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Noogata Extends Ecommerce Functionality for Improved AI-Driven Decision-Making

Noogata, a global leader in no-code artificial intelligence (AI), announced the addition of powerful new functionality and blocks to its Ecommerce Library. Noogata customers now have additional visibility over their and their competitors’ product listings, with the ability to quickly identify and react to changes, monitor exposure and rankings over time, and easily manage their sales KPIs. These new capabilities build on the Noogata platform’s ability to leverage data to provide useful analysis and insight across a wide range of ecommerce products and categories, optimize decision-making and boost sales and profitability.

Noogata has also improved the platform’s interface to make it easier for users to get the information they need and for large teams to collaborate on the Noogata platform. These enhancements have been made based on the way current users are deploying the platform to drive impact for their businesses. The new blocks and the additional functionality amplify the power of existing blocks, extending the ability of the Noogata platform to turn data into actionable insights.

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“We’ve been working with our users on implementing and scaling Noogata across their team and portfolio, which has taught us a lot about what our users do and what they want. These user learnings have helped us improve our product to make our AI blocks smarter and the resulting insights more actionable. We also focused on improving the platform’s usability and ability to scale so that it’s easier for the growing number of business users to tap into the power of AI-driven decision making,” said Oren Raboy, CTO and co-founder, Noogata.

Noogata’s SaaS-based platform makes AI and ML capabilities accessible to any business user who needs to analyze data. The modular, plug-and-play design is both simple enough for anyone to get started quickly and customizable to answer data-driven questions. The Noogata platform is made up of hundreds of pre-built AI blocks and libraries. These are organized by business function and, used individually or in combination, produce insights, predictions and analysis across marketing, ecommerce and sales.

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