
We partner with global leaders to solve complex, mission-critical problems. Explore how Stackroft turns strategic ambition into measurable operational reality.
Modernizing a legacy multi-brand retailer by breaking down data silos between physical stores and digital channels to drastically optimize inventory and personalization.
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.
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.
Replacing a batch-processing risk engine with a streaming architecture that delivers live portfolio exposure across asset classes — reducing risk reporting latency from 4 hours to under 90 seconds.
The bank's legacy risk engine processed end-of-day batch jobs, leaving traders with stale exposure data during volatile intraday sessions. Regulatory requirements mandated near-real-time reporting within 18 months, creating an urgent architectural overhaul.
We rebuilt the risk calculation layer on an event-streaming backbone using Apache Kafka and Flink, with a new API layer serving live exposure dashboards to traders and risk officers. The solution was deployed incrementally with zero trading disruption.
Migrating a 20-year-old on-premise ERP system to a cloud-native architecture across 6 production facilities — with no downtime, no data loss, and a 45% reduction in infrastructure operating costs.
The group's ERP landscape had grown into a patchwork of heavily customised modules that no single vendor supported end-to-end. Upgrades were blocked for years, security patches were delayed, and integration with new factory equipment was impossible.
We executed a strangler-fig migration pattern — incrementally replacing legacy modules with cloud-native services while keeping the existing system live. Each facility was migrated in a dedicated sprint with a tested rollback plan, ensuring zero production disruption.
Deploying an edge-to-cloud IoT architecture that ingests telemetry from 500,000 connected vehicles to predict component failures before they happen — reducing unplanned downtime by 35%.
Despite manufacturing vehicles with embedded sensors, the OEM had no infrastructure to act on the data being generated. Warranty claims from preventable failures were costing hundreds of millions annually, and fleet operators demanded proactive service models.
We built an edge-to-cloud telemetry pipeline processing 2TB of vehicle data per day. Gradient boosting models trained on historical failure patterns detect anomalies 14 days in advance on average, triggering automated service scheduling through dealer APIs.
Building a self-service Internal Developer Platform that abstracts away infrastructure complexity — compressing the time from code commit to production from 4 days to under 2 hours.
Engineering teams were bottlenecked on a small platform team responsible for every deployment. Each service launch required manual Terraform, Kubernetes config, and approval tickets. Developer satisfaction was low and top engineers were leaving for competitors.
We designed and built a golden-path IDP on top of Backstage, with pre-approved service templates, automated environment provisioning, and a self-service secrets manager. Teams could spin up a new production-ready service in under 15 minutes.
Architecting the core ledger, compliance engine, and API gateway that powers a startup's embedded finance product — built to handle 10M+ transactions per month from day one.
The founding team had strong product intuition but no in-house infrastructure expertise. They needed a production-ready, PCI-DSS-compliant core banking foundation in under 6 months to hit their Series B milestone and launch in 3 markets simultaneously.
We designed and built the entire core infrastructure stack — double-entry ledger, idempotent payment processor, KYC/AML compliance hooks, and a developer-facing REST API. Delivered in 5 months and passed PCI-DSS Level 1 audit on the first attempt.
Building an AI-driven operations hub that unifies carrier data, warehouse telemetry, and customer demand signals into a single control plane — cutting exception handling time by 60%.
Operating across 14 countries with 30+ carrier integrations, the client had no single view of shipment status. Operations teams manually triaged thousands of daily exceptions across disconnected portals, causing SLA breaches and eroding client trust.
We designed and built a unified control tower platform ingesting real-time data from all carriers via standardized APIs and EDI feeds. An ML-based anomaly detection layer automatically triages exceptions by severity and routes them to the right team.
Designing and delivering a patient-facing digital platform that connects insured members with preventive care services, reducing unnecessary GP visits by 28% in the first year.
The insurer's member engagement was almost entirely paper-based, with no digital channel for preventive health nudges or appointment management. Low engagement with wellness programs was driving up claims costs year-over-year.
We built a mobile-first member portal with personalized health nudges, digital appointment booking, and integrated wellness program enrollment. The platform connected directly with 200+ partner clinics via FHIR-compliant APIs.
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