A new industry survey reveals that 60% of major Australian retailers have adopted AI-powered demand forecasting systems, with significant improvements in inventory management reported.
Survey Findings
Adoption Rates
- Large retailers (>$100M revenue): 78% AI adoption
- Mid-market ($20-100M): 52% AI adoption
- Small retailers (<$20M): 28% AI adoption
Reported Benefits
Users report substantial improvements:
- Stockout reduction: 35% average decrease
- Overstock reduction: 28% average decrease
- Forecast accuracy: 22% improvement over traditional methods
- Working capital: 18% reduction in inventory investment
Implementation Patterns
Popular Approaches
- Cloud-based platforms: 65% of implementations
- ERP-integrated modules: 25% of implementations
- Custom solutions: 10% of implementations
Data Sources Utilised
- Point of sale data
- Weather forecasts
- Social media sentiment
- Economic indicators
- Promotional calendars
Challenges Reported
Adoption barriers include:
- Data quality and integration complexity
- Staff training and change management
- Initial accuracy calibration period
- Cost justification for smaller operators
Outlook
Analysts predict 80% adoption among mid-to-large retailers by 2027, driven by increasingly accessible cloud-based solutions and proven ROI.