AI sales forecasting software  that flags deal risk early

Accuracy depends less on the model than on the data under it. A forecast built on CRM fields alone is only as good as the last update. Backstory Forecasting is built on every email and meeting, captured automatically and matched to the right Salesforce opportunity. Forecast Headlines rank the biggest risks to the number by the deal value they affect. Pipeline Changes show why the pipeline moved, split into slipped, lost, new, won and amount changes. Managers apply their judgment and submit.

Most teams are live in 2 to 4 weeks, and two years of deal history are analyzed on day one. Before users see a forecast, a Backstory administrator sets up a Forecast Hierarchy, which decides who sees what, and a Forecast Type, which decides which opportunities and metrics each view includes. Forecasting runs on Salesforce.

Backstory reads every email and meeting matched to the deal and flags what puts it at risk. Each opportunity has a summary with key topics, next steps and potential risks. The risks are activity-based warning signs such as gaps in communication, missing stakeholders and stalled threads, color-coded by recency, and you can click through to the emails and meetings behind each one. For a team view, Forecast Headlines group the risks in your forecast into the top three themes, ranked by deal value affected. Managers and executives can open each theme to see the deals and next steps. Metrics such as days in stage and executives with high engagement add more signals.

Legacy forecasting tools predict risk based on CRM data - which is whatever reps remembered to log. Backstory surfaces risk based on what's actually happening: engagement dropping, a champion going dark, a competitor showing up in conversation. The difference is the data underneath the signal.

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Backstory captures every email, meeting, call, and chat automatically and matches it to the right opportunity. Risk surfaces when:

• Engagement drops or a key stakeholder goes dark
• A deal is single-threaded with no executive involvement
• A competitor shows up in conversation
• The economic buyer has low buying power or low win rates
• Activity patterns diverge from deals that historically close in your business

You see the problem while there's still time to fix it - not after the deal dies.

• Which deals are at risk of slipping?
• Which deals have stalled and why?
• What changed in this deal since last week?
• Is my commit defensible?
• Which commits are backed by actual activity?

Backstory changes them. Instead of spending the first 40 minutes of a forecast call figuring out what happened, you walk in knowing which deals moved, why the number changed, and what needs attention. The meeting becomes a decision about what to do, not a discovery exercise.

Backstory captures activity directly from email, calendar, calls, and chat - not from what reps entered in the CRM. The risk flags reflect what's actually happening in deals, not what someone remembered to log.

Yes. Backstory surfaces your top risk categories ranked by revenue impact - engagement gaps, missing stakeholders, stalled progression - so you see where to focus across the full pipeline in one view, not deal by deal.

That's exactly what Backstory is built to catch. When rep-reported status and actual engagement data diverge, Backstory surfaces it. A deal marked commit with no buyer engagement in 21 days shows up as a problem before it becomes a surprise.

Yes. Backstory captures activity across your full revenue motion - including partner and co-sell engagements - and matches it to the right accounts and opportunities. You can see how partners are influencing deals: which contacts they're engaged with, where they're adding momentum, and where gaps exist. You get the complete picture of every deal, not just what your direct team touched.