Zotasell Evolution

Recommendation Logic

• Prioritizes products most likely to be accepted as upsells
• Balances relevance with real sales performance

Fresh Data Scanning

• Shoppers interests during each session
• Realistic price range for add-on purchases
• Well-performing products in actual sales
• New products/collections
• Merchant strategies, promotions & seasonal goals

Context-Aware Recommendations

Vega V2 automatically adapts recommendation behavior based on placement:

• Product browsing
• Cart and pre-checkout
• Add-ons, cross-sells, and bundle pairings

Hybrid Model: AI + Manual Rules

AI handles:

• Product relevance
• Ranking based on live performance data

Manual rules allow merchants to:

• Override AI suggestions when needed
• Enforce business logic such as priority products, campaigns, or seasonal goals

The system intelligently balances:

• Automation for scale
• Control for strategy

Advanced Bundle Capabilities

Support for multiple bundle types:

• Mix & Match bundles
• Free gift bundles
• Discounts

Create and manage multiple bundle strategies from a single configuration flow

New Upsell Placement: Cart Drawer

• Displays relevant add-on products without redirecting to a separate cart page
• Leverages existing AI logic to recommend “Frequently bought together”

New Analytic Metric

Introducing a new performance indicator that shows how much revenue is directly driven by upsells.

Metric definition:

Upsell Revenue Contribution (%) = Upsell Revenue / Total Store Revenue

Performance & Scalability Improvements

• Optimized for large catalogs and high traffic
• Stable under peak load
• No negative impact on storefront speed