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.

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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

Define
Bundles

Pick target categories and attach goals.

Days 2-3

Connect Catalog & Events

Sync products, prices, and cart events.

Days 4-5

Tune & Preview

Balance margin, UX, and relevance.

Days 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.

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Engineered for production

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

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Build in-house

with Shaped

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.

One Model, Every Surface

Upsell models learn from behavior across browsing, search, and email — so the add‑ons shown at checkout are informed by everything a user has done, not just what’s in the cart right now.