Head-to-head comparison
mpf research vs iri
iri leads by 10 points on AI adoption score.
mpf research
Stage: Early
Key opportunity: AI can automate survey analysis, sentiment parsing, and trend prediction, transforming raw data into strategic insights 10x faster and enabling real-time client dashboards.
Top use cases
- Automated Qualitative Analysis — Deploy NLP models to analyze open-ended survey responses, interview transcripts, and social media comments at scale, ext…
- Predictive Market Sizing — Use machine learning on historical project data and external datasets to forecast market growth, segment sizes, and prod…
- Research Process Optimization — Implement AI tools for survey design suggestion, sample balancing, and data quality validation to reduce project setup t…
iri
Stage: Mid
Key opportunity: Deploying AI-driven predictive analytics and generative AI to automate insight generation from disparate retail and consumer data, dramatically reducing time-to-insight for CPG clients.
Top use cases
- Automated Market Mix Modeling — AI models continuously analyze sales, pricing, and promotion data to optimize marketing spend allocation and predict ROI…
- Synthetic Data Generation — Generate synthetic consumer panels and store-level data to fill coverage gaps, enhance model training, and simulate mark…
- Natural Language Insight Summarization — Use LLMs to automatically scan earnings calls, social media, and news, summarizing key trends and sentiment for client c…
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