AI Solutions for Retail Industry
Retail Scenario Solutions
“Manufacturing has always been the basic source of technological innovation, as well as the driving force of economic growth. “As the State Council of China proposed “Made in China 2025” initiative and issued the Next Generation Artificial Intelligence Development Plan, this marked that artificial intelligence has officially entered the historical stage as a national strategy. Currently, the traditional manufacturing industry is faced with complex and ever-changing business scenarios. Using AI modeling, computer vision and pattern recognition, and other algorithms, we seek to optimize traditional business processes, improve efficiency, and drive forward the transformation and upgrading of the manufacturing industry.
China's banking industry is faced with intensifying competition and declining profits caused by interest rate liberalization. The Internet era also brought about profound upgrading and transformation of the financial industry. Accompanying economic development came with rising labor costs and a surge of new risk from competition for customers and business. Under this backdrop, AI technology can assist organizations in China’s banking sector improve their customer service and enhance their market competitiveness. In the Internet era, insurance companies face heightened customer expectations for personalized and price-differentiated products, higher service demands in claim settlements, and increasing demand for insurance products addressing real-life needs. With AI, China’s insurance companies will be able to improve personalized service and enhance market competitiveness.
Insurance companies can improve their offering of underwriting services and enable smart underwriting for customers by leveraging OCR, NLP and deep learning technology.
Natural language processing technology applied to omni-channel service support in the finance industry can optimize service capabilities and customer experience across multiple service channels.
Loss assessment services can be improved by leveraging image recognition and deep learning technology, enabling quick and smart claim settlements for customers.
Smart recommendation of financial products integrated with real-life scenarios can be realized with deep learning technology applied towards personalized product sorting and portfolio recommendation.
AI technology assists financial companies in assessing customer risks, market demand, competition and customer difference; as well as smart analysis of customer behavior based on online and offline data to determine personalized, flexible and smart prices.
For standard data centers, AI-powered solutions are available for refined and smart operational, maintenance, and energy efficiency management – which includes data collection access, AI algorithm platforms, and feedback evaluation systems. These systems form an integrated set of systems to assist operational staff with the precision management of energy consumption, resulting in improved PUE (Power Usage Effectiveness) and enhanced operational efficiency.