The AI agents automate revenue forecasting and improve pipeline accuracy by validating forecast categories against predefined criteria and ensuring opportunities align with established sales stage entry and exit requirements. This reduces manual review work, identifies inconsistencies, and creates a more reliable and efficient forecasting process. Review collected by and hosted on G2.com.

What do you dislike about Salt?

- Expanded agent capabilities: The agent functionality is still maturing and there is an opportunity to expand automation further. For example, agents that identify contacts from emails and sales calls and automatically create or update CRM contact records would help reduce manual data entry.

- Reporting and customization: Continue maturing the reports currently in beta and expand reporting capabilities, particularly the ability to build custom reports tailored to specific business needs, sales processes, and performance metrics. Review collected by and hosted on G2.com.

What problems is Salt solving and how is that benefiting you?

Salt helps streamline pipeline management and forecasting by checking that deals are in the right stages and forecast categories based on our defined criteria. It reduces manual reviews, catches inconsistencies, and makes it easier to maintain an accurate view of the pipeline and expected revenue. Review collected by and hosted on G2.com.

SP

Shaalin P.

Small-Business (50 or fewer emp.)

10/13/2026

"Easy, Accurate Sales Forecasting—Could Use More Integrations"

5/5

What do you like best about Salt?

I like how easy Salt is to use, and that it’s accurate and cost effective. I use it to update deal data in my CRM and track my chances of hitting my number, and it helps me hit my number every quarter. The initial setup was very easy. Review collected by and hosted on G2.com.

What do you dislike about Salt?

Salt is an early product, and I think it could have more integrations. Review collected by and hosted on G2.com.