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6 ecommerce trends to watch

IBM Big Data Hub

Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. In what McKinsey refers to as “the e-commerce catch-22,” many retailers with significant growth in ecommerce sales through 2020 and 2021 saw their margins decline.

Retail 80
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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

They can simplify and accelerate workflows throughout the commerce journey, from discovery to the successful completion of a transaction. Early iterations of e-commerce used traditional AI largely to create dynamic marketing campaigns , improve the online shopping experience, or triage customer requests.

B2C 64
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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Top 6 Kubernetes use cases

IBM Big Data Hub

For instance, large retail e-commerce websites consist of many microservices. CI/CD—which stands for continuous integration (CI) and continuous delivery (CD) —has become a key aspect of software development. These typically include an order service, payment service, shipping service and customer service.

Cloud 108