Predictive Analytics Software

See what's coming — revenue, churn, conversions and demand — from models trained on your own history, not market averages.

Forecasts from your own history

Early churn warnings

Leads ranked by likelihood to convert

Drivers shown for every prediction

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AI Intelligence Layer

Overview

Predictive Analytics turns the data already in your platform into forward-looking numbers. The Flow-Cognition Agent learns from your pipeline, billing, support and behavioural history to forecast revenue, predict which customers are about to churn, and score which leads are most likely to convert.

Because the models are grounded in your own records, the predictions reflect how your business actually behaves. Every forecast is explainable and governed — you can see which signals drove it, and the agent can trigger action the moment a prediction crosses a line you care about.

Explore AI Intelligence Layer →

✓ Revenue and pipeline forecasting from your own history
✓ Churn prediction that flags at-risk customers early
✓ Lead scoring ranked by real likelihood to convert
✓ Trend and demand forecasting across products and periods
✓ Explainable predictions that show the driving signals
✓ Trigger actions automatically when a forecast crosses a threshold

Capabilities

Everything Predictive Analytics gives you

Six ways Predictive Analytics turns reactive decisions into proactive strategy.

Revenue Forecasting

Revenue predictions built from deal velocity, win rates and seasonality in your own pipeline, with the drivers behind each number.

✓ Deal velocity
✓ Win rates
✓ Seasonality
✓ Drivers shown

Churn Prediction

Identify at-risk customers early, using behavioural signals, engagement patterns and support history.

✓ Early warning
✓ Behavioural signals
✓ Engagement tracking
✓ Risk scoring

Pipeline Conversion Forecast

Predict how many open leads and deals will convert this period, and when. For per-lead scores, see Scoring & Segmentation.

✓ Period forecast
✓ Conversion timing
✓ Pipeline view
✓ Links to Scoring

Trend Forecasting

Identify emerging trends in customer behaviour, market dynamics and competitive landscapes before they become obvious.

✓ Emerging trends
✓ Market dynamics
✓ Competitive signals
✓ Early detection

Demand Planning

Forecast product demand, service-capacity needs and resource requirements using historical patterns and external signals.

✓ Demand forecasting
✓ Capacity planning
✓ Resource optimization
✓ Seasonal adjustment

What-If Scenarios

Model the effect of pricing or campaign changes on forecast revenue before you commit to them.

✓ Scenario modeling
✓ Impact analysis
✓ Price optimization
✓ Campaign simulation

AI at work

How the agent works with Predictive Analytics

The Flow-Cognition Agent runs a real loop on your Predictive Analytics data — grounded in your records, governed and logged.

Sense

Reads pipeline, billing, usage and support history across the platform.

Decide

Scores, predicts and picks the next best action from your data and rules.

Act

Raises alerts, creates tasks or starts workflows when a forecast or churn score crosses your threshold, with every step logged.

Five-tier model routing · field-level permissions · full audit trail. See the AI layer →

How it works

Live in four steps

Learn from history

Models train on your pipeline, billing, usage and support records.

Generate predictions

Forecasts, churn risk and lead scores are produced and kept current.

Explain the drivers

Each prediction surfaces the signals that shaped it for review.

Act on thresholds

Crossing a line triggers an alert, a task or an automated workflow.

Use cases

Where teams put it to work

Sales leadership

Replace gut-feel commit calls with a revenue forecast built from real deal behaviour, and see which opportunities are propping up or dragging the number.

Customer success

Get a ranked list of accounts most likely to churn this quarter, with the drivers behind each, so retention effort goes where it counts.

Marketing & demand planning

Forecast lead flow and product demand by season so campaigns and stock are planned against what is actually coming.

Why it matters

The payoff

Forecasts you can defend

Numbers come from your own history and show their working, not a black box.

Retention gets a head start

At-risk customers surface early enough to actually save.

Effort where it pays

Ranked scores focus reps and marketers on the highest-probability work.

Plans grounded in data

Demand and revenue planning rest on evidence, not last year plus a guess.

FAQ

Questions, answered

They are trained on your own pipeline, billing, usage and support history in the platform, so forecasts reflect how your business actually behaves rather than industry averages.

Instead of fixed points per action, the model learns which patterns preceded real conversions in your data and ranks leads by their actual probability of closing.

Yes. Each prediction surfaces the signals that drove it, such as falling usage or negative sentiment, so success teams can act on the cause.

Yes. When a forecast or risk score crosses a threshold you set, the Flow-Cognition Agent can raise a task, alert an owner or launch a workflow.

Yes. Models, datasets and their consent basis are registered, predictions are explainable, and access follows the platform's permission and residency rules.