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A manager studying a colourful business dashboard by a sunny window

Predictive AI

In production

AI Data Analytics

Predictive dashboards, KPI tracking and machine-learning insights across your ERP, CRM, IoT and spreadsheet data.

KPIForecastingAnomaly DetectionReportsERP / CRM
KPI Forecasting Anomaly Detection Reports ERP / CRM

How It Works

How AI analytics works

Raw data in. Business decisions out.

  1. 01Data SourcesERP, CRM, IoT, spreadsheets
  2. 02ETL PipelineClean, transform & unify
  3. 03AI EngineML models analyse patterns
  4. 04PredictionsForecasts & anomalies
  5. 05KPI DashboardLive charts & scorecards
  6. 06Business DecisionActionable insight delivered

Key Features

What it does

Analytics designed for every level of your organisation.

01

Predictive Dashboards

Dashboards that show not only what happened, but what is likely to happen next.

02

KPI Tracking & Goals

Define KPIs, set targets and track progress with clear goal indicators.

03

Anomaly Detection

Machine-learning models surface outliers and unusual patterns before they become problems.

04

Custom Report Builder

Every team builds and schedules the exact reports it needs.

05

Data Integration

Connect ERP, CRM, IoT platforms, databases and cloud data sources.

06

Executive Summaries

Generated narrative summaries give leadership the picture without the raw data.

Who It's For

Where it earns its keep

The teams that get the most out of AI Data Analytics usually look like one of these.

Sales & distribution

Demand forecasts by region and SKU, and early warning on slow movers.

Operations heads

One scorecard across plants, branches or sites instead of ten spreadsheets.

Founders & leadership

A weekly narrative of what changed and why, without asking for a report.

Working With Us

From first call to go-live

The same engineers who build our products deploy and support them.

01

Walkthrough on your data

We start with a session on your actual process and a sample of your real data, not a slide deck.

02

Configured, not rebuilt

Fields, workflows, roles and reports are set up to match how your team already works.

03

Rolled out in slices

One team or site goes live first; the rest follow once it has proved itself.

04

Supported by the builders

The engineers who wrote it handle your support tickets and change requests.

See it on
your own data.

Tell us how the work is done today. We will show you what AI Data Analytics changes, and be straight with you if it is not the right fit.