Warehousing
WMS integrations, IoT automation data, and real-time inventory analytics built for warehouse operators on AWS.
Warehouse operators are accelerating automation adoption, managing complex WMS integrations, and facing growing pressure for real-time inventory accuracy across multi-client environments. Cloud Life Consulting builds AWS infrastructure that connects warehouse automation systems to cloud analytics and enables the operational intelligence modern warehousing demands.
By the numbers
Real-time
Inventory and pick operation visibility using AWS IoT Core and Kinesis for connected warehouse infrastructure
40%
Reduction in pick errors after implementing real-time inventory analytics and automation guidance on AWS
99.99%
Uptime for WMS and order management systems on AWS multi-AZ high-availability infrastructure
What we build for you
WMS integrations connecting Manhattan, Blue Yonder, and HighJump to AWS data and analytics infrastructure
IoT automation data pipelines using AWS IoT Core for conveyor, sorter, and robotics telemetry
Real-time inventory analytics using Amazon Kinesis and QuickSight for pick accuracy and throughput data
Multi-client data architecture with strict tenant isolation for 3PL and contract warehousing operations
Generative AI on AWS
Cloud Life helps warehouse operators deploy Amazon Forecast and SageMaker for demand-driven slotting optimization, pick path intelligence, and AI-powered labor scheduling.
Cloud Life builds AWS infrastructure for warehouse operators managing WMS integrations, automation data, and real-time inventory analytics.
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