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TradeMonday

TradeMonday is an AI-powered retail platform that analyzes global consumer, product, and brand data to provide actionable insights for businesses, enhancing product and shopper recommendations. By utilizing low-code technology, it enables retailers to quickly integrate and visualize data, improving strategy planning and operational efficiency.

East New York, United StatesFounded 20169700+ followers
Updated 20 months ago

Funding

$450K 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.

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Funding rounds are not available yet.

Founders

Product

Problem

Retailers, consumer brands, and shopping malls struggle to effectively analyze and leverage vast amounts of consumer, product, and brand data from disparate sources. This makes it difficult to identify key market trends, understand consumer behavior, and optimize product and tenant recommendations. Traditional data analysis methods are often slow, costly, and require significant technical expertise.

Solution

TradeMonday provides an AI-powered, low-code platform that aggregates and analyzes retail market data to deliver actionable insights for businesses. The platform integrates diverse data sources, including social media, e-commerce platforms, and transactional data, to provide a comprehensive view of consumer behavior, product performance, and brand perception. Using pre-built AI engines, TradeMonday extracts and standardizes retail data, enabling users to quickly identify opportunities for growth and improve decision-making. The platform offers customizable dashboards, AI-driven alerts, and recommendation engines to automate data-driven business operations.

Target Audience

The primary target audience includes innovation departments, C-level executives, MIS professionals, and sales directors in retail, e-commerce, consumer brands, and shopping malls.

Features

  • Pre-integrated retail data sources, including social, e-commerce, trending, and lifestyle data.
  • AI engines for collecting and extracting retail data from online transactions, product reviews, social video, foot traffic, and sales receipts.
  • Low-code modular platform for easy integration and customization.
  • Configurable dashboards for visualizing customer personas, potential brands, products, and tenant performance.
  • AI-driven alerts based on predefined business rules to facilitate responsive action on market and competition.
  • ChatGPT integration for generating business recommendations.
  • API and data-feed support for seamless integration with existing systems.
This profile is AI-generated and may contain inaccuracies.