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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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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.

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CILIP and Nielsen Book announce major new partnership

CILIP

Building on their existing work together, CILIP and Nielsen will collaborate on their common vision of a vibrant, sustainable library, book and e-book ecosystem, promoting readership and diversity for all ages. Jo Shaw, Sales Director, Book Discovery & Commerce Solutions at Nielsen Book said; ?We video, audio and text ?

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State of the Global Capture & IDP Market

Info Source

Data is extracted, validated, and augmented to create the required information for a business process related to an Accounting Workflow, Case Management type applications, to comply with Records Management requirements or to fulfill analytics or discovery needs. The Manufacturing sector recovered strongly in 2021.

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Infosource Global Capture & IDP Vertical Market Analysis 2022-2023 Update

Info Source

For example, organisations in the Legal and Retail sector may see impressive ROIs. These solutions are designed to acquire, classify, validate, and convert business inputs into valuable data for use in business transactions, analytics, records management, discovery, and compliance applications.