Case Study: AI Data Dashboard & Automation System for Bel Cheese

Overview

Bel Cheese, a global food manufacturer, wanted to centralize data from multiple systems and create a real-time dashboard for production, logistics, finance, and marketing.

Challenge

Bel operated in 40+ countries with fragmented systems:

  • SAP for finance
  • Excel-based production files
  • Distribution spreadsheets
  • Manual sales reports
  • No unified data dashboard
  • Slow reporting delays

Data was siloed, outdated, and inconsistent.


Solution: IAI Unified Data Intelligence Platform

1. AI Data Ingestion Pipeline

We built automated connectors to pull data from:

  • SAP
  • Distribution partners
  • Retail POS systems
  • Manufacturing equipment
  • Google Analytics
  • Shared drives (PDF, CSV, Excel)

2. Centralized Enterprise Dashboard

The dashboard included:

  • Real-time production status
  • Sales forecasting
  • Inventory tracking
  • Logistics delays
  • Waste levels
  • Plant efficiency metrics
  • SKU performance by region

3. AI Auto-Summaries & Alerts

AI sends alerts when:

  • Inventory falls below safe level
  • A factory has downtime
  • Forecast drops
  • A SKU underperforms

It also creates:

  • End-of-day summaries
  • Weekly reports
  • Automatic executive insights

4. Data Governance & Security

All data is stored in a governed warehouse with role-based visibility.

Results

  • One global dashboard for all teams
  • 84% faster decision-making
  • Real-time forecasting for all markets
  • Eliminated manual Excel reporting

Client Feedback

“We finally have one source of truth. AI gives us insights before our team even asks for them.”

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