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Experience DEMO
The year 2019 marked a critical period for digital transformation in the retail sector. Traditional concepts of “people, goods, and places” were redefined under the wave of big data. Retailers shifted their focus to being consumer-centric and addressing customers’ entire lifecycle needs, relying heavily on vast amounts of data for support and analysis. A major challenge for retail enterprises is breaking down internal and external data silos and leveraging digital assets to find innovative approaches, enabling customers to enjoy seamless shopping experiences that go beyond traditional physical stores.

The decision-making level is unable to obtain the desired data in a timely manner to assist in decision-making analysis.
When the business department needs data, it should notify the IT department. However, the response time is quite long.
There are numerous business systems, and the growth rate of data volume is also accelerating. As a result, the response time for massive data is slow.
Carry out multi-channel integration both online and offline, achieve multi-dimensional data sharing, and build an efficient real-time data sharing and integration platform.
Carry out centralized operation of data, build a data center, and achieve automated data asset management and computing management.
Based on digitalization, create a brand-new shopping method that is powered by artificial intelligence, the Internet of Things, AR/VR.

Comprehensively manage data assets to ensure that the decision-making level can comprehensively grasp the operation status of the enterprise, and conduct timely and rapid analysis and decision-making.

Connect multiple channels of online and offline consumption scenarios. Through the integrated analysis of customer characteristics and preferences data, implement precise marketing and personalized services.

Based on digitalization, it injects the "intelligence" factor into traditional retail scenarios, driving the reconfiguration of "people, goods and stores".