Manufacturing & Logistics

AI-Powered Analytics Dashboard

Industrial manufacturer

A real-time analytics platform that improved decision-making speed by 60% across production and supply chain.

faster decisions
60%
faster decisions
data sources unified
12
data sources unified
less unplanned downtime
8%
less unplanned downtime
  • React
  • Python
  • TensorFlow
  • Apache Kafka
  • Google Cloud
AI-Powered Analytics Dashboard case study

The Challenge

Production data lived in a dozen systems — PLCs, ERP, quality logs, spreadsheets. By the time analysts assembled a weekly report, the information was stale and the opportunity to act had passed.

Our Solution

We built a streaming data platform on Kafka that unifies twelve sources into a live operational picture: real-time OEE and quality dashboards, anomaly detection on sensor streams, and ML-driven maintenance predictions with plain-language explanations operators actually trust.

The Results

Decision-making speed improved by 60% — issues that once surfaced in weekly reviews now trigger same-shift responses. Predictive maintenance cut unplanned downtime by 8%, and the weekly reporting ritual was retired entirely.

Services delivered