Sales Forecasting Software That Delivers Predictable Revenue

Revenue Grid is a Salesforce-native sales forecasting platform that uses AI, historical data, and live pipeline activity to predict revenue accurately, identify risk early, and replace manual forecasting with data-driven insights.

Trusted by Revenue Leaders at

Why Use
Sales Forecasting Software

 

True Pipeline Visibility

See the real state of every deal and forecasted pipeline in real time—based on live activity, not outdated stage data.

AI-Driven Forecast Accuracy

Use AI to analyze historical deal patterns and current signals to predict what will actually close, not what reps hope will.

Early Revenue Risk Detection

Identify slipping deals, weak commitments, and forecast gaps early—so managers can intervene before revenue is lost.

Salesforce-Native Forecasting

Forecast directly inside Salesforce with no syncing, no spreadsheets, and no disruption to existing workflows.

Forecast Change Tracking

Understand exactly what changed since the last forecast call – across Commit, Best Case, Pipeline, and Booked revenue.

Actionable Forecast Insights

Turn forecast changes into clear next steps with AI Revenue Signals that guide reps and managers on what to fix now.

Why Choose Revenue Grid for
Sales Forecasting Software

Revenue Grid delivers accurate, behavior-based sales forecasts by connecting real pipeline activity, historical deal performance, and AI-driven revenue signals – directly inside Salesforce. It adapts to how your teams already forecast, so accuracy improves without changing workflows.

  •  Forecasts based on real deal behavior, not rep-submitted numbers or static CRM stages
  • Built natively on Salesforce, so forecasts live where deals are worked—not in spreadsheets or parallel tools
  • AI connects historical win patterns with live pipeline signals to reflect true close probability
  • Automatically incorporates 100% of sales activity—emails, meetings, and calls—into forecast logic
  • Revenue Signals explain what changed, why it changed, and what action is needed to protect the number
  • Designed for complex pipelines and long sales cycles, without sacrificing speed or accuracy
  • Backed by 20+ years of sales execution expertise and trusted by 800,000+ users globally
  •  AI trained specifically on sales behaviors and execution patterns, not generic data models

Hear it Straight From
Our Customers

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Revenue Grid allows us to work much more efficiently by capturing all our Outlook contacts, correspondence, and meetings and updating Salesforce automatically.
Andrew M.
Partnership Manager
Seamless integration with our CRM eliminated our data and pipeline management challenges. Revenue Grid lets our teams focus on building relationships with clients and closing deals.
Shiomi S.
Enterprise Accounts Manager
Remote work made it incredibly hard to help my team execute. With Revenue Signals, I can provide “hold-me-by-the-hand” guidance without being physically present or micromanaging my reps.
Gustavo B.
Senior Director Sales & Strategic Operations

How Revenue Grid Works as Sales Forecasting Software

Revenue Grid anchors forecasts to actual deal execution - linking opportunity movement with real sales behavior happening inside Salesforce.

Model Revenue Using Proven Close Patterns

AI evaluates how similar deals have closed in the past to continuously model realistic revenue expectations across teams and segments.
As deals stall, slip, or accelerate, Revenue Grid recalculates forecast impact immediately - highlighting where numbers are quietly drifting off target.
Revenue Signals surface the specific actions needed to stabilize or recover forecasted revenue - so teams can act while there’s still time to change the result.

Sales Forecasting Software
by Team

Frontline Sales Representatives
Forecast with confidence using AI-backed deal insights. Understand how buyer behavior, activity gaps, and risk signals impact your commit - before it’s too late.
Sales Managers / Team Leads
Gain real-time visibility into forecast changes, risk trends, and rep-level accuracy. Coach teams using behavior-based signals instead of gut feel and avoid end-of-quarter surprises.
Sales Leadership / Executives
Make strategic revenue decisions using accurate, explainable forecasts. Track coverage, risk exposure, and commit reliability across teams in a single unified view.
Revenue Operations & Finance Teams
Standardize forecasting processes, maintain clean rollups, and align pipeline behavior with revenue targets. Ensure forecast consistency across CRM, planning, and reporting systems.

Testimonials

A CONVERSATION WITH
Darren Knapp
Director, Global Operations at Emerald Scientific
A CONVERSATION WITH
Brian Walsh
Senior Platform Analyst

Frequently Asked Questions

Sales forecasting software predicts future revenue by analyzing historical sales data, pipeline activity, deal behavior, and market trends. It helps sales teams estimate expected revenue, identify risk early, and plan inventory, staffing, and growth strategies more accurately.
Sales forecasting tools use a combination of historical performance, real-time pipeline data, and predictive algorithms to generate forecasts. Advanced platforms apply AI and machine learning to analyze deal progression, buyer engagement, and rep behavior to continuously update forecast accuracy.
Sales forecasting software generally falls into four categories: CRM-integrated forecasting tools that use pipeline data inside CRMs like Salesforce or HubSpot, AI-driven forecasting platforms that analyze activities, conversations, and deal signals in real time, Connected planning platforms that align sales forecasts with finance and operations, Demand and capacity planning tools focused on inventory-driven or supply-based forecasting
CRM-based forecasting works well for basic pipeline visibility and smaller teams, but accuracy depends heavily on manual updates and rep discipline. AI-driven forecasting platforms improve accuracy by detecting risk signals automatically and reducing reliance on subjective inputs.
AI enhances sales forecasting by identifying patterns humans miss - such as deal stagnation, changes in buyer engagement, or historical close-rate deviations. It continuously recalibrates forecasts using real-time data from calls, emails, CRM activity, and past outcomes.
Sales forecasting software supports multiple teams: Sales reps forecast deals more confidently, Sales managers identify risk and coach proactively, Executives make strategic revenue decisions, Revenue operations and finance teams ensure consistent, reliable forecasts across systems
Yes. Most modern sales forecasting platforms integrate directly with CRMs like Salesforce, HubSpot, and Pipedrive. These integrations ensure forecast data stays aligned with pipeline changes, deal updates, and sales activity without duplicate manual work.
Accurate forecasts help businesses plan hiring, inventory, marketing spend, and territory expansion. Many platforms also support scenario planning, allowing teams to model best-case, worst-case, and most-likely revenue outcomes.
When evaluating sales forecasting software, businesses should consider: Compatibility with their existing CRM, Forecast accuracy and explainability, AI-driven insights versus manual simplicity, Reporting, rollups, and leadership visibility, Scalability as sales teams grow
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