Decision Intelligence for Retail, CPG, and Manufacturing
Turn data into decisions that actually move the business.
We predict outcomes, prove what changed because of your actions, and prescribe exactly what to do next. No jargon. No dashboards pretending to be strategy.
Time to value: see decisions and impact in weeks, not quarters.
Cost: often less than one senior data scientist.
“... a must have for business looking to leverage AI...”
Hitesh Motwani, AI trainer and expert, Skillopedia
Decision Questions That Actually Matter
A few real examples of the decisions teams struggle with every day.
Promotions
A promotion spikes revenue.
The real question is not “How big was the spike?”
It is: Did the promotion create new sales, or just pull demand forward at a discount?
Why it matters:
Selling earlier for less looks like growth. Often, it isn’t.
Demand Forecasting
The forecast says demand will drop next month.
The real question is not “How accurate is the forecast?”
It is: What caused the drop, and which action could actually prevent it?
Why it matters:
Accurate forecasts without action plans still lead to lost revenue.
Customer Segmentation
A loyalty campaign shows high redemption.
The real question is not “Did customers use the offer?”
It is: Did the offer change behavior, or reward customers who would buy anyway?
Why it matters:
Discounting loyal customers feels good. It often wastes budget.
Scrap Reduction
Scrap rate goes down after a process change.
The real question is not “How much did scrap drop?”
It is: Did the change actually improve the process, or did teams just reclassify defects or slow production?
Why it matters:
Reported scrap improvements often mask hidden cost elsewhere.
Inventory Availability
Stockouts decrease this quarter.
The real question is not “Did availability improve?”
It is: Was it better planning, or did teams simply overstock to be safe?
Why it matters:
Availability gains that inflate inventory quietly destroy margin.
Dashboards only show what happened.
Useful for reporting and tracking performance over time.
They do not tell you what will change if you act differently tomorrow.
Predictions show what might happen.
A solid step beyond reporting.
They still do not explain which action caused the outcome, or which move is worth making.
Decision Impact shows what will change.
Test “what if” moves before you commit.
Estimate real uplift and turn insight into clear next steps.
We combine predictive models with Decision Impact modeling and an execution layer — so analysis always ends in action, not a report.
What is Decision Intelligence?
See how Graphite Note turns raw data into clear, prescriptive actions and strategies
Our Decision Intelligence Stack
Predict
We forecast what will happen across your business — demand, churn risk, customer value, price sensitivity, and inventory needs — built on your data and calibrated for real planning decisions.
Understand Cause
We identify why results move, not just that they moved. We pinpoint the true drivers behind demand, churn, or margin, and model “what-if” scenarios so you know which levers actually change outcomes.
Decide What to Do Next
We turn insight into a clear action plan. Prioritized recommendations with expected impact, timing, and focus — packaged as decision-ready playbooks your teams can execute immediately.
Stop guessing. Start with Decision Impact Models.
Dashboards tell you what already happened.
Predictive models show what might happen next.
A Decision Impact Model shows what will change when you take an action.
It answers real business questions, like:
• What happens if we change price by 10 percent
• Which customers will actually respond to an offer, not just buy anyway
• Which action gives the highest lift in revenue, margin, or retention under real-world constraints
This is the difference between reporting, predicting, and shaping the outcome.
What You Can Do Today
These are just some of the ways Graphite Note drives impact across your business:
Use Case | Predict | Understand | Prescribe |
|---|---|---|---|
Market Share Analysis | Category share trends | Competitor impact scenarios | Identify top 3 segments to out-execute competitors |
Manufacturing Defect Detection | Real-time anomaly scores | Root-cause analysis by machine & shift | Trigger line halt & schedule maintenance |
Promotion Optimization | Promo response forecasts | Uplift by segment | Send 10% off to Persuadables only |
Demand Forecasting | Weekly SKU forecasts | Impact of price/promo on volume | Reorder by +17% for SKU 324 before 3 Aug |
Churn Prevention | Customer risk scores | Which customers are persuadable | Target Beta segment with 10% loyalty credit |
CLTV Boost | Projected lifetime value | Which offers increase LTV | Bundle Product A + B to raise AOV by €8 |
RFM / Segmentation | RFM segment discovery | Causal drivers by segment | Shift budget Gamma → Alpha to raise AOV by $8.7 |
Basket Analysis | Item affinity patterns | Lift from bundle promotions | Add “Often Bought With” widget for X + Y |
From data to decision—fast
1. Connect
We connect to your existing data — CSVs, databases, or API feeds. No engineering overhead on your side.
2. Model
Our proprietary ML engine selects and tunes the best predictive and causal algorithms for your specific business question.
3. Explain
We translate model outputs into plain language driver analysis and “what-if” scenarios — so you understand the why, not just the what.
4. Prescribe
You receive a clear, prioritized action plan — with expected impact, timing, audience, and budget guidance. Decision-ready, not data-ready.
5. Activate
We push recommendations directly into your existing tools — CRM, ops, marketing. You act. We track uplift and iterate.
We deliver the whole thing. Not software with a manual.
We handle everything — data connection, model building, insight generation, and activation into your workflows. You get decisions and outcomes, not a platform to figure out on your own.
Every engagement includes our full delivery team by default.
Our Decision Intelligence in Practice
Telco / Thailand
Transforming Customer Targeting
Conversion rate increased from 1.9% to 5.2%. Operational time reduced by 77%. The team went from gut-feel segmentation to ML-driven targeting in weeks
CPG / Latin America
Understanding Market Drivers
Over 90% of sales variation identified and explained. Analysis time cut by 70%. For the first time, the commercial team could see exactly which levers actually moved volume.
Manufacturing / Europe
Global Reducing Scrap Through Causal Modeling
Average scrap rate reduced by up to 10%. Early warning detection hours before defects appear. Engineers stopped reacting to quality problems and started preventing them.
ENTERPRISE
Decision Intelligence Suite
From $50,000/year
✔️ Full predictive + causal modeling
• Prescriptive playbooks & activation
• Highest‑performance infrastructure & dedicated compute
• custom numbers of Models, Users, Data Rows
• Onboarding & managed services
• Dedicated account & success team, full support
• ISO 27001 and ISO 42001
Flexible rollout packages available—we tailor everything to your data, workflows, and objectives.
LEARNING AND EXPLORATION
SANDBOX
Explore ideas before committing to production.
❌ No causal models, uplift analysis, or prescriptive activation tools
• No‑code predictive templates only
• Limited dataset rows, models, users & server power
• Core dashboards & explanations only
• Email and Docs support only
This environment is designed for learning and exploration.
It is not intended for production use, decision impact analysis, or enterprise workloads.
Capability | SANDBOX | Enterprise |
|---|---|---|
Predictive models | Limited | Included |
Causal inference & uplift | — | Included |
Prescriptive next‑best‑action | Limited | Full
|
Connectors / Users + Models | Limited | All / Custom |
Infrastructure | Basic performance | Dedicated, high‑performance |
Onboarding | Self‑guided | success team + managed services |