Community Blog Using Cloud Computing to Provide an Omnichannel Shopping Experience

Using Cloud Computing to Provide an Omnichannel Shopping Experience

This article discusses how to provide an omnichannel shopping experience across multiple screens and devices with Cloud Computing.

How to Connect the Consumer Experience with Cloud Computing?

Retailers need to provide an omnichannel shopping experience where consumers can research, buy and interact with goods across the boundaries of the physical and online worlds. It's a vital service in today's highly competitive world of commerce with those businesses that adopt omnichannel strategies achieving 91 percent greater customer retention rates year-on-year compared to those that don't.

But connecting your consumer experience is a complex undertaking as customers can switch touchpoints multiple times and for single transactions. For example, a consumer may see a product on a social media channel and then go to your physical store to make the purchase. Alternatively, they may see a product in store, but it isn't available in their size or style. So, they go online to make the purchase. A consistent experience offering relevant content needs to be readily available for every customer.

Our Content Management System (CMS) enables these cross-channel experiences, empowering retailers to manage content across different channels. Depending on the number of users and amount of content, our CMS backend system can be deployed on a single or multiple ECS instance and our ApsaraDB for POLARDB is used as the default backend database.

Thanks to both these technologies, a superior user experience is provided. Not only does CMS provide multi-channel bandwidth, but ApsaraDB for POLARDB can also auto-scale to up to millions of queries per second and is six times fasters than a standard MySQL database.

What's more, if a retailer needs to distribute its content around the world, our Content Delivery Network (CDN) supports a millisecond response time and 120Tbps of bandwidth to reduce latency across your network, no matter where your customers are. Coupled with our China Gateway solution, there's no corner of the globe you can't reach potential buyers by providing an omnichannel shopping experience with Alibaba Cloud.

Creating an omnichannel shopping experience can seem like a daunting prospect for traditional retailers because their business models are not well adapted to this way of working. This is where Alibaba Cloud can help.

If you would like to find out more about connecting your consumer experience, you can talk to our experts for a custom consultation.

To explore how digital transformation is affecting the retail industry, download the whitepaper Smart Shopping: Digital Transformation Strategies for Retail

Alibaba Cloud Named Leader in Gartner's 2020 Magic Quadrant for Cloud Database Management Systems (DBMS)

Hangzhou, China, November 30, 2020 – Alibaba Cloud, the digital intelligence and technology backbone of Alibaba Group, has been named a leader in Gartner's 2020 Magic Quadrant for Cloud Database Management Systems. The evaluation criteria in Gartner's report include factors such as market responsiveness and track record, customer experience, market understanding, market strategy, business model and innovation.

According to Gartner, "Leaders demonstrate the most support for a broad range of DBMS use cases, based on support for a wide range of data types and diversity of development models (such as multicloud, intercloud and hybrid). These vendors demonstrate consistent customer satisfaction and strong customer support…generally represent the lowest risk for customers in the areas for performance, scalability, reliability and support."

Proven capability in supporting the world's largest shopping festival

Alibaba Cloud's database system is pivotal in supporting Alibaba Group's 11.11 Global Shopping Festival that was just concluded. Cloud native relational databases includes PolarDB, cloud native data warehouse AnalyticDB and cloud native multi-model database Lindorm, have supported 583,000 peak orders per second with zero downtime during the shopping festival, which has generated a RMB498.2 billion (US$74.1 billion) in GMV over an 11-day period.

PolarDB set a new record with 140 million queries per second during peak time at 11.11, a 60% increase from last year. AnalyticDB, Alibaba Cloud's self-developed cloud native data warehouse, processed up to 7.7 trillion lines of real-time data, equaling 15 times the data contained in the UK Web Archive at the British Library. In addition, PolarDB-X (the distributed version of PolarDB) and AnalyticDB helped China Post to deal with more than 100 million orders during 11.11, with about 100,000 China Post users checking their parcels' real-time status online.

Gartner predicts that "By 2020, 75% of all database will be deployed or migrated to a cloud platform ", and Alibaba Cloud has seen the trend growing. The company's DBMS has seen a doubling in demand year-over-year as more businesses are adopting database technologies to combat the long-lasting impacts of COVID-19. It current have more than 100,000 enterprise customers spanning in various industries such as retail, fintech, logistics, manufacturing, gaming and education.

Related Products

ApsaraDB for PolarDB

ApsaraDB for PolarDB is a cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. ApsaraDB for PolarDB provides the performance and availability of traditional enterprise databases and the flexibility and cost-effectiveness of open-source databases.

ApsaraDB for PolarDB is designed for business-critical database applications that require fast performance, high concurrency, and automatic scaling. You can scale up to millions of queries per second and 100 TB per database cluster with 15 low latency read replicas. ApsaraDB for PolarDB is six times faster than standard MySQL databases, and delivers the security, reliability, and availability of traditional commercial databases at 1/10 the cost. ApsaraDB for PolarDB embodies the proven database technology and best practices honed over the last decade that supported hyper-scale events such as the Alibaba Double 11 Global Shopping Festival.

AnalyticDB for MySQL

AnalyticDB for MySQL is a real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol and SQL:2003 syntax and can perform instant multidimensional analysis and business exploration for huge amounts of data.

Related Documentation

Benefits of ApsaraDB for PolarDB

This topic describes the benefits of Apsara PolarDB.

  1. Ease of use
  2. Cost efficiency
  3. High performance
  4. Storage capacity for hundreds of terabytes of data
  5. High availability, reliability, and data security
  6. Rapid elastic scaling to handle workload spikes
  7. Lock-free backup

Benefits of AnalyticDB for MySQL

AnalyticDB for MySQL V3.0 is a new version developed based on the service and application development experience gained from AnalyticDB for MySQL V2.0.

Integrated with the advantages of distributed architecture, elastic computing, and cloud computing, AnalyticDB for MySQL V3.0 improves scalability, usability, reliability, and security to meet the requirements of data warehousing in different scenarios. AnalyticDB for MySQL V3.0 supports concurrent access on a larger scale, faster read and write capabilities, and smarter hybrid query and load management. It refines resource utilization and reduces costs, allowing you to focus more on business development and data value.

Compared with AnalyticDB for MySQL V2.0, AnalyticDB for MySQL V3.0 has the following benefits.

  1. Ease of use
  2. Higher cost effectiveness
  3. Cloud-native architecture
  4. Large-scale database clusters featuring high read and write speeds
  5. Higher availability and reliability
  6. Enhanced security
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