Deep Insight Analytics co, ltd
Update：2026/11/10
Industries
Main Industry
Artificial Intelligence (AI)
Main Product/Service
Build an AI-powered retail data value-added platform to optimize analytical insights, helping you grasp sales trends and make rapid decisions.
The content above was translated by Ai
Founded Year
2017
Unified Business No.
52873292
Status
Closed
Number of Employees
0
Total Paid-in
Capital
12,500,000 (NT$)
Location of Company
Taiwan
, Taipei City
Company names, registration status, legal representatives, founding years, paid-in capital, registered addresses, and other details are sourced from business registration records maintained by Taiwan’s Administration of Commerce, Ministry of Economic Affairs. Exit status includes Emerging Stock Board listings, M&A, and IPOs. Information on overseas expansion is self-reported by startups.
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About the Company
Led by CEO Hao-De Li, Shenyi Analysis was established in July 2017. With a team possessing over twenty years of experience in the retail sector, the company has deep technical capabilities and business insights. Through its expertise in domain knowledge, analytical capabilities, and AI, it aims to lower the barriers and costs of AI adoption for the retail industry, as well as the pain of transitioning to new retail.
By utilizing core client-side data such as POS, ERP, and CRM, along with consumer demographics and behavioral trajectories across online e-commerce and offline physical stores, combined with Shenyi Analysis's core data analysis capabilities, the company builds data application products tailored for the retail industry. Leveraging years of experience in data interpretation and marketing implementation, it provides recommendations for decision-making and execution.
Since its establishment, the company has continuously collaborated with leading retail clients to delve deeply into customer needs and business challenges. Through mutual cooperation, it seeks more practical, implementable solutions to address the pain points of the retail industry, accumulating retail knowledge momentum together with clients, and jointly facing the challenges encountered during the data transformation of the retail industry.
Retailers must maintain a consistent level of personalized experience for consumers across both online and offline channels, implementing various solutions such as online shopping guides and influencer recommendation platforms, while simultaneously integrating multi-party data sources for analysis and decision-making. However, transitioning to online-to-offline integrated solutions means they must confront emerging technical challenges, such as AR, image recognition, data science, and countless other emerging technologies.
Therefore, Shenyi Analysis also plans to collaborate with emerging technology vendors to develop comprehensive new retail solutions, doing its utmost to build a retail industry ecosystem together with clients and emerging vendors, thereby providing retail clients with the most complete professional services.
By utilizing core client-side data such as POS, ERP, and CRM, along with consumer demographics and behavioral trajectories across online e-commerce and offline physical stores, combined with Shenyi Analysis's core data analysis capabilities, the company builds data application products tailored for the retail industry. Leveraging years of experience in data interpretation and marketing implementation, it provides recommendations for decision-making and execution.
Since its establishment, the company has continuously collaborated with leading retail clients to delve deeply into customer needs and business challenges. Through mutual cooperation, it seeks more practical, implementable solutions to address the pain points of the retail industry, accumulating retail knowledge momentum together with clients, and jointly facing the challenges encountered during the data transformation of the retail industry.
Retailers must maintain a consistent level of personalized experience for consumers across both online and offline channels, implementing various solutions such as online shopping guides and influencer recommendation platforms, while simultaneously integrating multi-party data sources for analysis and decision-making. However, transitioning to online-to-offline integrated solutions means they must confront emerging technical challenges, such as AR, image recognition, data science, and countless other emerging technologies.
Therefore, Shenyi Analysis also plans to collaborate with emerging technology vendors to develop comprehensive new retail solutions, doing its utmost to build a retail industry ecosystem together with clients and emerging vendors, thereby providing retail clients with the most complete professional services.
The content above was translated by Ai
