Noogata provides an AI-driven assistant for eCommerce teams that delivers sales insights and competitor intelligence to enhance digital shelf performance on Amazon. The platform enables brands to identify revenue loss, optimize product visibility, and streamline team collaboration, ultimately driving sales growth and improving market share.
Funding
$28M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ERFounders
Product
Problem
E-commerce teams often struggle to efficiently monitor and react to trends, competitor activities, and market changes affecting their product performance on platforms like Amazon. Identifying revenue loss, optimizing product visibility, and streamlining team collaboration can be time-consuming and require extensive manual analysis.
Solution
Noogata provides an AI-powered platform designed to assist e-commerce teams in enhancing their digital shelf performance on Amazon. The platform delivers sales-focused insights and competitor intelligence, enabling brands to rapidly identify growth opportunities, diagnose digital shelf performance issues, and prioritize improvements. It facilitates team collaboration by tracking products, assigning tasks, and monitoring progress, ultimately helping businesses mitigate revenue risks, optimize product content, and improve advertising campaign performance. By automating data analysis and insight discovery, Noogata allows teams to focus on strategic decision-making and drive sales growth.
Target Audience
The primary target audience includes e-commerce teams, brands, agencies, and CPG companies selling on Amazon who need to optimize their digital shelf performance and drive sales growth.
Features
- AI-driven insights that proactively surface and prioritize relevant opportunities for growth and revenue protection.
- Competitor and market intelligence to optimize search, content, pricing, assortment, and inventory strategies.
- Digital shelf analytics to diagnose performance, identify revenue loss, and benchmark against competitors.
- Team collaboration tools for assigning tasks, tracking progress, and monitoring productivity across e-commerce teams.
- Amazon revenue monitoring and protection features to mitigate revenue risks and maintain price integrity.
- Search trendspotting to identify emerging search trends and capitalize on opportunities ahead of competitors.
- Content optimization tools with content scoring to identify weak performing product content and generate titles and descriptions.
- Ad Booster to view top-performing keywords, protect bid budgets, and discover high-performance keywords and ASINs.