Gastrograph AI is an AI-powered platform designed to help consumer packaged goods (CPG) companies optimize products and enter new markets by leveraging the world’s largest sensory database. It provides real-time, data-driven insights to shorten time-to-market and improve product-market fit across flavors, textures, and aroma profiles. The platform emphasizes measurable predictions across global regions, enabling tailored product development and market adaptation.
Overview
- Purpose: Optimize and develop food & beverage products for consistent market wins.
- Core value: Reduces development costs and time by delivering trustworthy, actionable insights derived from extensive sensory data.
- Target users: CPG brands, product developers, R&D teams, marketing teams seeking data-backed flavor and format decisions.
How It Works
- Leverage Gastrograph AI’s predictive models trained on a vast sensory database to forecast consumer preferences by market, demographics, and product attributes.
- Input product concepts or existing formulations to receive predicted acceptance across regions and consumer segments.
- Use insights to fine-tune flavors, textures, and aroma profiles, optimize for specific markets, and guide development iterations.
- Make data-driven go/no-go decisions for new products or market expansions, reducing reliance on costly real-world testing.
Why Gastrograph? Why Now
- AI-first approach with continuous learning from the world’s largest sensory dataset.
- Helps brands create breakthrough products or optimize existing ones for diverse markets.
- Enables faster, more cost-efficient product development and market adaptation.
Use Cases
- Develop New Products: Customize formulations to align with preferred flavors, textures, and aromas.
- Enter New Markets: Adapt products to match regional consumer preferences and cultural nuances.
- Optimize Existing Products: Identify opportunities to adjust formulation in response to shifting tastes.
- Data-Driven Marketing & Sales: Leverage predictions to strengthen positioning and messaging.
Measurable Results
- Global reach: 35+ countries for location-specific predictions.
- Scale: 2+ billion data points across diverse food and beverage categories.
- Demographics: Targetable by gender, age, smoking habits, taste experience, etc.
- Predictive Intelligence: Models of flavor, texture, and aroma preferences worldwide.
- Data augmentation: Predictions improve with more projects; reuse data from a single product sample.
Core Features
- Global, data-driven product and market insights from a large sensory database
- Real-time predictions of consumer preferences by country, region, and demographics
- Customizable product development guidance for flavors, textures, and aromas
- New product development support and market-entry optimization
- Optimization of existing products in line with evolving consumer tastes
- Measurable, data-backed marketing and sales impact
- Scalable data utilization with fewer samples required per project
- Ability to reuse data from a single product to inform multiple decisions
- Country- and region-specific recommendations for flavor and formulation