Case Studies

Real results from real clients

Healthcare

Multi-Clinic Patient Analytics System

Regional healthcare network with 5 clinics serving 15,000+ patients

Client:

Regional Healthcare Group

Industry:

Healthcare / Primary Care

Timeline:

3 weeks setup, ongoing

⚠️ The Challenge

  • Data scattered across 5 separate clinic systems
  • No unified view of patient operations
  • Reporting took 2 staff members 40+ hours per month
  • High no-show rate (22%) with no predictive system
  • Unable to identify operational bottlenecks

✓ Our Solution

  • Unified Data Pipeline: Connected all 5 clinic EMR systems into centralized PostgreSQL database
  • Real-Time Dashboard: Live patient operations dashboard with appointment status, wait times, and capacity
  • Predictive No-Show Model: Machine learning model to identify high-risk appointments
  • Automated Reporting: Daily, weekly, and monthly reports generated and emailed automatically
  • Alert System: Real-time notifications for capacity issues and operational anomalies

Results

90%
Reduction in reporting time
35%
Decrease in no-shows
$127K
Annual savings
"We went from spending entire days creating reports to having everything automatically updated in real-time. The no-show prediction alone has saved us hundreds of lost appointments per month."
— Operations Director, Regional Healthcare Group
Finance

SaaS Revenue Intelligence Platform

B2B SaaS company with $2M ARR growing rapidly

Client:

TechFlow SaaS

Industry:

SaaS / Technology

Timeline:

2 weeks setup

⚠️ The Challenge

  • Revenue data spread across Stripe, Salesforce, and internal database
  • CEO manually compiled metrics in Excel each week
  • No cohort analysis or churn insights
  • Investors requesting detailed MRR metrics
  • Needed reliable revenue forecasting

✓ Our Solution

  • Multi-Source Integration: Connected Stripe, Salesforce, and internal database
  • MRR Dashboard: Real-time revenue metrics, growth rates, and churn analysis
  • Cohort Analytics: Customer retention and expansion revenue by cohort
  • Predictive Forecasting: Statistical models for revenue projection
  • Investor Reports: Automated monthly investor update with key SaaS metrics

Results

6 hrs
Weekly time saved
100%
Revenue tracking accuracy
5-min
To generate investor report
"Having real-time revenue metrics has transformed how we run the business. We can now spot trends immediately and make data-driven decisions. The investor reports alone save me hours every month."
— CEO, TechFlow SaaS
Retail

E-Commerce Operations Dashboard

Online retailer with 10,000+ SKUs and multi-channel sales

Client:

StyleHub Retail

Industry:

E-Commerce / Retail

Timeline:

3 weeks setup

⚠️ The Challenge

  • Inventory across 3 warehouses with frequent stockouts
  • Sales data from website, Amazon, and eBay not unified
  • No demand forecasting, leading to overstock/understock
  • Manual inventory reports took 20 hours weekly
  • Lost sales due to poor inventory visibility

✓ Our Solution

  • Unified Inventory System: Real-time tracking across all warehouses and channels
  • Demand Forecasting: Predictive model for optimal stock levels
  • Multi-Channel Dashboard: Sales performance across all platforms
  • Automated Reordering: Alerts when inventory hits reorder points
  • Performance Analytics: Product performance, margin analysis, trend identification

Results

65%
Reduction in stockouts
$89K
Monthly revenue increase
20 hrs
Weekly time saved
"The demand forecasting has been a game-changer. We're no longer constantly running out of top sellers or sitting on dead inventory. Our cash flow has improved dramatically."

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