analysis and charts

Explorer

Free-form data discovery

BI Product

Forecast, PIM, allocation

Cybex Retail Data PlatformOne retail data model, governed facts and science shared by every application
Retail data model
Governed fact tables
Retail science
AI insight engine
Security & data health
Sources
Point of sale
E-commerce
Inventory & DC
Store traffic
Finance

One retail data foundation

Every channel, every store, one version of the truth.

Point of sale, e-commerce, inventory, traffic and finance land in one retail-modelled warehouse. Every report, forecast and insight reads from the same facts.

Sources

Point of saletickets, tenders, staff
E-commerceweb orders, returns
Inventory & DCreceipts, transfers, on order
Store trafficfootfall counters
Financegeneral ledger, payments
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Cybex Retail Data Platform

Unified retail model: product to size, location to region, fiscal calendar, plan and actual side by side
Governed fact tables: sales, tickets, stock ledger, purchase orders, plan, audit
Retail science layer: forecasting, seasonality, size curves, store indices, open to buy
AI insight layer: curated datasets turned into written briefings
➜

Cybex Retail Business Intelligence

Command centerKPIs, insights, data health
Reporting & analysisBI Query, BI Matrix, Explorer
Merchandisingforecast, PIM, style card
Inventoryallocation, purchasing, rebalancing
Finance & auditsales audit, GL journal

Retail science layer

One science layer behind every decision.

The same forecasting and profile science feeds buying, allocation and planning, so every team works from one consistent view of demand.

Demand forecasting

A deseasonalised base rate per style from weeks actually in stock, projected forward by season.

Seasonality science

Indices by class and season that shape weekly demand across the year ahead.

Size-curve profiles

Size curves by class, blank and colour, so buys follow how sizes really sell.

Store profiles

Store indices that turn a chain forecast into the right quantity for every location.

Inventory placement

Store need from forecast and cover targets, with chain-wide rebalancing that conserves stock.

Open to buy

Plan, actual and on order by class and month, so buying stays inside the plan.

Role-based intelligence

The right answer for every seat at the table.

Pre-built workspaces for each role, with the KPIs, reports and drill paths that role uses every day.

EXExecutive

"Are we winning this week?"
Sales vs plan and last year, margin, conversion, open to buy, with AI briefings

MPMerchant & planner

"What do I buy, and how much?"
Style rank, vendor performance, sell-through, size curves, suggested purchase orders

ALAllocation & inventory

"Where should the stock be?"
Weeks of supply, store need, rebalancing, warehouse stock and direct-to-store buys

SOStore operations

"Are stores converting traffic?"
Footfall, conversion, staffing, ticket mix by store and hour

FIFinance & audit

"Does every dollar reconcile?"
Sales audit, tender and deposit matching, exceptions, general ledger journal

LPLoss prevention

"Where is shrink coming from?"
Exception rules on tickets and tenders, flagged by store and associate

Inventory productivity

Measure what moves margin.

The KPIs tier-1 retailers manage by, calculated the same way everywhere, from chain down to style, colour and size.

  • Sell-through and stock-to-sales by class, vendor and season
  • Weeks of supply against plan, with low-cover alerts
  • Open to buy from plan, actuals and live purchase orders
  • Traffic, conversion and average ticket by store and hour
Sell-through, season
62.4%
+3.1 pt vs LY
MayJunJulAugSepOct
Weeks of supply
11.6
Plan 10.0
MayJunJulAugSepOct
Stock to sales
3.8
-0.4 vs LY
MayJunJulAugSepOct
Conversion
21.3%
-1.2 pt vs LY
MayJunJulAugSepOct
Open to buy, Nov
$214K
of $1.1M plan
NovDecJanFebMarApr
Margin, WTD
58.4%
+1.1 pt vs LY
W31W32W33W34W35W36

Illustrative data.

AI insights

Insight that writes itself, and says what to do.

Generative AI reads curated datasets from the platform and produces short executive briefings: what changed, why, and the action worth taking. Ready with the morning numbers.

  • Grounded in governed datasets, not raw tables
  • Flash sales, traffic and conversion, size curves, cross-sell
  • New briefings are configuration: a dataset and a prompt
Monday flash briefingAI generated
+8.4%vs last year
104%of plan
-1.2 ptconversion
Outerwear drove most of the gain; three top styles are now under four weeks of supply.
Mall stores lost conversion on Saturday afternoon while traffic rose 9%, with staffing below plan.
Suggested action: replenish the three outerwear styles before next weekend.
Illustrative briefing.

New in version 9.0

One command center for the whole BI suite.

Every BI application at the top of one sidebar, live KPIs, AI briefings and data health on the home page, behind a single sign-on.

||| Cybex Retail Business Intelligence 9.0─ □ ✕
CxBISearch reports, shortcuts, seriesLIVEMR
Home
AI insights
BI query
BI matrix
Explorer
BI product
WORKSPACES
Vendor forecast
Open to buy
Size curve
Allocation
Good morning, Maria
Sales WTD
$1.42M
+8.4% vs LY
Sales vs plan
104%
+$55K
Conversion
21.3%
-1.2 pt
Weeks of supply
11.6
Plan 10.0
Open to buy
$214K
November

Top stores this week

StoreSalesvs LYvs plan
Store 014 · Harbourfront$188K+11.2%109%
Store 007 · Lakeshore$162K+6.9%104%
Store 021 · Old Town$131K-2.1%97%

Today's AI insights

  • Flash sales vs last year
  • Traffic, conversion, staffing
  • Size curve by colour
Data health✓ Sales through Oct 6✓ Plan through Jan 30

Screen shown with illustrative data.

Enterprise architecture, mid-market footprint

Deploy where your data already lives.

Deployment

On premises or Azure

SQL Server in your data centre or Microsoft Azure. Your data stays in your environment.

Configurable

Reports as data

Reports, layouts, KPIs and drill paths are versioned templates. New analysis ships as configuration, not a software release.

Security

One identity, one role model

A single sign-on carries each user into every application under the same role permissions.

Integration

Connected commerce

E-commerce, payments, loyalty and Microsoft Dynamics 365 Business Central on the same platform.

Data health

Trust built in

Every load is checked, and every screen says how current its numbers are.

Ownership

Built with you, owned by you

Co-developed to fit how your business works, with no per-seat cloud fees for the BI suite.

Why Cybex

Tier-1 capability. Tier-2 economics.

The capabilities the largest retail suites lead with, without the licence model and implementation scale built for the largest chains.

Cybex Retail Business IntelligenceTypical tier-1 retail suite
Analytics scopeReporting, forecasting, size curves, OTB, allocation, audit and AI on one modelComparable, often across separately licensed modules
Commercial modelCo-developed; you own what is builtSubscription licence
DeploymentYour SQL Server, on premises or AzureUsually the vendor's cloud
Time to valuePilot on your existing data warehouseMulti-phase implementation
FitShaped to your processesProcesses adapted to the suite
TeamSenior team, 20+ years in retail systemsRotating project staff

How we start

A working pilot, not a multi-year program.

Working session

Bring the questions your team can't answer today. We map them to your data.

Pilot on your data

Connect your existing data warehouse and stand up the command center and first workspaces.

Expand by role

Add forecasting, open to buy, allocation and AI briefings team by team.

Co-develop

Build what is unique to your business, on a platform you own.

Cybex Retail Business Intelligence 9.0

See your business from hindsight to foresight.

Bring one question your team struggles to answer. We'll answer it on your own data in a working session.

Book a working session