Graphite Note: Decision Intelligence Platform
Graphite Note is designed for data teams and business users in retail, CPG, and manufacturing. It helps these organizations move from historical reporting to predictive modeling and decision impact analysis.
At a glance
- Category
- Data & Analytics
- Best for
- Retail and E-commerce businesses, CPG companies, Manufacturing firms, Business managers without data science backgrounds, Enterprise data teams
- Pricing
- Enterprise plans start from $50,000 per year. A free Sandbox environment is available for limited exploration and learning.
- Key use cases
- Demand and Revenue Forecasting, Customer Churn Prevention, Lead Conversion Scoring, Promotion Optimization, Manufacturing Quality Control
- Integrations
- MySQL, MariaDB, Oracle, PostgreSQL, Redshift
- Official website
- graphite-note.com/
Graphite Note is a decision intelligence platform that combines no-code machine learning with a delivery service to help businesses execute data-driven strategies. The tool supports predictive analytics for use cases such as lead conversion, demand forecasting, and churn prediction, while decision impact modeling helps users estimate how specific changes—such as price adjustments—may affect outcomes.
Because the platform is designed for those without extensive data science backgrounds, it includes a delivery team to assist with model building, insight generation, and workflow integration. Users can explore basic predictive templates in a free Sandbox environment, while full causal and prescriptive tools are available in the Enterprise tier.
Key Features
Supports building machine learning models for business forecasting without requiring code.
Supports "what-if" scenarios to estimate how specific actions may change business outcomes.
Provides prioritized action plans with expected impact, timing, and budget guidance.
Helps identify the drivers behind business results to distinguish between correlation and causation.
Supports importing data from various SQL databases and CSV files.
A free environment for learning and exploring basic predictive templates.
Use Cases
Predicting weekly SKU demand and revenue to support inventory and pricing plans.
Identifying at-risk customers and modeling which interventions may help retain them.
Ranking sales leads by likelihood to convert to help teams prioritize outreach.
Analyzing whether promotions create new sales or pull existing demand forward.
Identifying drivers of defects to help simulate interventions like shift schedule changes.
Best For
Integrations
Pricing
Enterprise plans start from $50,000 per year. A free Sandbox environment is available for limited exploration and learning.
FAQ
No, the platform is designed for non-technical users, and the company provides a delivery team to handle model development and interpretation.
The Sandbox is for exploration and includes limited predictive templates, while Enterprise plans include full causal modeling, prescriptive playbooks, and dedicated infrastructure.
Enterprise engagements typically start at $50,000 per year, with pricing tailored to the scope of the data and decisions involved.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
