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

Turn data into decisions that move the business.

Graphite Note is a decision intelligence platform combining predictive analytics, AutoML, causal machine learning and optimisation. Predict what happens, understand why, and choose the action most likely to improve the outcome.

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

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Selected customers and partners

True CorporationRTLFexcoISITAValamarControl Group

What Graphite Note does

Models are useful when they change a decision.

Graphite Note helps retail, CPG, manufacturing, telecommunications and hospitality teams turn business data into decision-ready predictions, causal evidence and recommended actions.

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 / SIGNAL

Detect the change

Combine 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 / CAUSE

Isolate what matters

Separate real drivers from coincidental or misleading signals.

3 drivers
04 / DECIDE

Compare interventions

Test feasible actions 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

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.