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Services/Business Analytics/Forecasting & Trends
Statistical Models • ML Forecasting

Predict Tomorrow,
Plan Today

Statistical revenue forecasting, demand planning, ML predictive models, and scenario analysis — giving your leadership team the foresight to make confident, data-backed planning decisions.

92%Forecast Accuracy Rate
30+Prediction Models Built
3xAvg Planning Confidence

Share Your Requirement

Forecasting Tools We Use

Python
Python
Power BI
Power BI
Tableau
Tableau
BigQuery
BigQuery
Excel
Excel
Google Sheets
Google Sheets
Looker Studio
Looker Studio
Notion
Notion
Slack
Slack
Jira
Jira
PostgreSQL
PostgreSQL
Zapier
Zapier
Python
Python
Power BI
Power BI
Tableau
Tableau
BigQuery
BigQuery
Excel
Excel
Google Sheets
Google Sheets
Looker Studio
Looker Studio
Notion
Notion
Slack
Slack
Jira
Jira
PostgreSQL
PostgreSQL
Zapier
Zapier
Python
Python
Power BI
Power BI
Tableau
Tableau
BigQuery
BigQuery
Excel
Excel
Google Sheets
Google Sheets
Looker Studio
Looker Studio
Notion
Notion
Slack
Slack
Jira
Jira
PostgreSQL
PostgreSQL
Zapier
Zapier
What We Build

Comprehensive Forecasting Services

Revenue & Sales Forecasting

Statistical revenue forecasting using historical sales data, seasonal patterns, market trends, and leading indicators — giving your leadership team reliable, confidence-interval-backed revenue predictions for planning.

Revenue ForecastingSeasonalityStatistical ModelsConfidence Intervals

Demand Planning & Inventory Forecasting

Product demand forecasting using sales velocity, seasonal trends, and external factors — enabling accurate inventory planning that reduces stockouts and overstock simultaneously.

Demand ForecastingInventory PlanningSKU AnalysisSeasonal Trends

Predictive Analytics Models

Machine learning predictive models — churn prediction, lead scoring, price elasticity, customer lifetime value — built on your historical data and validated for real predictive accuracy before deployment.

ML ModelsChurn PredictionLead ScoringLTV Models

Market & Industry Trend Analysis

External market trend analysis — competitive landscape movements, consumer behaviour shifts, industry growth indicators, and regulatory environment changes — contextualising your business data in the broader market.

Market TrendsIndustry AnalysisConsumer ShiftsMacro Indicators

Business Planning Scenario Models

Multi-scenario financial models — base, best, and worst case — stress-testing your business plan against realistic assumptions and helping leadership understand which variables have the most impact on outcomes.

Scenario ModellingSensitivity AnalysisFinancial ModelsPlanning

Automated Forecast Dashboards

Live forecasting dashboards that automatically update predictions as new data arrives — giving your team always-current revenue forecasts and leading indicator dashboards without manual model re-running.

Live ForecastsAuto-UpdateLeading IndicatorsDashboards

Meet Your Forecasting Experts

Aisha
Hello, I'm

Aisha

Revenue Forecasting & Statistical Modelling Lead

A statistical modelling specialist who has built revenue forecasting models for businesses across retail, SaaS, and financial services. Aisha's models consistently achieve 90%+ accuracy and her detailed validation methodology gives clients the confidence to stake planning decisions on her outputs.

tool
tool
tool
tool
tool
tool

Recent Success Stories

Revenue Forecast: 4% Variance from Actual
Statistical Revenue Forecasting

Revenue Forecast: 4% Variance from Actual

96% Forecast Accuracy
Demand Model: Stockouts Down 60%
Product Demand Forecasting

Demand Model: Stockouts Down 60%

60% Stockout Reduction
Churn Model: 84% Accuracy, +19% Conversion
ML Churn Prediction Model

Churn Model: 84% Accuracy, +19% Conversion

+19% Trial Conversion

What Our Clients Say

"We were planning budgets based on gut feel and last year's numbers. Protechplanner built a revenue forecasting model using 3 years of sales data, seasonal patterns, and our sales pipeline data. The Q3 forecast was within 4% of actual revenue. That level of accuracy transformed how our board plans capital allocation."

Harsh Mehta
Harsh Mehta
CEO, GrowthVentures

"Stockouts were costing us ₹8L per month in lost sales during peak season. Protechplanner's demand forecasting model — trained on 2 years of sales data with seasonal decomposition — reduced stockouts by 60% while actually reducing total inventory value by 15%. The model paid for itself in the first month."

Angela Fernandez
Angela Fernandez
VP Supply Chain, RetailGroup

"We needed to predict which trial users would churn before their first paid renewal. Protechplanner built a churn prediction model with 84% accuracy — meaning we contact at-risk users 2 weeks before they leave. Our trial-to-paid conversion improved 19% in 3 months just from targeted intervention."

Rakesh Sharma
Rakesh Sharma
Head of Product, SaaS Co

FAQ

Questions about forecast accuracy, data requirements, or model types?

Message a Forecasting Expert

Get Started

See What's
Coming Next

Our forecasting specialists will build models that give your leadership team the confidence to plan, allocate, and invest with clarity rather than guesswork.

Book Free ConsultationAll Analytics Services
Call
+91 1800 567 890
Email
hello@protechplanner.com
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