Challenge
A leading retail group in Australia and New Zealand was still running a growing product sampling program through manual coordination. Each campaign required teams to match products to eligible members, apply allergen and store rules, and stay within budget across multiple markets.
That process could not keep up with the scale of the program. Launches were slow, manual effort was high, and the team had little room to expand into more campaigns or smaller customer segments.
Approach
Unlocq.ai built an automated sampling engine that handled the end-to-end campaign workflow.
The solution combined:
- BigQuery for campaign data preparation and eligibility logic
- Airflow and Google Cloud Composer for orchestration across weekly and ad hoc runs
- ALS-based collaborative filtering to score member-product affinity
- Salesforce integration to push allocations back into downstream campaign operations
The retailer could move from spreadsheet coordination to a repeatable system that applied business rules, generated allocations, and supported both high-volume and niche campaigns.
Results
- 95% reduction in manual allocation work
- 3x faster campaign turnaround
- 500,000+ members served through automated sampling
- AU/NZ coverage across the full campaign program