Home/Sales Challenges/Poor Sales Forecasting
Pain Point

Our Sales Forecast Is Always Wrong — How Do We Improve Accuracy?

Every month you submit a forecast. Every month it's wrong. Deals that seemed certain don't close. Deals that weren't on the radar appear from nowhere. Poor forecasting causes planning chaos, stockout risk, and erodes management trust in the sales team.

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The Solution

HELM's AI forecasting analyses deal health, historical patterns, and activity data to produce probability-weighted predictions that are materially more accurate than stage-based multiplier forecasts.

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Frequently Asked Questions

Traditional sales forecasting multiplies deal value by stage probability — which ignores deal-specific factors like activity recency, stakeholder engagement, competitive situation, and rep-specific win rates. HELM's AI incorporates all of these factors for a more accurate result.
HELM analyses every deal's characteristics — stage, age, activity level, stakeholder engagement, rep's historical win rate at this stage, competitive context — and assigns a probability score that reflects actual close likelihood rather than a generic stage percentage.
Customers typically see forecast accuracy improve significantly compared to stage-based forecasting. Accuracy varies by business type, but the improvement comes from removing optimistic bias and incorporating deal-specific risk factors automatically.
Yes — HELM's forecasting has two layers: the AI-generated probability-weighted forecast and a manager-adjusted committed forecast. Managers can apply judgement on top of the AI baseline, and HELM tracks the difference between AI and manager calls over time to improve both.

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