AI-Powered Forecasting

Predict Your Business Future with Unprecedented Accuracy

ELNO transforms your historical data into actionable insights. Leverage advanced machine learning to forecast sales, predict churn, optimize inventory, and make confident decisions about your business future.

94.7%
Average Forecast Accuracy
$2.4M
Avg. Revenue Impact
30%
Churn Reduction
45 Days
Avg. Time to Value
Sales Forecast Dashboard
$0 $2M $4M $6M $8M Jan Mar May Jul Sep
Predicted Q3 Revenue
$6.8M
94% confidence ↑ 23%
Confidence Range
$6.2M - $7.4M
Key Drivers
Marketing Spend ↑ Seasonal Trend ↑ Pipeline Quality ↑

Trusted by forward-thinking businesses to forecast with confidence

500K+ Forecasts Generated
$10B+ Revenue Forecasted
89% Accuracy Rate

Like the perfect partner, but in your browser.

ELNO brings enterprise-grade forecasting capabilities to your team without the complexity. Our intelligent platform adapts to your business, learning from your data to deliver increasingly accurate predictions over time.

Multi-Metric Forecasting

Predict sales revenue, customer churn, demand patterns, lifetime value, lead conversion, employee turnover, and cash flow—all from a single platform.

Real-Time Predictions

Get instant forecasts as new data flows in. Our models continuously learn and adapt, ensuring your predictions stay accurate as conditions change.

Automatic Model Selection

Our AI intelligently chooses the best modeling technique for your data—regression, decision trees, neural networks, or ensemble methods—no data science degree required.

Confidence Intervals

Every prediction comes with confidence ranges and accuracy scores, so you understand the certainty of your forecasts and can plan for multiple scenarios.

What-If Scenario Planning

Model different futures by adjusting variables. See how changes in marketing spend, pricing, or operations impact your key metrics before making decisions.

Explainable AI

Understand the 'why' behind every forecast. ELNO shows which factors drive predictions, enabling you to identify actionable levers for improvement.

Use the forecasting you already love.

ELNO works seamlessly with your existing tools and workflows, enhancing your capabilities without disrupting operations.

Traditional Forecasting

  • Manual spreadsheet calculations
  • Static models that become outdated
  • Single-point estimates without confidence ranges
  • Limited to simple linear trends
  • No automated factor analysis
  • Requires data science expertise
  • Time-consuming manual updates
  • Difficult to incorporate external factors
  • No scenario comparison capabilities
  • Limited visualization options

ELNO Platform

  • Automated ML-powered predictions
  • Self-learning models that improve over time
  • Confidence intervals and accuracy metrics
  • Handles complex non-linear patterns
  • Automatic feature importance analysis
  • No-code interface for all users
  • Real-time automatic retraining
  • Integrates economic indicators and market data
  • Interactive what-if scenario modeling
  • Rich interactive dashboards and reports

Forecast Everything That Matters

From revenue to retention, ELNO predicts the metrics that drive your business forward.

Revenue Intelligence

Sales Revenue Forecasting

Predict future revenue with unprecedented accuracy by analyzing historical sales patterns, seasonal trends, economic indicators, marketing spend effectiveness, sales team capacity, pipeline metrics, and deal stage progression. ELNO's revenue forecasting engine considers hundreds of variables simultaneously to generate reliable predictions with confidence intervals.

Multi-horizon Forecasting: Generate predictions for daily, weekly, monthly, quarterly, and annual timeframes
Seasonal Adjustment: Automatically detects and accounts for cyclical patterns and seasonal variations
Pipeline Weighting: Incorporates deal probability, stage conversion rates, and historical close patterns
External Factor Integration: Includes market conditions, competitor activity, and macroeconomic indicators
Territory and Segment Breakdown: Forecast by region, product line, customer segment, or sales team
92-96%
Forecast Accuracy
15%
Planning Efficiency Gain
3 Weeks
Faster Close Process
12-Month Revenue Forecast Updated 2 min ago
$0 $5M $10M $15M $20M Q1 Q2 Q3 Q4
Historical Revenue
Predicted Revenue
90% Confidence Range
Customer Retention

Customer Churn Prediction

Identify at-risk customers before they leave by analyzing behavioral signals, engagement patterns, support interactions, payment history, feature adoption, and contract timing. ELNO's churn prediction engine calculates individual customer risk scores and provides actionable intervention recommendations to improve retention.

Early Warning System: Detect churn risk 60-90 days before actual cancellation occurs
Behavioral Analysis: Tracks login frequency, feature usage, engagement scores, and activity trends
Sentiment Monitoring: Analyzes support ticket language, NPS scores, and customer feedback sentiment
Intervention Recommendations: Suggests specific actions to re-engage at-risk customers
Cohort Analysis: Identifies which customer segments have highest churn risk
73%
Churn Prediction Accuracy
28%
Reduction in Churn Rate
$840K
Avg. Revenue Saved
Customer Risk Analysis 124 At Risk
High Risk 42 customers
85% probability
$892K ARR
Medium Risk 82 customers
55% probability
$1.2M ARR
Low Risk 287 customers
15% probability
$4.8M ARR
Top Churn Indicators
Declining Usage
92%
Support Tickets
78%
Payment Issues
65%
Low NPS Score
58%
Operations Intelligence

Demand Forecasting & Inventory Optimization

Predict product demand and optimize inventory levels by analyzing historical sales data, seasonal patterns, promotional impacts, market trends, supply chain constraints, and external factors. Reduce stockouts and overstock situations while improving cash flow and customer satisfaction through intelligent demand prediction.

