Edge-Linked Supply Mesh for Logistics

Multi-Factor Route Optimisation, SD-WAN Telemetry, Digital-Twin Warehousing. Aziro uses edge inference and predictive ETA models to coordinate fleets with minute-level accuracy—cutting delays and improving supply chain transparency.

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Telematics packets stream into a geospatial graph DB that solves multi-objective TSP variants. SD-WAN edge nodes apply QoS and AES-GCM tunnels for low-latency command/control. Vision-guided AMRs sync with WMS via ROS2 for warehouse picking. This integrated approach accelerates fulfillment cycles, enhances operational resilience, and ensures secure, real-time coordination across distributed logistics assets.
Retail IT Operations
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Warehouse Throughput Gain

AMRs and vision QC compress dwell time; SLA penalties disappear. Automated coordination streamlines every picking and packing step, maximizing operational efficiency.

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Fewer Mechanical Failures

Vibration inference schedules maintenance before breakdown. Predictive analytics help extend asset lifespan and reduce costly unplanned downtime.

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Customs Compliance

Chain-of-custody proofs auto-generate digital HS codes. Automated documentation minimizes manual errors and accelerates cross-border shipments.

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Faster Exception Alerts

Event mesh pings stakeholders before KPI breaches occur. Proactive notifications enable rapid intervention, preventing small issues from escalating into major disruptions.

Ai-Led Outcomes.

Human-Centric Impact.

From Fortune 500s to digital-native startups — our AI-native engineering accelerates scale, trust, and transformation.

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Case Study

Unified AI-Augmented App Stack for an eCommerce Leader

Aziro delivered multiple cross-platform apps using ML-assisted code generation and real-time CI observability — enabling seamless integration across mobile, analytics, and operations layers.

5

Projects Delivered across brands

4+

Full-stack delivery with AI-led velocity

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Case Study

Autonomous, Private QA Agents for a Networking Giant’s Enterprise Testing

Aziro deployed local LLM-powered QA agents that auto-generated, optimized, and executed test scripts across critical software stack — without internet connectivity or cloud dependence.

80%

Reduction in manual testing

100%

Private, on-prem inference

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Case Study

AI-Led Payment Automation for a FinTech Leader

Aziro implemented an intelligent payment orchestration system powered by cognitive workflows and embedded anomaly detection, ensuring zero reconciliation errors across the financial lifecycle.

60%

Boost in processing speed

100%

Accuracy in audit reconciliation

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Case Study

Predictive Storage Intelligence for a Data Storage Leader

Aziro built an AI-powered observability layer that predicts bottlenecks, allocates resources dynamically, and enhances decision-making with ML-based usage trends.

30%

Gain in storage efficiency

24/7

Continuous AI-driven insights & alerts

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Case Study

AI-Enabled Claims Automation for an Insurance Giant

Aziro deployed a scalable, AI-native claims management platform with predictive triage, automated case routing, and observability built into the core — all running in a cloud-agnostic environment.

40%

Reduction in infra cost

99.9%

Uptime with intelligent failover

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Case Study

Scaling AI-Native Engineering

Aziro built a cross-functional engineering squad embedded with AI-augmented DevOps pipelines, reducing release cycles and delivering UI-rich SaaS modules at scale.

5x

Team growth in under 12 months

10+

AI-accelerated product modules shipped

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Aziro has been a true engineering partner in our digital transformation journey. Their AI-native approach and deep technical expertise helped us modernize our infrastructure and accelerate product delivery without compromising quality. The collaboration has been seamless, efficient, and outcome-driven.

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