# Cart Upsell that feels helpful, not pushy

Increase order value with add-ons and bundles that make sense for each shopper, at the right moment in checkout.

## Solutions for every platform

**Intent-aware**  
Use cart contents, history, and context to suggest what actually helps.

**Margin-smart**  
Respect inventory, margin, and promo constraints automatically.

**Frictionless**  
Inline UI patterns for cart and checkout that don’t slow users down.

**Scale without limits**  
Keep recommendations fast, relevant, and cost-efficient as your goals grow, no re-engineering required.

Get started this week

Day 1  
1  
Define  
Bundles  
Pick target categories and attach goals.

Days 2-3  
2  
3  
Connect Catalog & Events  
Sync products, prices, and cart events.

Days 4-5  
4  
5  
Tune & Preview  
Balance margin, UX, and relevance.

Days 6-7  
6  
7  
Go Live  
Monitor AOV & attach; iterate weekly.

Plugs into your workflow

Integrate via API or batch. Keep your current analytics and experimentation setup, or use Shaped’s built-in tools for end-to-end measurement.

Engineered for production

Low-latency APIs, SDKs in your language, and enterprise-grade SLAs, documented and ready for engineering teams.

Build in-house with Shaped

**Time to first experiment**  
6–12 months to build infra before testing ideas  
~7 days to run your first experiment

**Iteration speed**  
Slow — pipeline changes, retraining, and deployment cycles  
Rapid — deploy and measure new experiments instantly

**Team required**  
ML engineers, infra engineers, product, data science  
1 engineer to integrate

**Upfront cost**  
$500k–$1M+ in salaries & infra  
Subscription pricing

**Maintenance**  
Continuous tuning, scaling, bug fixes  
Fully managed by Shaped

**Cold start**  
Weeks or months to gather enough data  
Solved from day one

**Cross-surface learning**  
Siloed models per surface  
One model that learns from every signal

Faster experimentation, proven KPI lift, and no infra burden, so your team can focus on what matters: shipping product, not pipelines.

### Ship Cart Upsell in one sprint
- **Step 1: Connect your data**  
All you need are user interactions and (optionally) item metadata. No complex data pipelines or feature engineering required.

- **Step 2: Configure your feed**  
Define your feed in minutes with a simple config—no custom ML models or tuning cycles. Shaped handles the hard parts for you.

- **Step 3: Deploy automatically**  
Shaped trains, schedules, and scales your feed to production. Your team ships in weeks, not months—without adding infra or ML hires.

## More Use Cases:
- **Baselines**  
Explore rule-based models like Popular, Trending, and Chronological rankings.

- **Boosting**  
Learn how to promote specific items intelligently within personalized rankings.

- **Cart Upsell & Cross-Sell**  
Boost AOV with intelligent upsell and cross-sell recommendations in the shopping cart.

- **Conversational Recommenders**  
Building personalized conversational AI assistant experiences.

- **"For You" Feeds**  
Build dynamic, personalized feeds like TikTok or Instagram Reels.

- **Grid Ranking**  
Create personalized grids like Netflix with ranked rows and columns.

- **Item Cold Start**  
Handle new items intelligently with attribute-aware ranking models.

- **Who to Follow**  
Suggest relevant users to follow on social platforms or marketplaces.

- **Category Pages**  
Re-rank items within categories based on user preferences.

- **Email**  
Deliver personalized recommendations in email campaigns.

- **Notifications**  
Send relevant, personalized notifications to engage users.

- **Product Detail Pages**  
Show similar items on PDPs to keep users engaged.

- **Product Recs**  
Build personalized product recommendations for e-commerce.

- **Related Content**  
Keep users engaged with relevant related content suggestions.

- **Item Reranking**  
Re-rank pre-selected items (e.g. from search) based on user preferences.

- **Hybrid Search**  
Combine keyword search with personalized ranking for better results.

- **Similar Users & Items**  
Find similar items or users for personalized recommendations.

- **User Cold Start**  
Provide relevant recommendations for new or anonymous users.

- **User Interest Ranking**  
Rank items based on user attributes, stated interests and session context.

- **User & Item Embeddings**  
Leverage embeddings for advanced recommendation strategies.

- **Watch Next Carousels**  
Suggest the perfect next video to keep users engaged.

# Ready to hit your growth goals?

Get a tailored walkthrough with your KPIs.