SKU-Level Forecasting: Generate demand predictions for individual products and product variants
Promotional Impact Analysis: Account for marketing campaigns, sales events, and seasonal promotions
Multi-Location Planning: Forecast demand across warehouses, stores, and distribution centers
Reorder Point Optimization: Automatically calculate optimal reorder quantities and timing
New Product Launch Prediction: Forecast demand for products with limited historical data
42%
Reduction in Stockouts
31%
Lower Carrying Costs
89%
Demand Prediction Accuracy
30-Day Demand Forecast 342 SKUs
Historical Forecasted
Peak Demand Day: Day 24 (4,820 units)
Reorder Recommended: 3,200 units by Day 18
Confidence Level: 87% (±340 units)

Customer Lifetime Value

Predict the total revenue each customer will generate over their relationship with your business. Optimize acquisition spend, identify high-value segments, and personalize engagement strategies based on predicted CLV.

  • Segment-specific CLV predictions
  • Acquisition cost optimization
  • Cross-sell/upsell opportunity identification
  • Customer value trending analysis

Lead Conversion Scoring

Rank leads by conversion probability using behavioral signals, demographic data, engagement patterns, and firmographic information. Help sales teams prioritize high-value opportunities and improve close rates.

  • Real-time lead scoring updates
  • Conversion probability percentages
  • Optimal contact timing recommendations
  • Lead source effectiveness analysis

Employee Turnover Prediction

Identify employees at risk of leaving before they resign. Analyze performance reviews, engagement surveys, compensation data, tenure patterns, and career progression to enable proactive retention efforts.

  • Individual flight risk scores
  • Department-level turnover forecasts
  • Retention strategy recommendations
  • Cost impact of predicted turnover

Cash Flow Forecasting

Predict future cash positions by analyzing accounts receivable, accounts payable, revenue timing, expense patterns, and seasonal variations. Ensure adequate liquidity and optimize working capital management.

  • Daily/weekly/monthly cash predictions
  • Accounts receivable timing forecasts
  • Expense pattern recognition
  • Liquidity risk alerts

See ELNO's Magic

Advanced AI capabilities that transform raw data into actionable business intelligence.

01

Intelligent Data Ingestion

ELNO seamlessly connects to your existing data sources—CRM systems, ERP platforms, financial software, marketing automation tools, support ticket systems, and web analytics. Our intelligent connectors automatically map fields, handle data format variations, and ensure consistent data quality through validation and cleansing routines.

Data Sources Supported:

Salesforce, HubSpot, Pipedrive
SAP, Oracle, NetSuite
QuickBooks, Xero
Google Analytics, Mixpanel
Zendesk, Intercom
Custom databases via API
Automatic Schema Detection: ELNO identifies data structures and relationships without manual configuration
Real-Time Sync: Data updates propagate instantly, ensuring predictions always use the latest information
Historical Data Import: Bulk import years of historical data to establish baseline patterns
Data Quality Monitoring: Automatic detection of anomalies, missing values, and data quality issues
ELNO
CRM
ERP
Financial
Marketing
Support
Analytics
02

Automated Feature Engineering

ELNO automatically creates hundreds of derived variables from your raw data to improve prediction accuracy. Our feature engineering engine identifies temporal patterns, calculates rolling averages, detects interactions between variables, and creates lagged features—all without requiring data science expertise.

Automatically Generated Features:

Temporal Features
Day of week effects Month-over-month changes Year-over-year growth Seasonal indicators Holiday impacts
Rolling Statistics
7-day moving averages 30-day trend lines Standard deviation windows Exponential smoothing
Interaction Terms
Price × Demand correlations Marketing × Sales relationships Usage × Satisfaction scores
Lagged Variables
Previous period values Multi-step lag features Lead-lag relationships
Raw Data
12 columns
Engineering
AI Processing
Enriched Data
247 features
Accuracy Improvement: +23%
03

Intelligent Model Selection

Not all forecasting problems are the same. ELNO automatically evaluates dozens of modeling approaches—from linear regression and ARIMA for simple trends, to gradient boosting and neural networks for complex non-linear patterns—selecting the optimal technique based on your data characteristics, forecast horizon, and accuracy requirements.

