Technology — ManufacturingWeb · AI
Sole engineer
Built demo end to end

KaizenFlow AI pays for itself on the factory floor

KaizenFlow AI pays for itself on the factory floor
KaizenFlow AI pays for itself on the factory floorWeb · AI
01

The Story

KaizenFlow AI watches a factory the way a tireless plant manager would, except it never blinks. It plugs into the systems a plant already runs on, reads production as it happens, and goes looking for the money leaking out of the line.

When it finds a bottleneck or a quality problem it doesn't just flag it. It writes a clear improvement suggestion, shows the evidence behind it, estimates the dollar impact, and then — crucially — tracks whether the fix actually worked, feeding that verdict back into its next round of advice.

KaizenFlow analytics dashboard with a costed improvement suggestion and its supporting production data

The demo runs on real data, not mock-ups. An AL extension seeds a live Microsoft Business Central ERP, an MQTT broker streams factory telemetry, and every number on the dashboard traces back to a real record moving through the pipeline within minutes.

Designed and built solo in about four months: a FastAPI backend with 100+ endpoints, a Next.js app of 160+ screens, 50+ enterprise integrations, and 78+ analysis engines behind a LangGraph reasoning agent.

02

By the Numbers

242
Commits
50+
Integrations
78+
AI engines
~4mo
Solo build
03

Behind the Build

The demo had to run on real ERP data, not sample CSVs. Business Central runs on a separate Windows host, speaks a niche AL extension language, and exposes OData that doesn't map cleanly to manufacturing KPIs.

Instead of faking it I went end to end: an AL extension seeds real master data, custom OData pages expose it, a Python connector translates it into KaizenFlow metrics, and an in-BC job queue posts realistic production every 15 minutes. When the connector silently died on a VM restart, I built auto-recovery that detects the dead path and restores it — no missed demo.

04

Highlights

FastAPI backend, 106 REST endpoints
160+ screen Next.js dashboard
50+ enterprise integrations
78+ analysis engines (RCA, SPC, OEE)
Live MQTT IoT telemetry pipeline
LangGraph agent with closed-loop feedback
Zero-downtime CI/CD with TLS
05

The Stack

AI — LangGraph · reasoning agent · 78+ analysis engines · RCA · SPC · OEE · closed-loop feedback

Backend — Python · FastAPI · 106 REST endpoints · TimescaleDB · PostgreSQL · Kafka

Frontend — Next.js · React · TypeScript · 160+ screens

Factory — Microsoft Business Central ERP · AL extensions · OData · MQTT · IoT telemetry · Python connector

Infra — zero-downtime CI/CD · TLS · auto-recovery watchdog · 50+ enterprise integrations

06

Links