Head-to-head comparison
qy research vs iri
iri leads by 13 points on AI adoption score.
qy research
Stage: Early
Key opportunity: Deploy a generative AI research assistant that automates report drafting, data synthesis, and chart generation from internal databases, cutting production time by 60% and enabling analysts to focus on high-value strategic insights.
Top use cases
- Automated Report Generation — Use LLMs trained on proprietary data to generate first drafts of market reports, including executive summaries, trend an…
- AI-Powered Data Visualization — Implement natural language to chart tools that allow analysts to instantly create and update complex visualizations from…
- Intelligent Research Assistant — Deploy an internal chatbot connected to all past reports and purchased datasets, enabling researchers to query historica…
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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