AI parsed potato-based dishes from food and social apps — methods, ingredients, seasonings — feeding the internal flavor-innovation pipeline directly.
Big-Data Product Insight
Slow information gathering, lagging trend analysis, unreliable ideation, unvalidated concepts — this solution wires all four into one automated line: big data captures trends, AI drafts concepts, consumers validate.
Four classic pains: information gathering is slow and leaky; trend analysis lags the market; ideation output is inconsistent; concepts ship without consumer validation.
How the chain runs
- 01
TrendAI collection: 22+ platforms at home and abroad, four capture modes (accounts, keywords, links, uploads), on a schedule.
- 02
AI cleaning (dedupe, de-ad, de-noise) plus high-dimensional parsing — OCR, element recognition, short-video understanding — turns raw content into structured data.
- 03
LLMs grounded in category knowledge deliver scheduled reports: industry trends, e-commerce hits, emerging channels, flavor innovation, overseas signals.
- 04
AIdea concept master: 10 professional product concepts generated in one minute, sharpened through consumer co-creation.
- 05
A closed testing loop: consumers evaluate concepts via public or private panels, with AI analysis and live dashboards ranking every option.
Scheduled trend reports across industry, e-commerce and overseas signals, plus new-product concepts validated through consumer co-creation and testing.