Problem

• Blind Spots in Inventory: Manual logs and siloed scales led to inaccurate scrap levels and lost loads.

• Error-Prone Processes: Paper tickets and ad-hoc scans caused frequent misroutes and delays.

• Rigid Infrastructure: Onboarding new scrap flows (hoppers, piles, truck pickups) took weeks.

Solution

Edge-to-Cloud IoT Pipeline

• Scales publish weight + connectivity events via a lightweight gateway → AWS IoT Core.

• Batched, enriched payloads trigger serverless Lambdas for persistence and routing.

Rule-Driven Orchestration

• Generic Container & Load models capture every scrap movement.

• Sidecar service evaluates capacity-based rules and uses a binload aggregator to avoid race conditions.

Auto-Generated APIs & Monitoring

• Apso-powered Postgres schemas + OpenAPI CRUD endpoints.

• CloudWatch dashboards & SNS alerts track device health and inventory.

Outcome

• 99.5% Reduction in Manual Errors by eliminating paper logs.

• Real-Time Accuracy across all containers—live dashboards for operations.