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Analyze NielsenIQ data for pricing, promotions, and competitive revenue growth decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RGM MCP Server" yet — see the docs or source repo.
Using NielsenIQ sales data, calculate price elasticity by brand, SKU, and region for the past 12 months, and identify which products have the highest risk from price increases.
Returns price elasticity results by brand and SKU, highlighting highly sensitive items and pricing risk notes.
Analyze the last three quarters of promotions for sales uplift, profit impact, and post-promotion dip, then recommend the most effective promotion mechanics.
Provides a promotion effectiveness report with sales uplift, profit changes, activity ranking, and optimization recommendations.
Calculate the price index of our brand versus key competitors across channels, identify categories priced too high or too low, and suggest dynamic pricing actions.
Delivers a channel-level competitive price index dashboard with gap detection and pricing action suggestions.
Analyze price elasticity, promo impact, and pricing optimization using NIQ data.
Answer retail analytics questions with natural-language reasoning over SQL and RAG.
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Query and analyze investment data from Norway’s sovereign wealth fund.
Run reproducible econometrics and statistical workflows through headless R execution.