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PIMS.AI Database of Strategic Planning

Price

$1,500.00

Free trial

No

Free version

No
Categories: Market Research

Description

PIMS.AI is a predictive analytics and strategic intelligence platform built on the decades-long PIMS® (Profit Impact of Market Strategy) empirical research program. It combines AI, machine learning, and the world’s largest longitudinal dataset on strategy and performance to help organizations benchmark performance, uncover causal drivers of outcomes, optimize customer value, and make evidence-based strategic decisions […]

Features

The PIMS® database

Key Features Include:

  • Strategic Benchmarking & Predictive Analytics: Objectively assess portfolio performance, competitive positioning, and opportunities for growth or divestment using rich empirical data and causal modelling.

  • Customer Value Management (CVA®): Quantify how customers perceive your product/service relative to competitors and identify improvement priorities for competitiveness and pricing decisions.

  • Operational & Organisational Insights: Analyse operational efficiency, organisational effectiveness, and leadership alignment to drive internal improvements and transformation.

  • Historical Data Depth: Leverages over 60+ years of empirical business performance data across thousands of strategic business units — enabling evidence-based forecasting, scenario analysis, and strategy validation.

  • AI-Enhanced Modelling: Applies machine learning to detect patterns and causal relationships in strategic drivers (e.g., market share, quality, investment) across industries and geographies.

  • Custom Dashboards & Decision Tools: Enterprise dashboards for portfolio analysis, KPI tracking, and management reporting within a strategic intelligence framework.

Cost

$1,500.00

Notes

Expect starting pricing in the range of ~$10,000–$30,000 per year for initial strategic benchmarking or analytics access with limited seats and baseline deliverables. PIMS.AI does not publicly publish fixed pricing tiers on its website. Because the platform is enterprise-oriented and highly customised, pricing typically depends on: Scope of analytics required (e.g., strategic benchmarking, customer value analysis). Size and complexity of the organization’s data and reporting needs. Level of implementation, support, and integration required. Access is generally arranged through consultation with their sales/experts team, who tailor pricing based on client goals and strategic use cases (common for deep analytics platforms).

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