Real-Time Inventory Layer
DynamoDB or Aurora tracks quantity, location, and status of every SKU, enabling instantaneous inventory sync and order state transitions.
From check-in to dispatch, get real-time inventory visibility and report generation. Automate warehouse operation that scales without breaking.
Smart Inventory Tagging:
Every item is tagged with a barcode or digital locator, enabling instant identification, physical mapping, and status sync across backend systems.
Location-Aware Picking:
Mobile alerts and IoT-enabled rack systems direct warehouse staff to exact product positions, reducing search time and pick errors.
Multi-Package Order Tracking:
Track how individual packages within a multi-item order move through the warehouse, from inbound shelving to outbound dispatch.
Ensure consistent stock visibility across distributed storage zones without periodic reconciliation.
Guided interfaces that adapt to real-time changes in order volume and stock movement.
Track product movements, from inbound stocking to outbound shipping, with live audit trails.
Capture full traceability, who stocked, who picked, and when, with zero manual reconciliation.
Automate exception handling with preemptive routing of missing items, incomplete picks, or duplicate scans.
Synchronize physical signals, mobile alerts, and backend events to streamline human-machine coordination on the warehouse floor.
DynamoDB or Aurora tracks quantity, location, and status of every SKU, enabling instantaneous inventory sync and order state transitions.
Lambda functions with Step Functions orchestrate inbound, picking, and outbound flows with millisecond-level reactivity.
Enable sub-second indexing, filtering, and analytics on high-volume warehouse data across global zones.