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Market
research data analytics platform

Market researcher teams leverage GiQ, equipped with powerful neural graphs and Generative AI, to transform rapidly growing volumes of data into applicable insights.

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AI-enabled market trends analysis

Analyze web and social media data with GiQ to track customer behavior and understand your competition. Use bio-inspired neural graphs to identify and visualize market trends, helping your team fine-tune products and marketing strategies to align with market opportunities.

GenAI sentiment analysis

GiQ employs LLMs to analyze sentiment in unstructured data such as emails, chatbot transcripts, and social media posts. By accurately assessing the author’s attitude toward various topics, GiQ enables your team to gain a deeper understanding of the audience. Gen AI-driven sentiment analysis helps tailor product development and refine marketing strategies by identifying customer preferences and emerging market trends.

Market segmentation analysis

GiQ enables your team to perform market segmentation analysis using advanced graph-based clustering techniques to categorize target groups based on diverse attributes and behavioral data. By understanding the unique characteristics and behaviors of different segments, GiQ provides deeper insights that drive informed business strategies.

AI-enabled market trends analysis

Analyze web and social media data with GiQ to track customer behavior and understand your competition.

Use bio-inspired neural graphs to identify and visualize market trends, helping your team fine-tune products and marketing strategies to align with market opportunities.

GenAI sentiment analysis

GiQ employs LLMs to analyze sentiment in unstructured data such as emails, chatbot transcripts, and social media posts.

By accurately assessing the author’s attitude toward various topics, GiQ enables your team to gain a deeper understanding of the audience.

Gen AI-driven sentiment analysis helps tailor product development and refine marketing strategies by identifying customer preferences and emerging market trends.

Market segmentation
analysis

GiQ enables your team to perform market segmentation analysis using advanced graph-based clustering techniques to categorize target groups based on diverse attributes and behavioral data.

By understanding the unique characteristics and behaviors of different segments, GiQ provides deeper insights that drive informed business strategies.

FAQ: learn more about sentiment analysis, market data research, and analysis of consumer behavior

Explore answers to some of the most intriguing market research questions and discover how AI is transforming data analytics for market researchers.

What is a consumer behavior analysis?

Consumer behavior analysis involves studying how individuals decide to purchase and use products and services. It focuses on identifying and understanding the psychological, social, cultural, personal, and situational factors that influence these decisions. By analyzing consumer behavior, market researchers can gather insights into consumer preferences, motivations, and purchasing patterns, enabling businesses to develop targeted marketing strategies, improve product offerings, and enhance customer satisfaction to drive sales and achieve a competitive edge in the market.

What is a sentiment analysis?

Sentiment analysis identifies and quantifies the emotional tone and opinions expressed in textual data. This method involves analyzing customer reviews, social media posts, survey responses, and other text sources to determine whether the sentiment is positive, negative, or neutral. By understanding customer sentiments, market researchers can gauge public perception of products, services, and brands, allowing businesses to respond proactively, tailor their marketing strategies, improve customer satisfaction, and make informed decisions to enhance their market position.

How do LLMs improve sentiment analysis?

LLMs significantly enhance sentiment analysis by utilizing their vast training on diverse datasets to understand and interpret human language with high accuracy. LLMs can grasp context, detect subtle nuances, and recognize complex emotions in textual data.

What is supply chain optimization?

Supply chain optimization is the process of enhancing the efficiency and effectiveness of a supply chain to ensure products are produced and delivered cost-effectively and on time. This involves minimizing costs, managing inventory levels, accurately forecasting demand, coordinating with suppliers, and optimizing logistics. It also includes risk management, sustainability efforts, and the integration of advanced technologies like AI and IoT to improve data visibility and decision-making.

What is a market segmentation analysis?

AI enhances supply chain optimization by improving demand forecasting, inventory management, supplier relationship management, and logistics through advanced data analysis and predictive algorithms. It enables predictive maintenance to reduce downtime, automates repetitive tasks, and provides comprehensive data integration for better decision-making. Additionally, AI identifies and mitigates risks, optimizes routes for cost and time efficiency, and supports sustainability initiatives. These applications lead to a more efficient, resilient, and agile supply chain, resulting in reduced costs, improved service levels, and a stronger competitive edge.

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