KivvaTech
AI Solutions

Predictive Analytics

Know what happens next. Act before your competitors do.

We build predictive models that turn your historical data into forward-looking intelligence — demand forecasting, churn prediction, fraud detection, and customer lifetime value models deployed directly into your operational systems.

35%

Average forecast accuracy improvement

28%

Avg churn reduction

6 weeks

Model to production

100%

IP ownership

What we deliver

Every engagement is scoped, priced, and delivered against these capabilities.

Demand Forecasting

Time-series models for inventory, staffing, and capacity planning. Handles seasonality, promotions, and external signals.

Churn Prediction

Identify at-risk customers 30–90 days before they leave. Trigger automated retention interventions at the right moment.

Fraud & Anomaly Detection

Real-time transaction scoring, behaviour anomaly detection, and rule-based hybrid systems for financial and e-commerce platforms.

Customer Lifetime Value

CLV models that segment customers by value, predict future spend, and inform acquisition and retention budget allocation.

Price Optimisation

Dynamic pricing models that maximise revenue while maintaining competitive positioning and margin targets.

Operational Predictive Maintenance

IoT sensor data analysis and failure prediction for manufacturing, logistics, and infrastructure assets.

How we work

A predictable process that keeps you informed and in control at every stage.

01

Problem definition & data audit

Define the prediction target, identify data sources, and assess data quality and volume.

02

Baseline model

Establish a simple baseline and benchmark. Understand feature importance before adding complexity.

03

Model development & validation

Train, tune, and evaluate against holdout data and business-relevant metrics.

04

Production integration

Serve predictions via API, embed into your operational systems, and monitor drift over time.

Technologies we use

ML

scikit-learnXGBoostLightGBMPyTorch

Time Series

ProphetNeuralProphetNixtlaStatsmodels

MLOps

MLflowWeights & BiasesSageMakerVertex AI

Data

SnowflakeBigQuerydbtSpark

What would you do differently if you could predict it?

Tell us the business problem and we'll tell you if ML can solve it.

Response within 24 hours. NDA available on request.