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Innovating With Generative AI at CVPCorp

Olga Biedova et al.

Communications of the Association for Information Systems2025https://doi.org/10.17705/1cais.05717article
AJG 2ABDC A
Weight
0.37

What the paper says

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.

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https://doi.org/https://doi.org/10.17705/1cais.05717

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@article{olga2025,
  title        = {{Innovating With Generative AI at CVPCorp}},
  author       = {Olga Biedova et al.},
  journal      = {Communications of the Association for Information Systems},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.17705/1cais.05717},
}

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Innovating With Generative AI at CVPCorp

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.