Case Studies
Real results from real businesses we've helped transform.
Enterprise CRM Transformation
Fortune 500 Retailer
Challenge:
Scattered customer data across 200+ stores, manual processes, lack of real-time insights.
Solution:
Custom CRM with real-time inventory sync, AI-powered lead scoring, and unified customer journey tracking.
Results:
- 300% increase in sales efficiency
- 50% reduction in customer service response time
- Unified view of 2M+ customers
- Real-time pipeline visibility
AI-Powered E-Commerce Platform
Global Fashion Brand
Challenge:
Legacy system couldn't handle peak traffic, poor user experience, no personalization.
Solution:
Next.js e-commerce platform with AI recommendation engine, headless CMS, and automated inventory management.
Results:
- 250% revenue growth
- 300% increase in conversion rate
- 50% reduction in bounce rate
- Handles 1M+ daily visitors
Mobile Banking App
Regional Bank
Challenge:
Needed secure, feature-rich mobile banking solution with biometric authentication.
Solution:
Native iOS and Android apps with biometric authentication, real-time transactions, and secure payment processing.
Results:
- 500K+ active users
- 4.8-star rating on app stores
- Zero security incidents
- 40% increase in mobile transactions
Data Analytics Dashboard
Healthcare Provider
Challenge:
Needed real-time insights for patient care and operations across multiple facilities.
Solution:
Custom analytics dashboard with predictive models for patient outcomes, real-time monitoring, and operational insights.
Results:
- 40% reduction in operational costs
- 30% improvement in patient satisfaction
- Real-time monitoring of 10,000+ patients
- Predictive analytics for patient outcomes
AI-Powered Customer Support
E-Commerce Platform
Challenge:
High support ticket volume overwhelming team, slow response times.
Solution:
AI chatbot with NLP handling 80% of queries automatically, integrated with CRM and knowledge base.
Results:
- 80% reduction in support tickets
- 24/7 customer support availability
- 95% customer satisfaction rate
- 60% cost reduction in support operations
Predictive Maintenance System
Manufacturing Company
Challenge:
Unexpected equipment failures causing downtime and production delays.
Solution:
ML models predicting equipment failures, IoT sensors for real-time monitoring, and automated alerts.
Results:
- 60% reduction in unplanned downtime
- 30% decrease in maintenance costs
- Real-time equipment monitoring
- Predictive alerts 48 hours before failures