In the new retail era, single-channel approaches no longer satisfy customer expectations. Traditional retailers without an online presence and e-commerce businesses lacking physical stores both face significant challenges. However, during the OMO (Online Merge Offline) transformation, companies often struggle with outdated data, delayed updates leading to inaccurate decisions, and data security risks. Moreover, complex system implementation assessments and data integration difficulties impede the adoption of data-driven operating models.
Products & Solutions
New Retail Data & AI Solutions
Data x AI driving retail evolution—optimizing the customer journey and unlocking endless business opportunities
Introduction
In the new retail era, relying solely on online or offline models can’t meet consumer demands. Businesses must integrate both to stay competitive. Data and generative AI are key to enhancing customer experiences. Nextlink Technology delivers intelligent data analytics and AI applications, from personalized recommendations to automated marketing, boosting sales efficiency and conversion rates.
Challenges of the New Retail Era
Driving New Retail Competitiveness with Data Empowerment
Capitalizing on the retail industry’s OMO trend, Nextlink Technology empowers businesses with new retail solutions, unifying data, generative AI, and customer experience to realize authentic customer-centricity.
Integrated Data Analysis in the Cloud
Integrate and utilize internal and external data from various sources, including POS and CRM systems, with visualized dashboards and analytical applications to accelerate key data analysis.
AI Personalized Product Recommendation
Based on customer product preferences, query generative AI to automatically recommend the most suitable products, effectively improving conversion rates.
Out-of-Stock Recommendations for E-commerce
Based on customer preferences and purchase history, automatically recommend similar products when items are out of stock, optimizing the customer journey.
Automated Product Listing Approval
Automation reviews and classifies products on supplier platforms, identifies incorrect information, and ensures consistency between text and images, improving product listing efficiency and accuracy.
Success Stories
Data Middle Platform Management and Analysis
Our integrated data platform centralizes POS, logistics, and CRM data, connecting data and reporting systems to enhance data analysis. Through system inventory, architecture optimization, data migration, and format conversion, we ensure data accuracy and optimal cloud environment setup, ultimately improving internal data analysis efficiency.
Out-of-Stock Product Recommendation System
We empower leading e-commerce platforms in the retail sector by providing personalized recommendations based on product similarity and customer preferences. This effectively optimizes the customer experience and boosts conversion rates, strengthening their market leadership and customer loyalty.
AI-Powered Personalized Product Recommendation
Using generative AI, we developed a sommelier chatbot that provides personalized wine recommendations. By accurately responding to consumer wine preferences using generative AI, it has enhanced wine marketing effectiveness, improved sales conversion rates, and strengthened brand loyalty.
Automated Product Listing Management
We help e-commerce platforms establish automated product management systems that integrate AI solutions and generative AI. This eliminates the time-consuming and error-prone process of manual product uploads, enhancing listing efficiency and accelerating platform business growth.
