See What's Coming

Predictive Analytics and Forecasting for Businesses

Stop reacting to what already happened. Use your data to see what's coming next.

Machine learning and statistical models analyse your historical data to forecast customer behaviour, market shifts, and business outcomes before they occur.

Trusted by

Industrial Deafness Freedom Hearing Bank of China ACT XM MMCLD

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    Your details are never shared
    Typical response under 4 hours
    No obligation, no sales pressure
    200+
    Years of combined IT and cybersecurity experience across our team
    4,000+
    Endpoints actively managed across businesses
    < 5 mins
    Average response time on Priority 1 incidents
    < 24 hrs
    From first enquiry to discovery session
    30 seconds
    to process what used to take 20 minutes
    Healthcare
    Case Study
    NATIONAL HEALTHCARE PROVIDER

    AI that does the paperwork, so clinicians don't have to

    The Challenge

    A national healthcare provider was drowning in paperwork. Scanned letters and referrals piled up in inboxes, waiting to be sorted by hand. The same clients existed three times over in the system, with no one quite sure which record was correct. Stock ran out without warning. Government claim forms were filled in manually, one field at a time. Clinicians were spending more time on admin than with the people they were trying to help.

    The Solution

    Extranet Systems built a platform that read, thought, and acted.

    When a document arrived, AI read it instantly, pulling out the client’s name, the appointment date, the type of claim, and filed it in the right place without anyone touching it. When a clinician opened a new client record, the system already knew if that person existed elsewhere in the database, and offered to merge the duplicates. When stock ran low, the system had already predicted it weeks in advance based on appointment patterns. When a claim form needed to be submitted, AI pre-filled it from the source documents, turning a 20-minute form into a 30-second review.

    Every AI decision was shown to staff with a clear reason, and humans stayed in control of every important call.

    The Outcome

    The provider replaced a legacy 2019 system across every site, consolidated dozens of disconnected databases into a single source of truth, and gave hours back to clinical staff every day. Time that now goes to clients instead of paperwork.

    "We went from three disconnected tools to one unified system in 12 weeks. The team hasn't looked back, and neither have we."

    MR
    Michael R. Head of Operations, ACT XM

    Our Happy Clients

    Hear from satisfied business owners and executives who've trusted Extranet Systems with their business challenges.

    ★★★★★
    Extranet Systems provides very professional service on fulfilling our IT requirements. Having them on board really reduced a lot of our stress on looking after the IT infrastructure.
    Larson XuBank of China
    ★★★★★
    Working with Extranet Systems, their Software development, and integration with two of our other Software platforms went very smoothly, they were able to come back with something in no time.
    Raulan GrajewskiIllawarra Retirement Trust
    ★★★★★
    We recently engaged Extranet Systems to help implement AI into our business. They were very professional and had constant communication throughout the entire project.
    Corey ButlerFoxgiven
    ★★★★★
    Extranet gave us a level of integration we didn't think was possible. Night and day difference. Thank you Extranet.
    Matias LarrainFreedom Hearing
    From Hindsight to Foresight

    Analytics That Look Forward, Not Back

    Standard reporting tells you what has already happened. Predictive analytics uses machine learning to forecast what is likely to happen next, shifting your organisation from reactive decision making to proactive.

    Forecast Trends Before They Happen

    Machine learning and statistical models analyse your historical data to forecast customer behaviour, market shifts, and business outcomes before they occur.

    Stay Ahead of Your Competitors

    Businesses that identify trends early move faster and make better decisions. Predictive analytics gives you that advantage without guesswork.

    Questions

    Everything you need to know about building custom software with us

    Standard reporting tells you what has already happened in your business. Predictive analytics uses machine learning and statistical models to analyse historical data and forecast what is likely to happen next, including customer behaviour, market trends, and business outcomes. It shifts your organisation from reactive to proactive.

    Predictive analytics can forecast a wide range of outcomes including customer purchasing behaviour, demand for products or services, market trend shifts, risk of customer churn, operational bottlenecks, and financial performance. The models are built around your specific data and business context.

    We begin with a data assessment to evaluate the quality, sources, and volume of your existing data. The more historical data available, the more accurate your forecasting models can be. We also integrate data from multiple sources where needed to build a unified, comprehensive view.

    We build, train, and rigorously test models before deployment, validating them against real historical outcomes to ensure they perform accurately. After deployment we continue to monitor model performance and refine them as new data becomes available, keeping forecasts as accurate as possible over time.

    Yes. We integrate predictive analytics capabilities directly into your existing data environment and reporting infrastructure, including tools like Power BI and Tableau, so your team can access forecasts within the platforms they already use.

    Yes. Predictive models need to be maintained and updated as your data and business conditions change. We provide ongoing monitoring, model refinement, and support to ensure your forecasting capability keeps delivering accurate, relevant insights over the long term.

    How We Work

    A process built around you, not the other way around

    We don't disappear after kickoff and resurface six months later with a finished product. Every stage is collaborative, transparent, and designed to keep you in control.

    Customer Behaviour Forecasting

    Predict how your customers will act next using machine learning trained on your historical data.

    Week 1–2 No obligation

    Market Trend Identification

    Surface emerging trends in your market before competitors can capitalise on them.

    Week 2–4 You approve before we build

    Real-Time Data Integration

    Continuously updated models that pull from multiple data sources for the freshest possible forecasts.

    Fortnightly demos Direct developer access

    Advanced Statistical Modelling

    Purpose-built statistical models designed around the specific patterns in your business data.

    Full QA included Go-live support

    Interactive Visualisation Dashboards

    Forecast outputs presented in clear, interactive dashboards accessible at every level of your organisation.

    Monthly retainers available 98% client retention

    Scalable and Secure Architecture

    Predictive systems built to grow with your data volumes and protected by robust security controls.

    Sounds like the kind of team you want? Most clients tell us we're the first software company that actually kept them in the loop.
    DISCOVER MORE • DISCOVER MORE •
    Your Trusted Partner

    The Extranet Predictive Analytics Advantage

    We combine deep technical expertise in machine learning and statistical modelling with a thorough understanding of your business environment to deliver forecasting that drives real strategic value.

    Customised approach
    Expert team
    Proven track record

    Innovate
    Beyond
    Limits

    Your Predictive Analytics and Forecasting should work the way you do, not the other way around. Let's build something that actually fits.

    Start your project

    We'll get back to you within one business day.

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