Author ORCID Identifier
Olga Biedova: https://orcid.org/0000-0003-2720-2246
Iris Junglas: https://orcid.org/0000-0002-2914-3879
Eric Villafranca: https://orcid.org/0000-0003-4613-7224
Blake Ives: https://orcid.org/0000-0002-1296-6801
Abstract
CVPCorp, a provider of container visibility and life-cycle management services, had always relied heavily on information technology and access to near real-time data from worldwide supply chain sources, such as ports and shipping companies, to drive its business. In 2023, they began experimenting with Generative AI (GenAI) and Large Language Models (LLM). The case first describes CVPCorp’s business and products. It then explores how the company embarked on a bottom-up approach for weaving AI quickly into the fabric of its products, operations, and management while leaving us to question how these technologies, as they evolve, will continue to transform CVPCorp and the customers it serves. The case ends with a need to respond to a challenge from an investor—to look at AI from a top-down and strategic perspective.
DOI
10.17705/1CAIS.05717
Recommended Citation
Biedova, O., Junglas, I., Villafranca, E., & Ives, B. (2025). Innovating With Generative AI at CVPCorp. Communications of the Association for Information Systems, 57, 445-457. https://doi.org/10.17705/1CAIS.05717
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