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ManufacturingReference Solution

FactoryFlow Ops

Machinery telematics monitors, predictive maintenance alerts, and automated work orders.

Next.jsReactNode.jsPostgreSQLDockerAWS

Project Specifications

Duration

4 Months

Team Size

3 Developers

Launched

2025 Launch

🔵

Status

Reference Solution

🖥 Product Gallery
Machinery telematics and performance dashboard charts
Machinery telematics and performance dashboard charts
Screen 1 of 2

Machinery telematics and performance dashboard charts

Case Study

The Narrative

An executive deep dive tracing operational objectives, challenge landscapes, and delivery outcomes.

IndustryManufacturing
Timeline4 Months
Team Size3 Developers
Launch Year2025 Launch
Status🔵 Reference Solution

01 / Project Overview

FactoryFlow Ops tracks manufacturing equipment telematics, schedules maintenance activities, and automates work order dispatching to prevent assembly line disruptions.

02 / Business Challenge

Unplanned equipment breakdowns and paper log sheets resulted in assembly shutdowns, billing backlogs, and manual scheduling delays.

03 / Objectives

Ingest factory machinery telemetry to enable predictive maintenance alerts, reducing unplanned assembly line shutdowns by 50% and saving 40 engineering hours monthly.

04 / Our AI Solution

We created a telemetry dashboard that ingests machine data, schedules maintenance work based on runtime metrics, and triggers alerts for plant technicians.

05 / Implementation Journey

We designed a low-latency MQTT broker system that aggregates telemetry streams from machinery sensors and triggers real-time Slack/SMS alerts for technicians when threshold exceptions occur.

06 / Business Outcome

Reduced unplanned factory downtime by half, eliminated paper maintenance logs, and improved maintenance compliance.

Engineered Value

Core System Features

Custom engineered software nodes mapping specific operational problems to engineering resolutions.

Sensor Telematics Ingestion

Ingests machine diagnostics data via MQTT protocols.

Business ValueCaptures raw machine diagnostics streams without performance lag.

Rule-Based Alert Engine

Dispatches alerts to technician phones when performance thresholds are exceeded.

Business ValueHalves machinery downtime by alerting technician staff before failures happen.

Auto Maintenance Planner

Calculates maintenance dates using machine runtime records.

Business ValueStreamlines maintenance compliance by calculating schedules from machine runtime data.
System Execution

System Architecture

Data pipeline flow maps showing inputs translating down through vector stores and execution API layers.

1

Diagnostics Ingestion Handler

Processes telematics streams and updates state databases.

2

Schedule Calculation Engine

Computes upcoming service dates based on machine configurations.

3

Technician Maintenance Hub

Next.js responsive console for scheduling inspections and filing repair reports.

Project Outcome

Results & Impact

Measurable performance metrics and operational throughput scaling indicators registered post-launch.

Reference Solution Benchmark

Reduced unplanned factory downtime by half, eliminated paper maintenance logs, and improved maintenance compliance.

OUTCOME LEDGER: PSX-FACT-2026ACTIVE SYSTEM
50%Less Machinery Downtime
✓Saved 40 Staff Hours/Month
99.8%Telemetry Sync Rate
✓Improved Audit Readiness

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AI Advantage

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AI Agents•Knowledge Systems•Workflow Automation
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