Real-time data fusion solution for the retail industry

Connects online and offline channels to enable multi-dimensional retail data sharing and centralized data management, enhancing the customer purchasing experience and enabling smart retail.

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Industry Status

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.

Industry Status
Facing challenges
Influence management decisions

The decision-making level is unable to obtain the desired data in a timely manner to assist in decision-making analysis.

Influence business decisions

When the business department needs data, it should notify the IT department. However, the response time is quite long.

Massive data response is slow

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.

Facing challenges
Solutions
Realize the sharing of retail data

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.

Build a retail data hub

Carry out centralized operation of data, build a data center, and achieve automated data asset management and computing management.

Realize smart retailing

Based on digitalization, create a brand-new shopping method that is powered by artificial intelligence, the Internet of Things, AR/VR.

Solutions
Scheme Value
Enterprise Cases
Make decisions and drive business innovation based on data!
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