# MercuriDash

> MercuriDash is an AI product strategist for distinctive consumer brands. It applies product decision intelligence through one workflow: add brand context, generate or import concepts, evaluate market evidence, feasibility and strategy, compare pathways, approve and learn from outcomes. The team keeps the judgement.

## Core pages

- [Home](https://mercuridash.com/): Positioning, workflow and FAQs.
- [Product Magic Pilot](https://mercuridash.com/get-started): 30 days free on real products.
- [Pricing](https://mercuridash.com/pricing): Studio ($15,000/year or $5,000/quarter direct), Brand ($25,000/year), House (custom quote).
- [How it works](https://mercuridash.com/#how-it-works): Six-part workflow on the homepage.
- [FAQs](https://mercuridash.com/#faqs): Direct answers on the homepage.
- [Watch](https://mercuridash.com/learn): Explainers and walkthroughs.
- [Blog](https://mercuridash.com/blog): Articles on product decision intelligence, including comparisons.
- [AI Product Development, Concept Validation and Strategy: 35 Questions Answered](https://mercuridash.com/blog/ai-product-development-validation-faqs): Direct answers on concept evaluation, brand fit, demand evidence, feasibility and decisions after launch.
- [Concept Development and Validation](https://mercuridash.com/blog/concept-development-validation): Creative judgement, consumer evidence, strategy and feasibility for consumer brand NPD and innovation teams.
- [What Is Product Decision Intelligence? Where MercuriDash Fits](https://mercuridash.com/blog/product-decision-intelligence): How MercuriDash fits alongside PLM, merchandising, demand forecasting, analytics and AI design tools.
- [Product Decision Intelligence: Deciding Which Products Deserve Investment](https://mercuridash.com/blog/beyond-faster-product-development): Why speed gains need to lead to better product investment decisions.
- [How MercuriDash Compares](https://mercuridash.com/blog/how-mercuridash-compares): Category distinctions plus WGSN, Vantage CPG and Highlight comparisons.
- [Using AI for Product Decisions](https://mercuridash.com/blog/using-ai-for-product-decisions): AI concept testing and fashion product decisions.
- [Why Product Intelligence Needs to Learn Taste, Process and Performance](https://mercuridash.com/blog/taste-process-performance): The three connected areas of learning behind product decision intelligence.
- [Your Always-On AI Product Strategist](https://mercuridash.com/blog/always-on-ai-product-strategist): Why product decisions continue after launch — restocks, range reviews, refreshes and new markets.
- [Partners](https://mercuridash.com/partners): Partner programme.
- [Request a pilot](https://mercuridash.com/pilot-request): Direct pilot application.
- [Privacy](https://mercuridash.com/privacy)
- [Terms](https://mercuridash.com/terms)

## Markdown equivalents


- [Full site Markdown](https://mercuridash.com/site.md): Public-page text, six-part workflow, current plans, FAQs and full blog articles; refreshed on every publication.
- [Complete public reference](https://mercuridash.com/llms-full.txt): The same full-site Markdown in one text response; no JavaScript required.
- [Frequently asked questions](https://mercuridash.com/questions.md): Current homepage questions and answers.
- [Sitemap](https://mercuridash.com/sitemap.xml): Public page URLs.
- [Pricing](https://mercuridash.com/pricing.md)

## Important distinctions

- All plan prices are USD. Studio: $15,000 per year, or $5,000 per quarter directly (four quarters cost $20,000). Brand: $25,000 per year. Decisions and outcomes build learning for future launches. House: custom quote.
- Direct pilot: accepted request and invitation, no payment details to start, no automatic paid upgrade.
- Microsoft Marketplace: automatic pilot entry; Microsoft bills the selected annual plan at pilot end unless cancelled before then.
- Analysis and illustrative value estimates are not proof of realised sales or guaranteed ROI. Consumer research and physical testing are distinct from AI evaluation.
- Annual paid scope: Studio has one workspace, one Brand DNA and three internal seats; Brand has one workspace, one Brand DNA, five internal seats and the goal-led Brand agent; House covers multiple brands. All include unlimited free external collaborators. Pilot scope is distinct from the selected paid plan.

## About

- MercuriDash is operated by Angel Commerce Ltd.
- Founder: Rita Sheth (https://ritasheth.com).
- Category: AI product strategist applying product decision intelligence for consumer brands.