Head-to-head comparison
gbi research vs iri
iri leads by 10 points on AI adoption score.
gbi research
Stage: Early
Key opportunity: AI can automate the analysis of vast, unstructured data sources like earnings calls, regulatory filings, and social media to generate unique, predictive market insights faster than traditional methods.
Top use cases
- Automated Sentiment & Trend Analysis — Deploy NLP models to continuously scan news, patents, and social media, identifying emerging trends and sentiment shifts…
- Intelligent Survey Design & Analysis — Use AI to optimize survey questions, predict respondent drop-off, and perform advanced clustering on open-ended response…
- Competitive Intelligence Synthesis — Leverage multi-modal AI to aggregate and summarize competitors' financials, product launches, and marketing from dispara…
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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