You're sitting on a goldmine of business data. Sales figures, customer behaviour, operational metrics, financial records — it's all there. The problem isn't having data. It's making sense of it without hiring a data science team you can't afford.

I integrate AI into your existing data workflows to surface insights that actually drive decisions. No complex dashboards nobody uses. No six-month implementation projects. Just practical analytics that help you run a better business.

What I Build

Automated Reporting

If someone on your team spends hours each week compiling reports from different systems, that's time you're wasting. I build automated pipelines that pull data from your existing tools — accounting software, CRM, spreadsheets, e-commerce platforms — and generate the reports you actually need.

• Daily/weekly/monthly reports generated automatically
• Data pulled from multiple sources and unified
• Plain-English summaries highlighting what matters
• Anomaly detection that flags issues before they become problems

Predictive Analytics

AI can identify patterns in your historical data that humans miss. I build models tailored to your business that forecast demand, predict churn, and identify opportunities.

• Sales forecasting — predict revenue with 85%+ accuracy using your historical data
• Demand planning — know what stock to order and when
• Customer churn prediction — identify at-risk customers before they leave
• Cash flow modelling — forecast your financial position weeks ahead

Natural Language Data Queries

Instead of writing complex spreadsheet formulas or SQL queries, your team asks questions in plain English. "What were our top 5 products last quarter?" or "Which customers haven't ordered in 60 days?" — and gets instant answers.

Live Dashboards

Real-time dashboards that actually get used, because they show the metrics that matter to your business. Not generic templates — custom views built around your KPIs and decision-making process.

Typical Results

• 10-15 hours per week saved on manual reporting
• 85%+ accuracy on sales and demand forecasts
• 20-30% reduction in overstock and understock situations
• Faster decisions — from days of analysis to minutes

Common Use Cases

Retail and E-commerce

Inventory optimisation, demand forecasting, customer segmentation, pricing analysis. AI processes your sales data and tells you what to stock, when to discount, and which customers need attention.

Professional Services

Utilisation tracking, project profitability analysis, pipeline forecasting, resource allocation. Stop guessing which projects are profitable and which are draining your margin.

Manufacturing

Production efficiency metrics, quality trend analysis, supply chain optimisation, predictive maintenance indicators. Turn your operational data into competitive advantage.

How It Works

1. Data audit — I map your existing data sources, identify what's useful, and flag gaps
2. Pipeline setup — Connect your systems and build automated data flows
3. Analytics layer — Build the reporting, forecasting, and querying tools you need
4. Training — Your team learns to use the system and interpret results

Most setups take 3-5 weeks. The automated reporting alone typically pays for the entire project within the first month.

Related: See how to measure the ROI of AI integration, or read about choosing the right AI tools for your business.

Browse our retail case study to see AI data analysis in action, or explore other services like AI process automation and AI sales and CRM.