Prologis
Enterprise ChatGPT and custom GPTs for internal workflows
Prologis put 10 generative AI products into production and reached more than 2,000 internal users
Problem
Prologis struggled to move locally developed models into production. Deployment handoffs created delays, and coding requirements limited participation.
Approach
Prologis adopted Dataiku alongside Snowflake to centralize AI development. It used generative AI pipelines to build custom GPTs in its Enterprise ChatGPT platform. Dataiku reported 10 generative AI products in production and more than 2,000 platform users.
Results
Takeaway
Prologis reported production use and employee reach. It did not disclose task-level time savings for the custom GPTs.
Categories
- Industry
- Real estate
- Business function
- Internal work and knowledge managementIT and R&D
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Dataiku described Prologis' centralized model development and internal generative AI platform. It reported 10 production generative AI products and more than 2,000 Enterprise ChatGPT users.
Full details are in the original sources.