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AI PRODUCT RECOMMENDATION FOR SHOPIFY STORE

Personalize product discovery from the very first visit

TasteQ adapts product recommendations to what each shopper is exploring, so the next product feels relevant from the very first visit.

Built on product understanding. No purchase history required.

Start for free on Shopify ↗Book a demo

shop.example / products / basil-pesto

SHOPIFY STORE

Shop · Our story · Bag (1)

PANTRY ESSENTIALS

Basil pesto

Fresh basil, a savory finish. Make tonight’s meal your own.

$12.00

Add to bag +

Exploring flavors

Garlicky Tomato & herbs

Browsing garlic-forward favorites

Picked for your pantry

Personalized by Product Intelligence™

Garlic olive oil

Garlic-forward · $16

Artichoke spread

Savory & creamy · $10

Tomato basil sauce

Tomato & herbs · $12

Basil pesto duo

More fresh basil · $22

Trusted by 100+ merchants worldwide

How TasteQ works

TasteQ builds an understanding of your catalog,
interprets shopper intent as it happens,
and uses both to deliver relevant product recommendations
throughout the shopping journey.

01.

Connect
Your Shopify Store

Get started in under 10 minutes with no custom code required.

02.

Understand
Products & Shopper Intent

TasteQ maps product attributes and relationships across your catalog while interpreting real-time shopper signals.

03.

Match With Taste Intelligence™

TasteQ connects what each shopper appears to value with the products in your catalog that best fit their current intent.

04.

Personalize Key Shopping Moments

Deliver relevant recommendations across your homepage, product pages, cart, and other supported discovery touchpoints.

PRODUCT INTELLIGENCE

Personalization that starts sooner and gets smarter over time

TasteQ starts with product intelligence, then adds real-time shopper context as each session unfolds—so recommendations don't have to depend solely on a large historical customer dataset.

Start With Less Historical Data

TasteQ begins with product understanding, helping new visitors discover relevant products without relying on an extensive purchase history.

Smart optimization for every stage of the journey

TasteQ responds to what shoppers explore in the current session, allowing recommendations to reflect changing intent as it happens.

Get more context over time

Build on every interaction to make the next recommendation more relevant. TasteQ continuously learns from shopper behavior, helping you turn one-time purchases into repeat business and lasting customer value.

Relevant product discovery across shopping journey

Bring TasteQ-powered recommendations into key shopping moments from first discovery to high-intent cart interactions.v

Home Page

Surface products that reflect what each shopper appears interested in as they explore your store.

Product Pages

Help shoppers discover products that fit their current intent while they evaluate a purchase.

Cart

Surface complementary products at a high-intent moment without distracting from checkout.

Repeat Visits

Build on previous interactions to make product discovery more relevant as shoppers return and continue exploring.

Post-Purchase

Keep discovery going after checkout with relevant products that create opportunities for the next purchase.

Search & Discovery

Help shoppers move beyond exact keywords by connecting their intent with relevant products across your catalog.

Why TasteQ is different

Traditional Engines
- Needs 3-6 months of order history to work well
- Only matches "frequently bought together" patterns
- Flat monthly free, regardless of results

Product-First Intelligence

Understand product attributes and relationships without depending solely on historical shopper behavior.

Real-Time Shopper Intent

Respond to what shoppers are exploring now, adding current-session context to product recommendations.

Built for Growing Ecommerce Teams

Start from day one and manage personalization without building an in-house recommendation system.

The Technology Behind TasteQ

TasteQ’s proprietary ontology technology structures product attributes, context, and relationships across your catalog into a product intelligence layer. This helps connect what each shopper appears to value with products that share relevant characteristics.