Field Service Management > Field Service Management with Serverless and AI

Field Service Management

Field Service Management with Serverless and AI

Power end-to-end field operations with live job scheduling, fleet tracking, driver monitoring, and real-time status sync, all backed by a serverless architecture that adapts instantly to field changes.

Dynamic Scheduling Engine

Dynamic Scheduling Engine:

Reschedule jobs, edit tasks, and reassign agents in real time through an interactive, map-linked calendar view

Live Fleet & Driver Monitoring

Live Fleet & Driver Monitoring:

Track vehicle locations and agent statuses in real time with autosaved dashboards that unify GPS and dispatch data.

Unified Operational Data Hub

Unified Operational Data Hub:

Import jobs, customers, and invoices via CSV or API into a central, editable, and autosave-enabled workspace

Make your Field Service Management Real-time, Connected, and Future-ready

Real-time dispatch, GPS, and timesheet sync between field agents and control center.

Schema-flexible backend for evolving job types, assets, and regional workflows.

Zero-downtime updates using event-driven, auto-scaled serverless architecture.

Centralized dashboard with live autosave, search, and full edit capabilities.

Streamlined data ingestion from GPS logs, CSVs, invoices, and third-party tools.

Scalable CI/CD workflows for rapid, testable feature deployment.

AntStack Solves for You

Pipeline

Serverless Core Infrastructure

Node.js + AWS Lambda stack with EventBridge orchestration, SQS queues, and DynamoDB-backed workflows.

CDN Sync Engine

Multi-Source Data Ingestion Pipeline

Unified import flow for GPS logs, CSVs, invoices, and APIs with validation, field mapping, and error reconciliation.

Automation Layer

CI/CD & Deployment Automation

Jenkins pipelines with Jest tests and one-click deploys to S3 + CloudFront.

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