HOW TO USE PALETTE

Real-Time Trend Tracking and Prediction

At the forefront of AI Palette's capabilities is its advanced AI-powered predictive analytics, offering product innovation teams the ability to track trends as they emerge, evolve, and eventually fade across various markets.

The platform's dynamic nature ensures that companies can stay ahead of their competition by identifying the latest trends and predicting their future trajectory.

By providing up-to-the-minute insights, AI Palette empowers CPG brands to make informed decisions and capitalize on emerging opportunities swiftly.

Comprehensive Support for Product Innovation

AI Palette is the go-to solution for many of the world's top CPG companies during their product innovation process.

The platform plays a pivotal role in conceptualizing new products, optimizing existing product portfolios, and localizing product lines for different markets.

By analyzing vast amounts of data and generating actionable insights, AI Palette enables product innovation teams to make data-driven choices that resonate with their target audience.

Multilingual Insights and Global Reach

In a globalized marketplace, language barriers can hinder valuable insights. However, AI Palette addresses this challenge by delivering trend analyses and predictions in an impressive 18 languages and counting.

The platform's multilingual support empowers CPG companies to gain a deeper understanding of trends in diverse regions and markets, facilitating strategic decision-making on a global scale.

Identifying White Space Opportunities

The platform helps users by spotting and mapping early and emerging trends, understanding what drives them, and predicting their growth.

More Representative Insights

AI Palette empowers businesses to extract more representative and accurate insights even from small sample sizes.

By augmenting these samples with millions of data points from relevant data sources within the target market, the platform ensures a comprehensive understanding of consumer preferences and trends.

This data-driven approach allows companies to make informed decisions based on a wealth of information, enabling them to stay ahead of the competition and identify emerging opportunities.

Multi-Dimensional Analysis of Consumer Behavior

With AI Palette, product innovation teams can tap into multiple dimensions of consumer behavior.

By analyzing various facets of consumer preferences and habits, such as flavor and ingredient pairings and product attributes, companies can generate a diverse array of new ideas and concepts.

This multi-dimensional approach fosters creativity, drives innovation, and leads to the creation of products that genuinely resonate with consumers, fostering brand loyalty and customer satisfaction.

Accelerated Product Development Cycles

AI Palette significantly shortens the trial-and-error cycles typically associated with product development.

Using AI and machine learning, the platform quickly identifies preferred flavor combinations, ingredient pairings, and product attributes.

This rapid analysis streamlines the product development process, reducing time-to-market and providing companies with a competitive advantage by swiftly adapting to changing consumer trends.

Optimizing Product Portfolio with Predictive Trends

AI Palette facilitates data-driven decision-making when it comes to product portfolio optimization.

By analyzing predictive trend behavior, businesses can identify which products are most likely to succeed in the market and where to allocate resources for scaling.

This strategic approach ensures that product portfolios align with consumer demands, maximizing profitability and driving sustained growth.

Better Market Localization

When expanding into new markets, AI Palette provides businesses with the confidence to localize products effectively.

The trends and insights derived from the platform are based on data sources relevant to each specific market and analyzed natively, not simply translated.

This granular understanding of consumer behavior in localized contexts allows companies to tailor their products to meet the unique needs and preferences of different regions, leading to stronger brand positioning.