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Case studies that speak for themselves

Real projects, real clients, real outcomes. See exactly how we've helped businesses save time, reduce costs, and unlock growth through data and automation.

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50+
Successful projects delivered
$1.2M+
Client value created
30h
Average weekly hours saved
4.9โ˜…
Average client satisfaction
๐Ÿค–
AI AutomationSaaS / Operations

Automated Client Onboarding Cuts Processing Time by 94%

The Challenge

A Melbourne-based SaaS company was spending 4 hours per new client on manual onboarding tasks โ€” data entry, document collection, account setup, and welcome communications. With growth accelerating, this process was becoming a serious bottleneck.

Our Solution

We built a fully automated onboarding pipeline using Make.com, GPT-4, and their existing CRM. When a contract is signed, the system automatically creates accounts, sends personalised onboarding sequences, extracts key data from documents, and notifies the relevant team members.

Delivered in:โšก 3 weeks

Results Achieved

โœ“94% reduction in onboarding time (4hrs โ†’ 15min)
โœ“Zero manual data entry errors
โœ“3 FTE hours freed up per day
โœ“Client NPS improved by 22 points

Tech Stack

Make.comGPT-4HubSpot APIDocuSignSlack
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๐Ÿ“Š
Data AnalyticsE-commerce / Retail

Power BI Dashboard Transforms Decision-Making for $8M E-Commerce Brand

The Challenge

An Australian e-commerce brand was pulling data from Shopify, Google Ads, Meta Ads, and their warehouse system into multiple spreadsheets. Leadership meetings were dominated by data reconciliation rather than strategy โ€” and decisions lagged by 2 weeks.

Our Solution

We built a unified Power BI dashboard connecting all data sources via APIs and automated ETL pipelines. The leadership team now sees real-time revenue, margin, ad performance, and inventory data in a single view, with daily automated summaries sent to their phones.

Delivered in:โšก 4 weeks

Results Achieved

โœ“Decision cycle cut from 2 weeks to same-day
โœ“Identified $120k/year in ad spend waste
โœ“Inventory stockout reduced by 68%
โœ“Saved 12 hours/week in reporting time

Tech Stack

Power BIPythonShopify APIGoogle Ads APIMeta API
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๐Ÿง 
Data ScienceFinTech / Financial Services

Churn Prediction Model Saves $280k ARR for FinTech Startup

The Challenge

A FinTech startup was losing 8% of their subscription customers monthly but had no way to predict or prevent churn. By the time customers cancelled, it was too late to intervene.

Our Solution

We built a machine learning churn prediction model using 18 months of behavioural data. The model identifies at-risk customers 30 days before likely cancellation with 83% accuracy, triggering personalised retention campaigns via their CRM.

Delivered in:โšก 6 weeks

Results Achieved

โœ“83% churn prediction accuracy
โœ“$280k ARR retained in first 6 months
โœ“Monthly churn reduced from 8% to 3.1%
โœ“Identified 3 new product improvement opportunities

Tech Stack

Pythonscikit-learnBigQuerySalesforce APIdbt
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๐Ÿ’ป
Web DevelopmentProfessional Services

Next.js Client Portal Replaces $2k/Month SaaS Tools

The Challenge

A consulting firm was paying for 6 different SaaS tools to manage client projects, invoicing, file sharing, and reporting. The fragmented stack frustrated clients and the team alike, and costs were adding up fast.

Our Solution

We built a custom Next.js client portal that unified project management, invoicing, document sharing, and progress reporting in one branded platform. Clients log in to see their project status, download reports, and communicate directly with the team.

Delivered in:โšก 5 weeks

Results Achieved

โœ“Eliminated $2,400/month in SaaS subscriptions
โœ“Client satisfaction score up 41%
โœ“Project handoff time reduced by 60%
โœ“Fully white-labelled, branded experience

Tech Stack

Next.jsPostgreSQLStripeAWS S3Vercel
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๐Ÿ“ฑ
Mobile AppsHealthcare / Wellness

React Native App Launches MVP in 6 Weeks, Reaches 1,200 Users in Month 1

The Challenge

A wellness business wanted to move their service delivery from in-person and phone calls to a mobile-first experience. They had a budget of $25k and needed to ship before a major seasonal opportunity.

Our Solution

We built a cross-platform React Native app with booking, messaging, progress tracking, and payment features. Using a component-first approach and shared business logic, we hit both iOS and Android simultaneously within the 6-week deadline.

Delivered in:โšก 6 weeks

Results Achieved

โœ“1,200 active users in first 30 days
โœ“$0 additional per-user platform costs
โœ“App Store rating of 4.8/5
โœ“3x increase in service delivery capacity

Tech Stack

React NativeExpoStripeFirebaseNode.js
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