Case Studies
Real Results with Numantec
At Numantec, we don’t just deliver services—we create transformation. Our client-first approach, deep technical expertise, and focus on scalable, future-ready solutions have helped businesses across industries achieve remarkable outcomes.
AI Prediction Models
A leading service provider safe gaurding North American utility infrastructure.
Challenges
Client was looking for proper maintenance of wood and steel poles which includes inspection and remedial treatment to have a reliable service life to pole plant. It is critical to estimate the decay rate to treat poles.
Benefits
It is a huge differentiator in the market for steel and wood plant maintenance. projecting steel/wood pole 1. Projecting wood pole/steel tower condition into the future, thus making it resilient. 2. Bringing a modern financial decision makeing framework to pole maintenance, life extension and replacement decisions. 3. Extendable solution to estimate pole conditions of non customers from different demographics.
Contact Us
https://numantec.com
Email: sales@numantec.com
Client: Utility Service Provider from North America
Industry: Services
What We Did:
- The project mainly deals with Wood & Steel poles, helps for sales team for predicting the pole conditions and presenting reports to various customers.
- Built predictive analysis models for decay, corrosion for wood and steel distribution and transmission utility plant.
- Created various classification & clustering models to predict pole condition.
- Built apps comprise highly sophisticated statistical analysis & financial forecasting.
- Built customized K8 cluster for concurrency process.
E-commerce Operational Efficiency
An e-commerce company with millions of daily active users was having regular service outages leading to lost sales. Traditional monitoring tools used were only reporting these outages .
Challenge
1. Unpredictable spikes in website traffic, leading to periodic service outages and lost sales. 2.Traditional monitoring tools were unable to predict these spikes accurately 3. Manual scaling processes were too slow to respond effectively 4. Users were highly frustrated leading to business loses
Benefits
99.99% uptime achieved, up from 99.9% previously. 30% reduction in infrastructure costs due to more efficient resource allocation. 50% decrease in average page load times during peak traffic periods. 25% increase in conversion rates attributed to improved site reliability and performance. Automated response systems handling rapid changes in demand
Contact Us
https://numantec.com
Email : sales@numantec.com
Client: Ecommerce Giant
Industry: Retail
What We Did:
- Deployed an AIOps platform integrating data from web servers, databases, CDN logs, and business intelligence systems.
- Implemented machine learning models to predict traffic patterns based on historical data, current trends, and external factors (e.g., marketing campaigns, holidays).
- Developed automated scaling protocols triggered by AI-generated predictions.
- Integrated the AIOps platform with the company’s CI/CD pipeline for proactive performance testing of new deployments.
- Integrated business data with IT operations data for accurate predictions
- Continuous model training to adapt to changing traffic patterns and user behaviors
Performance Enhancement for Healthcare Giant
A large healthcare provider network with multiple hospitals, clinics, and telemedicine services.It is essential for these services to run without any outages especially for critical health care to meet high patient care quality
Challenge
1. Customer struggling with frequent outages and performance issues in critical healthcare applications. 2. Outages were impacting patient care quality and operational efficiency. 3.Customer has complex, distributed IT infrastructure making it difficult to identify and resolve issues quickly.
Benefits
1. 70% reduction in unplanned downtime for critical healthcare applications. 2. 50% reduction in mean time to resolve (MTTR) for IT incidents. 40% decrease in IT-related complaints from healthcare staff. 3. 30% reduction in operational costs with improved efficiency & reduced overtime 4. Improved patient satisfaction scores attributed to more reliable healthcare systems
Contact Us
https://numantec.com
Email: sales @numantec.com
Client: HealthCare Giant
Industry: HealthCare
What We Did:
- Deployed an AIOps platform integrating data from electronic health record (EHR) systems, medical devices, network infrastructure, and application performance monitoring tools.
- Implemented predictive maintenance models for critical medical equipment and IT infrastructure.
- Developed ML models for predicting application performance issues and potential failures.
- Implemented automated root cause analysis and guided remediation for common issues.
- Integrated the AIOps platform with IT service management (ITSM) systems for streamlined incident management.