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Case Studies

Impact at scale. Proven.

We partner with global leaders to solve complex, mission-critical problems. Explore how Stackroft turns strategic ambition into measurable operational reality.

Retail & E-Commerce
Global Top 10 Retailer

AI-Powered Unified Commerce Ecosystem

Modernizing a legacy multi-brand retailer by breaking down data silos between physical stores and digital channels to drastically optimize inventory and personalization.

Capabilities Applied

AI & Data ServicesSoftware DevelopmentCloud Architecture

The Challenge

The client struggled with disconnected online and offline customer data, leading to massive inventory bloat, high cart abandonment rates, and an inability to accurately forecast demand during major seasonal peaks.

The Solution

We deployed machine learning demand forecasting models integrated with a newly architected headless commerce platform. This allowed for real-time inventory adjustments and dynamic pricing, all managed via a centralized control plane.

22%
Uplift in conversion rate
30%
Lower inventory holding costs
$40M
Annual OPEX savings
Banking & Financial Services
National Commercial Bank

Next-Gen AML Neural Network Validation

Replacing rules-based compliance systems with intelligent, self-learning fraud detection networks to secure domestic and cross-border transactions.

Capabilities Applied

AI & Data ServicesConsulting

The Challenge

Massive false-positive rates on legacy transaction monitoring platforms were overloading compliance teams, resulting in delayed wire transfers and ballooning operational headcount.

The Solution

We engineered and deployed real-time graph neural networks designed specifically for financial transaction flows. The models autonomously score interaction risk in milliseconds while maintaining full regulatory transparency capabilities.

3x
Faster regulatory reporting
35%
Reduction in fraud losses
80%
Drop in false positives
Healthcare & Life Sciences
Multinational Hospital Network

Digitizing Clinical Trials at Scale

Accelerating the deployment of life-saving medical research by unifying fragmented patient data across dozens of hospital entities.

Capabilities Applied

Software DevelopmentAI & Data ServicesCloud & Infrastructure

The Challenge

Heavy reliance on manual, paper-based recruitment workflows resulted in severe delays for phase 2/3 clinical trials. Patient screening was slow, geographically limited, and non-compliant with modern interoperability standards.

The Solution

Built an enterprise-wide "Patient 360" platform leveraging strict HIPAA/GDPR-compliant cloud architecture. The system uses natural language processing to pre-screen clinical notes and instantly match patients to active trial cohorts.

40%
Faster trial enrolment
25%
Lower trial operation costs
10M+
Patient records unified
Logistics & Supply Chain
International Freight Operator

IoT-Driven Supply Chain Visibility

Providing end-to-end transparency across complex, multi-modal container shipping pipelines spanning critical international maritime and land borders.

Capabilities Applied

GIS & GeospatialManaged ServicesSoftware Development

The Challenge

A complete lack of real-time track and trace capabilities left dispatchers relying on delayed manual updates. This resulted in poor route optimization, vast fuel inefficiency, and severe demurrage penalties at ports.

The Solution

Deployed a high-throughput IoT streaming data pipeline directly to heavy asset trackers. We paired this with customized geospatial (GIS) command dashboards that enable predictive route planning and autonomous detention warnings.

2.4x
Improvement in on-time delivery
18%
Reduction in fuel costs
100%
Real-time container visibility
Agriculture & Environment
National Agricultural Cooperative

Satellite-Driven Precision Agriculture

Harnessing low-earth orbit imagery and multi-spectral analysis to provide actionable insights for thousands of independent farmers.

Capabilities Applied

GIS & GeospatialAI & Data Services

The Challenge

Unpredictable weather patterns and blind yield forecasting led to immense crop waste and inefficient distribution of critical resources like water and specialized fertilizers.

The Solution

Designed an automated remote sensing pipeline processing multi-temporal satellite imagery. By combining NDVI logic with granular local weather data, the platform pushes SMS-based yield forecasting directly to farmers in the field.

20%
Average yield improvement
1M+
Hectares monitored continuously
15%
Reduction in water usage
Government & Public Sector
Federal Ministry

Sovereign Cloud & Citizen Portal Migration

Modernizing citizen access to public services by sunsetting unscalable mainframe infrastructure in favor of sovereign, highly-available cloud systems.

Capabilities Applied

Cloud & InfrastructureSoftware DevelopmentConsulting

The Challenge

Fragmented, decades-old IT architectures were severely limiting citizen access. Application processing took weeks due to disjointed inner-agency communications and frequent system crashes under peak load.

The Solution

Executed a complete, zero-downtime migration to a sovereign hybrid-cloud environment compliant with intense federal security frameworks. Simultaneously built a unified, React-driven public service portal with single-sign-on capabilities.

99.9%
Uptime on core civic systems
3M+
Peak daily active users
50%
Faster application processing
Energy & Utilities
Global Energy Conglomerate

Predictive Maintenance on Grid Assets

Integrating massive SCADA data streams with advanced analytics to prevent catastrophic grid failures before they happen.

Capabilities Applied

AI & Data ServicesManaged ServicesCloud & Infrastructure

The Challenge

Costly, unpredictable grid outages were occurring due to legacy hardware failures. Maintenance was purely reactive, resulting in hazardous conditions and enormous emergency repair expenditures.

The Solution

Implemented a predictive asset maintenance architecture. By streaming SCADA data into machine learning classifiers, the system identifies vibration, temperature, and load anomalies to warn engineers weeks before a component fails.

28%
Reduction in asset downtime
$12M
Annual maintenance savings
95%
Failure prediction accuracy

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