Case Studies

Overview

A manufacturing company with aging factory systems needed to improve operational efficiency, reduce downtime, and implement predictive maintenance without disrupting ongoing production.

Challenge

The manufacturer was experiencing frequent unplanned downtime costing millions in lost productivity. Their legacy systems provided no real-time visibility into equipment health, and maintenance was purely reactive. Energy costs were also rising due to inefficient operations.

Solution

We designed and implemented a phased IoT and edge computing solution: - Retrofit sensors on critical equipment - Edge computing for real-time processing - Cloud-based analytics platform - Predictive maintenance algorithms - Energy optimization system - Mobile dashboards for floor managers

Results

• - 27% reduction in unplanned downtime
• - 18% improvement in overall equipment effectiveness
• - 12% decrease in energy consumption
• - ROI achieved within 14 months
• - $2.3M annual savings in maintenance costs

Overview

A fintech startup looking to establish market presence and build brand trust in a competitive landscape dominated by traditional banking institutions with established reputations.

Challenge

As a new entrant in the financial services space, the startup faced significant challenges in building trust and awareness. They had a superior product but struggled to communicate their value proposition effectively and compete with the marketing budgets of established banks.

Solution

We created a comprehensive digital marketing strategy that included: - Educational content marketing program - Influencer partnership strategy - Community building on social platforms - Targeted paid advertising campaigns - Brand voice development - Customer success story amplification

Results

• - 285% growth in social media following over 12 months
• - 189% increase in qualified leads from digital channels
• - 42% lower customer acquisition cost compared to industry average
• - Featured in 15+ industry publications
• - 10,000+ app downloads in first 6 months

Overview

A healthcare network seeking to improve patient care coordination, reduce administrative burden, and deliver more personalized care with existing staff and resources.

Challenge

The healthcare provider was struggling with fragmented patient data across multiple systems, leading to inefficiencies in care coordination. Clinical staff were spending 40% of their time on administrative tasks, and there was no systematic way to identify high-risk patients for preventive interventions.

Solution

We developed and implemented an AI-driven care coordination platform that: - Integrated with their existing EHR systems - Used machine learning for patient risk stratification - Automated administrative workflows - Provided real-time care recommendations - Created a unified patient view dashboard

Results

• - 32% reduction in administrative tasks for clinical staff
• - 22% improvement in care plan adherence
• - 18% decrease in hospital readmission rates
• - Over 10,000 hours annually redirected to patient care
• - ROI achieved within 10 months

Overview

A leading retail chain struggling with an outdated e-commerce platform that couldn't handle increased traffic volumes and lacked modern features like personalization and mobile responsiveness.

Challenge

The retail chain was experiencing significant revenue loss due to poor site performance during peak shopping periods. Their monolithic architecture made it difficult to implement new features quickly, and the lack of mobile optimization was causing them to lose 60% of potential mobile customers.

Solution

We implemented a cloud-based headless commerce architecture with a modern front-end experience built on Next.js and React. The solution included: - Microservices architecture for scalability - AI-driven personalization engine - Progressive Web App (PWA) for mobile users - Real-time inventory management - Optimized checkout flow with one-click purchasing

Results

• - 127% increase in mobile conversion rates
• - 45% reduction in page load times
• - 38% increase in average order value
• - 68% improvement in customer satisfaction scores
• - Handled 3x more traffic during Black Friday without issues