Tastewise collects global menus, recipes, social posts, delivery-platform and retail data, using AI to analyze food-and-beverage consumption trends — what flavors are rising, which demographics are chasing what, and where the discussion of a certain ingredient started to spread. It now leads with an AI-agent form, letting marketing and R&D staff ask questions directly in natural language rather than digging in a dashboard themselves.
Features and use scenarios
Data covers millions of menus and recipes, social discussions, and e-commerce reviews, with output including trend forecasts, consumer-need insights, competitor analysis, and new-product concept validation. The most practical for food companies is "concept validation" — before investing in R&D, first check whether a flavor combination has demand signals in the real world.
It suits food-and-beverage brands' R&D and marketing, restaurant chains' menu development, and ingredient suppliers. Taiwan's food industry and restaurant chains mostly rely on chef intuition and market observation for new-product development, and this "look at data before developing" methodology is a clear direction for improvement.
Main features
- Global menu and recipe data analysis
- Social and e-commerce consumption-signal tracking
- Flavor and ingredient trend forecasting
- New-product concept demand validation
- Natural-language query AI agent
Common uses
- Food new-product development
- Restaurant menu planning
- Flavor-trend research
- Brand-marketing theme planning
Key Features
- Global menu and recipe data analysis
- Social and e-commerce consumption-signal tracking
- Flavor and ingredient trend forecasting
- New-product concept demand validation
- Natural-language query AI agent
Pros
- Broad data sources, covering real consumption behavior
- AI agent lowers the data-analysis barrier
- Can validate demand before R&D
Cons
- Taiwan and Chinese-market data coverage needs confirming
- Trend forecasting still has uncertainty
- Enterprise-grade pricing, hard for small food businesses to afford
Use Cases
- Food new-product development
- Restaurant menu planning
- Flavor-trend research
- Brand-marketing theme planning
Editor's Note
There's an old saying in the food industry: what consumers say and do are two different things. That's why looking at menu data is more accurate than looking at surveys — no one lies when ordering food.
FAQ
Does it have Taiwan data?
The platform mainly uses US and European market data, and Taiwan and Asia coverage needs confirming. Food trends vary greatly by region, so if the data doesn't cover your target market its reference value is limited.
How does it differ from ordinary market research?
Market research asks 'what you say you want to eat,' while Tastewise looks at 'what you actually ordered and posted.' Behavioral data is usually more honest than surveys.
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