Proven Results
Real-world case studies demonstrating quantified impact across infrastructure optimization and AI transformation.
Logistics & Warehousing
WiFi Optimization for 15 Logistics Warehouses
Transforming warehouse operations through RF engineering and network optimization
Challenge
- • 15 logistics warehouses experiencing severe connectivity issues
- • 2 hours of daily downtime affecting operations
- • 1,500+ monthly support tickets related to WiFi issues
- • Scanner uptime at only 88%, impacting productivity
Solution
- • Comprehensive Site Surveys using Ekahau Pro
- • RF Heat Mapping: Detailed RF heat maps to identify dead zones
- • AP Density Optimization: Optimal placement with 1 AP per 1,000 ft² coverage
- • Channel Planning: Strategic channel allocation to minimize interference
- • Power Optimization: Fine-tuned transmit power levels
Results
98%
Scanner Uptime
25%
Reduced Disruptions
$118.8K
Project Budget
16
Weeks Delivery
-70%
Support Tickets
$200K
Annual Savings
Retail
SD-WAN Migration for 200+ Retail Sites
Modernizing network infrastructure for enhanced performance and cost efficiency
Challenge
- • 200+ retail locations with legacy MPLS infrastructure
- • 120ms average latency to cloud applications
- • $2,000 per site per month in connectivity costs
- • Static routing unable to adapt to traffic patterns
Solution
- • Phased SD-WAN Rollout: Strategic 6-month migration plan
- • Application-Aware Routing: Intelligent traffic steering
- • Dual Internet Links: Primary broadband + backup 4G/LTE
- • Zero-Touch Provisioning: Automated device configuration
Results
50%
Latency Reduced
40%
OpEx Savings
<2hr
Cutover/Site
99.9%
Uptime SLA
6
Month Timeline
$960K
Annual Savings
Enterprise IT Operations
AI-Powered NOC Transformation
Leveraging machine learning for proactive incident management and self-healing
Challenge
- • Manual incident detection across 5,000+ monitored devices
- • 4-hour mean time to detect (MTTD) for critical issues
- • High false-positive rates overwhelming NOC team
- • Reactive approach leading to prolonged outages
Solution
- • ML Anomaly Detection: Real-time anomaly detection using machine learning
- • Self-Healing Playbooks: Automated remediation using Ansible
- • AIOps Integration: Integration with ServiceNow for intelligent ticketing
- • Predictive Analytics: Forecasting potential failures before they occur
Results
60%
Reduced MTTD
40%
Auto-Classified
30%
Reduced Costs
85%
Prediction Accuracy
1.6hr
New MTTD
50%
Reduced Manual Work
Cybersecurity
AI-Enhanced Security & Service Management
Transforming security operations with machine learning and intelligent automation
Challenge
- • 10,000+ security alerts daily overwhelming SOC team
- • 95% false-positive rate causing alert fatigue
- • Manual triage consuming 70% of analyst time
- • Average 8-hour response time for genuine threats
Solution
- • ML-Driven Detection: Random Forest and Deep Neural Networks
- • SOAR Integration: Security Orchestration, Automation, and Response
- • NLP Chatbot: Natural language processing for L1 support
- • Threat Intelligence: Integration with global threat feeds
Results
80%
Detection Accuracy
50%
Reduced False Positives
50%
L1 Automation
45%
Reduced Handling Time
2.5hr
Response Time
$400K
Annual Savings
Network Operations
AI-Driven Capacity Planning & Optimization
Predictive analytics for proactive network capacity management
Challenge
- • Static capacity planning leading to over/under-provisioning
- • Reactive scaling causing performance degradation
- • Manual forecasting taking 40+ hours per quarter
- • Inability to predict seasonal traffic patterns
Solution
- • Time-Series Forecasting: Prophet and LSTM models for traffic prediction
- • Dynamic Scaling: Automated capacity adjustments based on predictions
- • Multi-Variate Analysis: Correlation of network metrics with business KPIs
Results
±5%
Prediction Accuracy
15min
Scaling Time
98%
Uptime
35%
Reduced CapEx
90%
Reduced Planning Time
$500K
Annual Savings
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