Available Modeling Techniques:

Linear Models
  • Linear Regression
  • Ridge & Lasso
  • ARIMA/SARIMA
Tree-Based Models
  • Decision Trees
  • Random Forests
  • Gradient Boosting (XGBoost)
Neural Networks
  • Deep Neural Networks
  • LSTM (Time Series)
  • Transformer Models
Ensemble Methods
  • Stacking
  • Voting Classifiers
  • Blended Predictions
Model
Accuracy
Speed
Status
Linear Regression
82.3%
< 1s
Tested
Random Forest
89.7%
3.2s
Tested
XGBoost
94.2%
4.8s
Selected ✓
Neural Network
91.5%
12.3s
Tested
Selection Reason: XGBoost provides optimal balance of accuracy (94.2%) and performance (4.8s), with strong handling of non-linear patterns in your data.
04

Explainable Predictions

ELNO doesn't just tell you what will happen—it explains why. Our explainable AI engine uses SHAP values and feature importance analysis to show which factors are driving each prediction. Understand the contribution of every variable, identify the most impactful levers, and make informed decisions based on transparent, interpretable insights.

Explanation Capabilities:

Feature Importance Rankings: See which variables have the most influence on predictions
Contribution Analysis: Understand how much each factor adds to or subtracts from predictions
Dependency Plots: Visualize how changes in key variables affect predicted outcomes
Interaction Effects: Discover how combinations of factors create synergistic impacts
Feature Contribution to Sales Forecast
$4.2M
Baseline
+$1.2M
Marketing Spend
+$0.9M
Seasonal Trend
+$0.6M
Pipeline Growth
-$0.4M
Market Headwinds
$6.5M
Forecast Total
05

Scenario Planning & What-If Analysis

Test different strategies before committing resources. ELNO's scenario planning engine lets you model alternative futures by adjusting key variables and instantly seeing the predicted impact on your metrics. Compare multiple scenarios side-by-side, understand trade-offs, and make data-driven decisions with confidence.

Scenario Types You Can Model:

💰
Budget Changes
"What if we increase marketing budget by 30%?"
💵
Pricing Adjustments
"How will a 10% price increase affect demand?"
👥
Staffing Scenarios
"Impact of adding 5 sales reps vs. 10?"
📦
Product Mix
"Revenue impact of shifting to premium products?"
🌍
Market Expansion
"Expected returns from entering new region?"
Process Improvements
"How will faster onboarding reduce churn?"
Scenario Comparison: Marketing Investment
Current Plan
Marketing Spend $500K
Predicted Revenue $6.2M
ROI 12.4x
New Customers 248
+30% Investment
Marketing Spend $650K +30%
Predicted Revenue $7.8M +26%
ROI 12.0x -3%
New Customers 312 +26%
+60% Investment
Marketing Spend $800K +60%
Predicted Revenue $8.9M +44%
ROI 11.1x -10%
New Customers 356 +44%
Recommendation: +30% investment scenario provides optimal balance of revenue growth (+$1.6M) and ROI efficiency (12.0x), with manageable diminishing returns.
06

Continuous Model Retraining

Your business doesn't stand still—neither should your forecasts. ELNO automatically retrains models as new data arrives, ensuring predictions stay accurate as market conditions, customer behavior, and business dynamics evolve. Our continuous learning system detects when model performance degrades and proactively updates models to maintain forecast quality.

How Automatic Retraining Works:

1
Performance Monitoring

ELNO continuously compares predictions against actual results, tracking accuracy metrics in real-time

2
Drift Detection

Statistical tests identify when data patterns change significantly from the original training data

3
Automatic Retraining

Models are retrained on the latest data when performance drops below threshold or drift is detected

4
A/B Testing

New models are validated against current models before deployment to ensure improvement

5
Seamless Deployment

Improved models are automatically deployed without service interruption

Adaptive to Change: Models adjust to evolving market conditions, seasonal shifts, and business transformations
No Manual Intervention: Retraining happens automatically on a schedule or when triggered by performance degradation
Version Control: All model versions are tracked with performance metrics for audit and rollback
Model Performance Over Time
85% threshold Retrained 95% 90% 85% 80% Week 1 Week 8 Week 16 Week 24
Model accuracy degrading
After automatic retraining

Integrates With Your Entire Tech Stack

ELNO connects seamlessly with the tools you already use, bringing forecasting capabilities into your existing workflows.

CRM & Sales

Salesforce
HubSpot
Pipedrive
Microsoft Dynamics

Finance & ERP

QuickBooks
Xero
NetSuite
SAP

Marketing & Analytics

Google Analytics
Mixpanel
Segment
Adobe Analytics

Support & Success

Zendesk
Intercom
Freshdesk
Gainsight

Data & BI

Power BI
Tableau
Looker
BigQuery

APIs & Custom

REST API
GraphQL
Webhooks
CSV Import

Don't see your tool?

We can build custom connectors for your specific data sources. Our flexible API architecture supports virtually any integration.

Request Custom Integration

Start Forecasting Smarter Today

See how ELNO can transform your business with accurate, AI-powered forecasting. Get a personalized demo and discover the insights hidden in your data.

Free 30-day trial with full access
Personalized onboarding and training
Dedicated customer success manager
No credit card required