Graphite Note

Graphite Note combines predictive models, causal evidence, and optimisation around specific business decisions, aiming to show what is likely to happen, what can change it, and which feasible action should happen next. It offers industry Decision Packs for retail, eCommerce, CPG and beverages, manufacturing, hospitality, and telecommunications, plus capabilities including AutoML, causal machine learning, predictive analytics, decision optimisation, and a Decision API for embedding recommendations into workflows. The page describes an enterprise delivery process of connecting data, modelling outcomes, validating causes, and activating decisions, and lists certified information security and AI management systems. Case studies on the page cover telecommunications, specialty retail, manufacturing, automotive distribution, hospitality, and omnichannel retail. Pricing is not listed on the page; a sandbox and demo are offered.

Key features

• Decision Packs for retail, eCommerce, CPG and beverages, manufacturing, hospitality, and telecommunications
• AutoML for automated model-building
• Causal machine learning to separate drivers from correlations and estimate intervention effects
• Predictive analytics for demand forecasting, customer scoring, and outcome anticipation
• Decision optimisation to compare feasible actions and rank them by expected business impact
• Decision API for delivering recommendations, expected impact, and evidence into workflows
• Embedded decision intelligence for ERP, CRM, BI, workflow, and vertical software
• Capabilities listed include price elasticity, assortment optimisation, inventory optimisation, production scheduling, next best action, and demand driver analysis
• Sandbox access and demo booking
• Certified information security and AI management systems

Best suited for

• Retail teams deciding assortment, allocation, and promotions
• eCommerce teams deciding recommendations, retention, and bundles
• CPG and beverage teams evaluating pricing, promotions, and distribution
• Manufacturing teams planning production schedules and reducing scrap
• Hospitality teams optimising demand, pricing, and offers
• Telecommunications teams targeting churn-risk customers with retention offers

Pricing

Not stated on the website