요리의 즐거움과 과정의 간편함을 동시에 원하는 소비자를 위한 밀키트 및 소포장 식재료 상품 개발 가이드를 제공합니다.
#HMR이용보편화
1인 가구 70.0%가 간편식을 활용하며 식생활의 효율성을 추구하고 있음.
#소포장제품수요
오프라인 낱개 구매 비중(66.5%)이 높아 소용량 규격 개발이 필수적인 상황임.
#밀키트성장기회
직접 요리 비중 57.3%를 공략하기 위해 과정의 편의를 돕는 상품군이 유망함.
#여성타겟HMR
직접 요리 선호도가 높은 여성(65.7%)을 겨냥한 고품질 간편식 기획이 주효함.
100% 'real' data-based
Opensurvey uses only 'real consumer response data' directly asked from a nationwide panel of 630,000 people.
'No Hallucination' architecture
The AI is designed to prevent the 'creation' of data and to analyze and summarize only within 'verified original data'.
Verified Trust
Based on the industry's number one consumer data trusted by over 1,000 companies.
FAQ
What is different about this insight compared to ChatGPT?
General-purpose AIs like ChatGPT learn from the vast array of unspecified information on the internet to create 'plausible' answers, but often generate false information known as 'hallucinations'. OpenSurvey AI is different. We limit our analysis to only the 'original data of real consumer responses' that we have collected directly. Therefore, AI cannot 'make up' responses, and it provides insights based solely on 100% data-driven 'facts'.
How reliable is this data?
The data used in this insight is based on responses collected from a verified panel of 630,000 people nationwide by Opensurvey. Opensurvey secures original data with a reliability level of 95% through industry-leading panel management and data verification systems. More than 1,000 companies, including Samsung, Hyundai, and LG, utilize Opensurvey data for important decision-making.
Can I use the generated insights directly in the business?
Yes, it is immediately available for use. It is designed to be used as supporting materials for practical decision-making, such as establishing new campaign strategies, deriving UX improvements by PMs, and market analysis by the strategic planning team. The generated insights are based on actual consumer data, so you can use them as reliable evidence in meeting materials, proposals, and strategic documents.
