It would be useful to have a feature that predicts deal win probability by analyzing historical data, customer interactions, and engagement trends using machine learning models. This could enhance the accuracy of our sales forecasts.
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Thank you for using Salesmate and for sharing this insightful suggestion!
We truly appreciate your input, and a machine-learning-powered deal win probability feature sounds like a fantastic enhancement for improving sales forecasting accuracy. We will share this idea with our product team for evaluation and potential future implementation.
Your feedback plays a key role in shaping our product roadmap, so please keep sharing your thoughts! Let us know if there are any other features that could further enhance your experience.
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We’re excited to let you know that Salesmate now offers an OpenAI-powered feature that can help you analyze deal fields and past activity to update the win probability dynamically. This can greatly enhance your ability to forecast sales by leveraging historical data and customer engagement patterns.
You can even set up automation to trigger specific actions based on the probability score or recent updates on a record.
Here’s a help article with more details on how to get started:
https://support.salesmate.io/hc/en-us/articles/42893116889497-Open-AI
Feel free to reach out if you’d like assistance setting it up!