Hey @CDiVincenzo,
I’ve been tinkering with Forecasting AI, and I totally get where you’re coming from. It’s a nifty tool, but it can be hit or miss depending on your data and how consistent your sales process is.
Here’s what I’ve found:
- Clean, Historical Data: Forecasting AI works best with lots of clean, historical data. If your past submissions are more accurate, it could be that your team just has a great gut feel that the AI hasn’t caught up with yet.
- Use as a Second Opinion: Treat Forecasting AI as a second opinion rather than the ultimate truth. Compare its forecasts with your manual ones over time. You might see the AI get better as it learns your patterns.
- Data Quality: Make sure your data is clean and consistent. Any junk data can throw off the AI.
- Patience: Give it some time. AI models need to learn, and they get better with more data and time.
Hope this helps! Would love to hear more about your experience with it.