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Platform

One platform. Three connected solutions for pricing, growth and demand planning.

Pricing Intelligence, Customer Intelligence and Forecasting read from the same commercial data model and the same evidence graph. A price change informs the forecast, a new account informs pricing, and every answer carries its source.

Products

Each solution answers one commercial decision. The common platform serves all three, and private equity diligence on its own.

How the platform is built

Products sit on three shared layers that every client deployment reuses.

Applications
sellPricing IntelligencePrice
rocket_launchCustomer IntelligenceGrow
monitoringReady ReckonerCompany and market reports
pie_chartMarket SizingBottom up market models
publicAtlasLocation intelligence
query_statsForecastingPlan
scienceResearchResearch agents
forumAsk AristotleAssistant across the platform
Agents and review
travel_exploreResearch agentsRead, analyze and cite
sellAnalysis agentsPricing, forecasting, location
fact_checkAutomatic checksEvery figure traced
how_to_regExpert reviewSpecialists approve
Shared data layer
hubCommercial data modelCustomers, products, prices, markets
account_treeEvidence graphSources and calculations
cloud_lockSingle tenantClient owns the data and models
Sources
databaseERP and finance
contactsCRM and CPQ
newspaperFilings, news and web
mapLocation and market data
Commercial graph

Customers, products, quotes, prices and markets are connected in one graph.

Applications read from the graph and write back what they learn, so each application gets better as the others run.

link
Every figure has a source

Each fact links to the quote, filing or record it came from.

sync_alt
Shared across applications

Pricing Intelligence, Forecasting and Customer Intelligence work from the same facts.

lock
Lives in the client's tenant

The graph is deployed in a single tenant, Aristotle-hosted or in the client's own cloud, and is owned by the client.

Quotepriced by Pricing Intelligence Customer Product Market Accountplan Pricecorridor Forecast Recom-mendation evidencecites 412 sources Customer IntelligenceForecastingMarket Sizing
Deployment

Thirty days to a sized opportunity. Ninety days to the first results.

1

Connect

Read only links or flat-file extracts from ERP, CRM, quoting and finance data, into one tenant.

Week 1 to 2
2

Diagnose

The applications build the data model and size the opportunity in margin and revenue.

Week 2 to 4
3

Recommend

Prices, account plans and forecasts reach the people who decide, with the evidence attached.

Month 2
4

Act

Approved changes flow into the price book, CRM and planning tools.

Month 2 to 3
5

Learn

Results feed back into the models, which retrain and sharpen each quarter.

Every quarter

Size the opportunity on your own data in 30 days.

The diagnostic connects to existing systems and sizes the pricing and growth opportunity.

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