With thousands of products, constantly evolving assortments, and customers shopping for different occasions and needs, surfacing the right products at the right moment became increasingly important.
Traditional ranking models often rely heavily on clicks, making it difficult to account for factors such as stock availability, product newness, revenue performance, and changing customer intent.
With Voyado, H&M gained the ability to incorporate a much richer set of signals into search and ranking, including:
- Purchases
- Add-to-bag behavior
- Revenue performance
- Product newness
- Stock availability
- Customer intent signals
- Real-time ranking updates
- Flexible merchandising and curation
This gave H&M a more complete understanding of what customers were looking for and how products were performing, helping the retailer create experiences that feel more relevant, more responsive, and more aligned with customer intent.
Result
30% reduction in exits, helping customers stay engaged and continue their shopping journey.