Omnichannel personalized recommendation and smart cross/up-sell engine
Phong Vu · Posted 2 months ago
Retail and e-commerceRecommendation Systems / Personalization
- Budget
- To be determined
- Timeline
- Not specified
- Closed on
- 31 Jul 2026, 16:59 ICT
Problem statement
Customer experiences are generic because behavioral and purchase data is not optimized into real-time personalized bundles and recommendations.
Expected outcomes and success metrics
- Increase average order value by 12-15%.
- Increase recommendation engagement across homepage, listing, and cart touchpoints.
- Support repeat purchase and customer retention through individual shopping profiles.
---
*Track: Retail | Sponsor: Phong Vu | Slug: retail:personalized-recommendations | Source: Agentic AI Build Week 2026 — Production snapshot 2026-08-11*
Current process
Customer experiences are generic: behavioural and purchase data is not turned into real-time personalised bundles and recommendations.
Relevant AI technologies
Recommendation Systems / Personalization