ProWin AI Deployment
AI Deployment

AI in production,
not in slides.

ProWin AI moves artificial intelligence from boardroom presentation to production reality. We embed predictive models into pricing, sales, procurement, and customer operations — connecting to the systems your teams already use.

89%less data prep time
4.1×revenue lift from AI pricing
< 48 hrsto first prediction

The platform

The commercial
AI stack.

Three engines wired into the systems you already run — demand, pricing, retention. No notebooks, no science projects.

01

Demand Intelligence Engine

Predict what customers will buy, when, and at what price — across every SKU, segment, and geography. Models retrain automatically on fresh data.

02

Pricing Optimisation

Real-time pricing recommendations anchored to cost structures, competitor signals, and demand elasticity. Margins protected. Revenue maximised.

03

Lead Scoring & Churn Prediction

Score every opportunity and flag every at-risk account 60+ days before they stall or churn. Sales and CS teams act on ranked signals — not gut feel.

AI model monitor
Nominal
Demand Forecast

94.2% accuracy

↑ +2.1%

Churn Risk

847 flagged

Live

Pricing Rec

12,400 active

Hourly

All systems nominal

Last retrained 2 hours ago

Use cases

AI that ships to
production, not slides.

Three places ProWin AI shows up in the day-to-day work — pricing, pipeline, retention. All wired into your existing stack.

Autonomous Pricing

Dynamic pricing models that update hourly based on competitor signals, inventory levels, and demand curves. Margin guardrails built in.

SpecHourly Updates
YieldMargins Protected

Pipeline Intelligence

Every deal in your CRM scored, ranked, and annotated with next-best actions. Forecast accuracy improves as models learn your pipeline patterns.

SpecLive Scoring
YieldHigher Forecast Accuracy

Churn Prevention

Accounts flagged 60 days before churn with severity scores and recommended interventions. Retention workflows trigger automatically.

Spec60-Day Lead Time
YieldRetention Up

How it works

From data to production
AI in four weeks.

Connect, configure, validate, deploy. No proofs of concept that never ship.

Step 01

Connect

Data connectors for your CRM, ERP, data warehouse, and external signals. Most environments are connected in under 48 hours.

Step 02

Configure

Our AI team configures pre-built commercial models to your data structure, business rules, and KPI targets. No coding required.

Step 03

Validate

A 2-week validation period compares model predictions to actual outcomes. We tune until accuracy meets your threshold.

Step 04

Deploy

Models go live in your existing stack — pricing engine, CRM alerts, demand feeds. Full monitoring and drift detection from day one.

AI infrastructure integrations

AWS SageMaker
Azure ML
Google Vertex AI
Databricks
dbt
Snowflake
Kafka
Airflow
AWS SageMaker
Azure ML
Google Vertex AI
Databricks
dbt
Snowflake
Kafka
Airflow
AWS SageMaker
Azure ML
Google Vertex AI
Databricks
dbt
Snowflake
Kafka
Airflow

Enterprise AI

From proof of concept
to production.

Our AI deployment team embeds models into your commercial stack with full monitoring, governance, and rollback capability built in. No experiments — just results.

Common questions

Asked, and answered.