Nextatlas Generate
Overview
Nextatlas Generate is a new AI-driven generative trend forecasting service that uses advanced natural language processing and machine learning algorithms to analyze large amounts of data from social media platforms to predict future consumer trends in various industries and markets.
This service significantly reduces the time and resources needed for trend reporting. Generate leverages GPT-4's natural language generation capabilities to create high-quality, human-like content, such as blog articles, social media posts, and trend reports that are tailored to specific industries and topics.
The service also offers a Casefinder feature, an AI-driven matchmaker for business cases, and visualization tools for effective data interpretation.Nextatlas Generate is the first of its kind in the world, and it focuses solely on identifying forecasted trends and consumer behaviors.
The service is geared towards businesses that want to stay ahead of the competition by predicting emerging trends and providing actionable insights. The service includes two subscription plans: Personal for freelancers and small teams and Enterprise for larger businesses with multiple users and more queries allowed per month.
Generate uses data from over 300k cross-industry innovators that are constantly crawled through all major social media platforms. This guarantees that the generative reports are anchored in the collective intelligence and firmly based in reality, providing valuable insights for companies' strategy and foresight.
Generate is currently available in multiple languages such as English, Chinese, Spanish, Italian, French, and Russian. It can cover a wide range of industries, including advertising and branding, agriculture, art and design, automotive and transport, fashion and accessories, financial, food and beverage, government and public sector, health, home and interiors, media and entertainment, nonprofit and social cause, packaging and graphics, pets, retail, sports and leisure, technology, and travel.
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