Decision intelligence for retail, eCommerce, CPG, telco, hospitality & manufacturing

Turn data into decisions that move the business.

Graphite Note turns first-party business data into decisions. Predict what happens next, identify what is actually driving the outcome, compare the feasible actions, and deliver the recommended move into the workflow.

See decisions and expected impact in weeks, not quarters.
CPG · Decision object High confidence
How do we prevent next month’s revenue decline?
Revenue outcome+2.1%
Distribution loss37%
Price increase24%
Seasonality19%
Selected leverRestore distribution in North region214 priority stores · next 30 days
Expected impact+€1.8M

Click a tab, a visible card, or use the arrows. Auto-rotation pauses while you interact.

Selected customers and partners

True CorporationRTLFexcoISITAValamarControl Group

What Graphite Note does

Models are useful when they change a decision.

Graphite Note combines predictive models, causal evidence and optimisation around a specific business decision: what is likely to happen, what can change it, and which feasible action should happen next.

Beyond reporting

Dashboards describe the business. Graphite Note helps you change it.

Decision impact · Illustrative
Today90 daysIntervention
Selected leverRestore distribution
Expected impact+€1.8M
01 / REPORT

What happened?

BI tracks performance and shows where the number moved.

02 / PREDICT

What happens next?

Forecasting models show where demand, risk, and value are heading.

03 / DECIDE

What should we change?

Test the available moves, choose the strongest one, and estimate its impact.

The decision chain

Every analysis ends with an action.

One continuous path from a business signal to a governed recommendation your team can execute. Example values below are illustrative.

01 / DETECT

Detect the change

Combine first-party business data and surface the outcome that needs attention.

−8.4%
02 / PREDICT

See what comes next

Forecast the likely outcome early enough to act.

30 days
03 / EXPLAIN

Identify what can change it

Use causal evidence where appropriate to separate actionable drivers from misleading correlations.

3 drivers
04 / DECIDE

Choose the feasible move

Compare interventions under real constraints and rank them by expected business impact.

214 stores
05 / ACTIVATE

Move the outcome

Deliver the decision into the workflow and measure what changed.

+€1.8M

Decision intelligence in practice

Less “interesting insight.” More measurable consequence.

See how businesses turned analysis into a specific next move.

Illustrative machine-learning lead scoring tier output
TelecommunicationsThailand

Transforming Customer Targeting, 3x Conversion Rate Improvement

How True Corporation moved from gut-feel segmentation to ML-driven targeting — and tripled conversion rates in weeks.

3×conversion rate improvement
Forecast risk profile across a 320-store retail estate
Specialty retailWestern Europe

320 Stores. One Number Each. Finally One They Could Trust.

How a European Specialty Retailer Replaced Estate-Wide Spreadsheet Guesswork with Store-Level Revenue Forecasts, Confidence Bands, and a Planning Cadence That Actually Held.

9.8%chain MAPE, down from 24.3%
Manufacturing scrap rate by tool age from causal analysis
ManufacturingEurope

4% Scrap. The Dashboards Said Everything. They Explained Nothing.

How a European Manufacturer Stopped Guessing at Root Causes and Used Graphite Note Desicion Lever framework to Cut Scrap by 1.9 Percentage Points in Six Months.

4.1% → 2.2%scrap rate in six months
Forecast accuracy drift from untracked planner overrides over time
Automotive distributionCentral America

From 39% Forecast Error to Decision-Ready Demand Intelligence

How a mid-market automotive parts distributor replaced ERP-default forecasting with a 50,000-SKU decision intelligence system

39% → 8%forecast error (MAPE)
Guest behavioural segment and property preference audience heatmap
Hospitality & tourismEurope

Guest Intelligence at Scale: Four-Dimension Audience Segmentation for a Major Resort Group

How Decision Intelligence gave a multi-property resort operator its first complete view of 3.8 million guests — without touching the CRM query interface.

3.8M+guest accounts segmented
Customer probability-alive decay curves by churn-risk segment
Omnichannel retailUnited States

From Gut Feel to CLV Score: How One Retailer Stopped Guessing Which Customers Were Worth Keeping

How a US Omnichannel Home Goods Retailer Used CLV Modelling to Identify At-Risk Customers Before They Churned, Score Every Buyer by Future Value, and Shift $4.1M in Marketing Spend to Where It Would Actually Return.

$4.1Mmarketing budget reallocated

View all case studies

Enterprise delivery

We deliver the decision system, not software with a manual.

Graphite Note connects the data, builds the predictive and causal models, tests the evidence, and packages the recommended action for your team.

01 Connect your data
02 Model the outcome
03 Validate the causes
04 Activate the decision

Security and governance

Serious decisions need serious controls.

Graphite Note operates certified information security and AI management systems.

ISO 27001:2022 certifiedISO 42001:2023 certified

Explore the decision stack

Clear pages for the capability you are actually looking for.

From AutoML and forecasting to causal inference, optimisation and embedded decision delivery.

GN Decision Packs

Six industry Decision Packs. Built around real business actions.

One Graphite Note Decision Intelligence engine underneath. Predictive models estimate what will happen, causal models identify what can change it, and optimisation helps select the best feasible action.

Bring us the decision your team cannot resolve.

We will show you what the data can prove, what it cannot, and where to act next.