Analytics Solutions
Predictive Professional

Predictive Analytics

DevSimplex builds custom predictive analytics solutions that use machine learning to forecast demand, predict customer behavior, and optimize business outcomes.

View Case Studies
45+
Success Rate
92%
Avg Delivery
1+
Projects Delivered
+40%
Client Retention

Trusted by 200+ businesses worldwide

Our Offerings

End-to-end software solutions tailored to your business needs

Demand Forecasting

Predict future demand with ML-powered forecasting.

Features:

  • Time series analysis
  • Seasonal patterns
  • External factors
PythonProphetscikit-learn

Churn Prediction

Identify at-risk customers before they leave.

Features:

  • Risk scoring
  • Early warning
  • Intervention triggers
PythonTensorFlowPostgreSQL

Risk Scoring

Predict and quantify business risks.

Features:

  • Credit risk
  • Fraud detection
  • Operational risk
Pythonscikit-learnPostgreSQL

Our Process

A systematic approach to quality delivery and successful outcomes

1

01

2 weeks

Define prediction objectives and data requirements.

Deliverables:

  • Use case definition
  • Data assessment
  • Success metrics
2

02

3-4 weeks

Prepare and engineer features.

Deliverables:

  • Clean data
  • Feature engineering
  • Training datasets
3

03

4-10 weeks

Build and validate predictive models.

Deliverables:

  • Trained models
  • Validation results
  • API
4

04

2-4 weeks

Deploy models and set up monitoring.

Deliverables:

  • Production models
  • Monitoring
  • Retraining pipeline

Case Studies

Real-world success stories and business impact

Demand Forecasting Platform

Retail CompanyRetail

Challenge:

Inaccurate demand forecasts causing stockouts and overstock

Solution:

ML-powered demand forecasting with external data integration

Results:

35% improvement in forecast accuracy
25% inventory reduction

Tech:

PythonProphetPostgreSQL

Client Stories

What our clients say about working with us

"The forecasting accuracy improved dramatically. We've reduced stockouts by 40% while lowering inventory costs."
Jennifer Wu
VP Supply Chain
RetailMax

Frequently Asked Questions

Get expert answers to common questions about our enterprise software development services, process, and pricing.

Accuracy depends on data quality and use case. We typically achieve 85-95% accuracy with proper data.

We set up automated retraining pipelines that update models based on new data and drift detection.

Still Have Questions?

Get in touch with our team for personalized help.

Ready to Get Started?

Let's discuss how we can help transform your business with analytics solutions.