AI-Powered Operations Visibility Across Multi-Site Manufacturing

Sector
Manufacturing

Format
Two-Phase Platform Build

The Problem

A manufacturing business across two major sites had no centralised operational visibility. Reporting was manual and reactive. Supplier follow-up fell through the cracks. Delivery risk was invisible until it was too late.

What Mode AI Delivered

01

Operational Visibility Platform

Built a centralised operational dashboard and management reporting system across two manufacturing sites.

02

AI Intelligence Layer

Added an AI layer including supplier follow-up automation, predictive delivery risk modelling, and live financial integration.

03

Two-Phase Deployment

Delivered the solution in two phases, separating core reporting from advanced AI capability.

04

Secure Cloud Infrastructure

Hosted the platform on AWS Sydney to support data sovereignty requirements.

Our Approach

Mode AI designed and deployed a two-phase platform to address fragmented operational visibility across two manufacturing sites. Phase 1 focused on establishing core dashboards and structured management reporting to replace manual, reactive reporting processes. Phase 2 introduced an AI intelligence layer, including an LLM-powered supplier follow-up system, predictive delivery risk modelling, and live financial integration. The system was hosted on AWS Sydney to meet data sovereignty requirements, and was designed to integrate into existing operational workflows without disruption.

What Changed

From Reactive to Predictive

Leadership moved from reactive reporting to forward-looking operational visibility.

Automated Supplier Follow-Up

Supplier follow-ups became automated through an AI-powered system.

Earlier Risk Detection

Delivery risk is now identified before it impacts operations.

Centralised Operational Visibility

Operational reporting across two sites became unified in a single platform.