Head-to-head comparison
m-panels vs iri
iri leads by 7 points on AI adoption score.
m-panels
Stage: Early
Key opportunity: Leveraging generative AI to automate survey design, sentiment analysis, and panelist matching, reducing turnaround time and improving data quality.
Top use cases
- Automated survey generation — AI drafts surveys from client briefs, optimizes question flow, and reduces design time by up to 50%, enabling faster pro…
- Sentiment analysis at scale — NLP models analyze open-ended responses, detecting themes and sentiment, cutting manual coding hours and improving consi…
- Panelist fraud detection — Machine learning flags bots, speeders, and inattentive respondents in real time, boosting data integrity and client trus…
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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