AB InBev Case Study • Vision Suite & Predictive Analytics
Case Study:
AB InBev
Improving quality, efficiency, and reducing costs across AB InBev’s production lines.
AB InBev Case Study: Optimizing Production Efficiency
🏭 Operational Challenge
Often, oil refineries operate in high temperatures, where one small failure can lead to catastrophic breakdowns, endangering staff and halting operations. Operators are often responding to issues after they occur, rather than acting before breakdowns happen.
☑️ Applicable Solutions
- ☑️ Vision Suite: Crate Inspector
- ☑️ Vision Suite: Closed Loop Rejection
- ☑️ Operations Suite: Shift Reports
- ☑️ Operations Suite: Operator Logbook
- ☑️ Predictive Analytics: Thermal & Condition Monitoring
💰 Business Impact
- 💰 Eliminates manual QC bottlenecks
- 💰 Enables rapid brand changeovers
- 💰 Enhances compliance and traceability
- 💰 Optimizes maintenance scheduling
📊 Quantifiable Metrics
- 📊 99.99% inspection accuracy at 7,200 crates/hour
- 📊 99.99% rejection accuracy on conveyors at 1m/s
- 📊 Total crates scanned: ~750,000 (monthly / line)
- 📊 Total bottles scanned: ~8.8 million (monthly / line)
- 📊 Total bottles scanned: ~2.1 billion (annually, 30 lines)
ROI Highlights
7,200 Crates / Hour
Handles single or dual conveyors at up to 1 m/s.
99.99% Inspection Accuracy
Detects bottle presence, fill level, and crate defects in real time.
99.99% Rejection Accuracy
Rejects crates not meeting quality standards. No sensors required.
83,000 Crates Rejected
Crates automatically rejected per year on average (per line).
$415k Avoided Loss
Estimated savings (per line) from accurate rejection and inspection.
$12.5M Avoided Loss
Annual savings from automated inspection (across 30 lines).
