Crisp Halo brings retail AI into enterprise cloud environments
Crisp’s new Halo platform can run retail data and agentic analytics tools inside customer environments on Databricks, Snowflake or Google Cloud.

AT A GLANCE
Key points
- Halo can run in customer environments on Databricks, Snowflake and Google Cloud.
- Agentic tools analyze sales, inventory and supply-chain data with retail-specific logic.
- Recommendations link back to source data and the logic chain used.
What is changing?
Crisp has announced Halo, a new retail AI platform for consumer-goods brands, retailers, distributors and brokers. It combines sales, revenue, inventory and supply-chain data with retail-specific business logic, allowing teams to ask questions in natural language, generate recurring reports and automate workflows.
Halo is available as a Crisp-hosted service or inside a customer’s own infrastructure on Databricks, Snowflake or Google Cloud. Crisp says the latter option lets organizations with data-residency, security and governance requirements analyze information without moving it into another externally hosted application.
Recommendations are tied to source records and the retail logic used to produce them. Central Desk gives headquarters teams a portfolio view, while Customer Desk provides retailer-specific metrics and calendars. These are provider claims; no independent comparison of forecasting accuracy or financial returns has been published.
Explore the original sources
Source date: 29 October 2026.
Published by AI Radar: 30 Oct 2026, 20:04 (Istanbul, UTC+3).
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