Case Study / Industrial Automation & IoT

Smart Factory Automation Platform — Probat Coffee

Probat Coffee needed better visibility across a factory floor that still depended on local machine controls. Floges built a browser-based layer over industrial PLCs so operators could watch production state, switch recipes, and respond faster without replacing the core machinery.

Client: Probat Coffee Industry: Manufacturing & Industrial Automation Region: United States Delivery: Web-Based Automation Platform
Probat Coffee smart factory automation platform
3 Months
Initial Dashboard MVP
12 Months
Full Automation System
Real-Time
Production Visibility

Production processes at Probat were managed through manual local controls. Operators had no centralized view of factory-wide production status, recipe compliance, or equipment states. The client needed a system that could integrate with existing industrial PLCs, visualize production workflows in real time, and adapt dynamically to recipe-based process variations — without sacrificing reliability or safety.

Every recipe change required manual reconfiguration at each station. There was no way to confirm that a station was running the correct parameters without physically walking to it. That created compliance risk and production inefficiency at the same time.

1. Diagnose Signal · Locate · Orient · Root

Mapped the production floor control flow. Operators were managing each machine locally with no cross-machine state visibility. Recipe variation required manual reconfiguration at each station.

2. Architect Frame · Calibrate · Blueprint · Define

Scoped the MVP around a PLC communication layer and a web dashboard for real-time visualization. Recipe management and automated alerts were phased into subsequent sprints.

3. Forge Engineer · Synthesize · Construct · Execute

Built the middleware layer connecting the web platform to PLCs using industrial communication protocols. Dynamic dashboards visualize workflow progress per station. Production data logged automatically.

4. Deploy Activate · Commission · Ignite · Release

Launched the initial dashboard MVP in 3 months to a pilot group of operators. Feedback loop built into the sprint process for rapid iteration.

5. Compound Evolve · Calibrate · Refine · Optimize

Extended over 12 months to include full recipe-based automation, predictive maintenance alerts, and production analytics dashboards.

PLC Integration Layer
Direct web-to-PLC communication for real-time machinery control.
Recipe-Based Process Automation
Dynamic process flows that adapt to each production recipe automatically.
Real-Time Production Dashboard
Live visualization of workflow progress, device states, and station status.
Automated Reporting
Production data logged and compiled into shift and daily reports automatically.
Alert and Anomaly Detection
Threshold-based alerts for equipment deviation and recipe variance.

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