Graphite Note

Freemium

Decision intelligence for teams turning business data into commercial and operational actions.

什么是 Graphite Note？

Graphite Note is a decision intelligence platform for commercial and operational teams in retail, eCommerce, consumer packaged goods, telecommunications, hospitality and manufacturing. It combines predictive analytics, causal machine learning and optimisation to recommend actions from first-party business data.

Its industry Decision Packs bring together models, business rules and operating constraints around recurring choices, such as allocating inventory or selecting retention offers. Recommendations include supporting evidence and expected impact. Enterprise engagements combine the platform with model development, validation, onboarding and ongoing support.

Graphite Note 能做什么？

Predictive modelling and forecasting

Uses AutoML and predictive models to estimate demand, churn, customer value and offer response, helping teams anticipate outcomes before choosing an action.

Causal inference and uplift

Uses causal methods where appropriate to distinguish actionable drivers from correlations and estimate which audiences may change behaviour after an intervention.

Optimisation under business constraints

Compares feasible actions against capacity, pricing, inventory and other operating rules, then ranks them by expected business impact.

Industry Decision Packs

Bundles the models and decision logic needed for a specific recurring business choice. Packs cover retail, eCommerce, CPG and beverages, manufacturing, hospitality and telecommunications.

Recommendations with supporting evidence

Returns prioritised actions with expected impact and the rules used, supports delivery into business workflows, and measures what changed after activation.

使用场景

“Retail assortment and stock allocation”

Merchandising teams can decide which SKUs each store or channel should carry and where stock should move, accounting for demand, substitution and constraints.

“CPG pricing and promotion planning”

Commercial teams can assess promotion incrementality, price elasticity and distribution changes to choose moves intended to improve portfolio volume or margin.

“Telecom retention targeting”

Retention teams can select which churn-risk customers should receive an offer or next-best action, considering whether intervention is likely to influence behaviour.

“Hospitality guest and revenue decisions”

Revenue and marketing teams can use reservations, booking pace, stay history and spend to prioritise guest audiences, ancillary offers and changes to discount availability.

“Manufacturing production planning”

Operations teams can choose what should run, where and when, using forecasting, scheduling and capacity models under machine, labour, material and capacity constraints.

常见问题

Does our team need data scientists?

No. Graphite Note handles model development, validation and interpretation. Your team retains responsibility for the business decision and its execution.

What determines Enterprise pricing?

The Enterprise Decision Intelligence Suite starts at $50,000 per year. The website states that most engagements range from $50,000 to $200,000 annually, depending on decision scope, data complexity, delivery model, infrastructure and rollout.

What can we explore in Sandbox?

Sandbox provides limited predictive models and datasets, core dashboards and explanations, with self-guided onboarding. It excludes causal inference and uplift and is not intended for production workloads or enterprise activation.

Can we validate a use case before a wider rollout?

Yes. A scoped paid pilot uses your data to validate the method, estimate potential impact and define a route to production. Enterprise does not offer a traditional free trial.