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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