Manage it in Shopify
Management is embedded directly in Shopify admin. Customer intelligence, conversational shopping, and checkout personalization are managed together.
Recommendation Intelligence
Put the next best product in the next best buying moment.
Personalized recommendations from discovery through checkout help increase basket size and product revenue. Use product, session, and permitted customer context, with useful recommendations from day one.
- Useful from day one
- No retailer-specific training cycle
- Customer-aware
- Commerce-aware
- Works with supported existing systems
- Measured against business outcomes
Explore your AOV opportunity without changing your store. Qualified retailers may receive up to one month of complimentary full-platform access, subject to fit review, approval, and capacity.
Shopify-native customer intelligence
Grow order value. Keep setup simple.
Self-service setup and management, with no consulting engagement or complex deployment required.
Configure it yourself
Simple buttons and text fields let your team configure the experience, including chat. You control the settings and appearance.
Make it part of your storefront
Liquid storefront components bring the experience into your store. Checkout personalization uses supported Shopify placements under your rules.
Keep the tools you use
Works with existing marketing, recommendation, and support tools through supported integrations. Full Platform provider features require a connected account and your authorization.
The Retailer Problem
Personalization should continue through checkout.
The basket reveals immediate buying intent. Use cart contents, complementary-product relationships, permitted customer context, price relationships, inventory, and retailer rules to choose a relevant final addition.
What better looks like
Add the right product without adding friction. Checkout is a placement within Recommendation Intelligence, subject to supported Shopify placement and store configuration.
Every Buying Moment
Recommendations should follow the buying journey.
Carry personalization from discovery through checkout, with retailer-controlled placement and measurement.
Discovery
Help shoppers find more of what they want.
Rank relevant products using catalog relationships and available shopping context.
- Relevant products
- Higher-value alternatives
Product Detail
Show what completes the choice.
Surface complementary products, alternatives, and complete-the-look suggestions while shoppers evaluate an item.
- Product affinity
- Complementary items
Conversation
Use the intent shoppers tell you directly.
Turn stated needs, budgets, and product constraints into more relevant recommendations.
- Explicit buying intent
- Product combinations
Cart
Recommend what belongs with this basket.
Use current cart contents to rank useful accessories, bundles, and replenishment items.
- Cart cross-sell
- Retailer eligibility and inventory rules
Checkout
Make the final addition relevant.
Use product relationships, price, inventory, permitted customer context, and retailer rules to choose a final cross-sell. Checkout remains a placement within Recommendation Intelligence, subject to supported Shopify placements and configuration.
- Personalized checkout recommendations
- Measure added AOV alongside conversion and margin
Relevant From Day One
Make recommendations useful before deep history accumulates.
Pretrained intelligence creates the starting point. Shared Customer and Commerce Intelligence makes the decision more relevant to the shopper and more accountable to the business.
Day-One Value
Don't wait months for recommendations to become useful.
Start with pretrained intelligence and useful catalog relationships instead of waiting for a retailer-specific model to gather enough history. Ranking can continue to improve as real shopper and commerce outcomes accumulate.
- Catalog relationships and deterministic scoring
- Pretrained multilingual embeddings
- Cold-start capability
- Useful before deep retailer interaction history accumulates
Customer Intelligence
Recommendations informed by the customer, not just the product.
Where configured and permitted, shared Customer Intelligence can add customer, lifecycle, behavioral, and preference context to the ranking decision. The result can reflect more than what similar shoppers clicked in the past.
- Customer and lifecycle context
- Behavioral and session context
- Known preferences where available
- Permissioned Full Platform context
Commerce Intelligence
Optimize for business value, not recommendation clicks.
Use commerce performance, merchandising evidence, experiments, and measured outcomes to prioritize recommendations against conversion, AOV, product revenue, cross-sell revenue, and incremental impact.
- Conversion and commerce behavior
- Product and merchandising performance
- Experiment results
- Revenue, AOV, margin, and product outcomes
Proof
Did the recommendation create measurable commerce value?
Connect recommendation exposure and selection to downstream outcomes. Controls or holdouts where appropriate help distinguish activity from incremental impact.
Measured against the right evidence
- Conversion
- Average order value
- Product revenue
- Cross-sell revenue
- Incremental revenue
- Control and holdout comparisons
How It Fits
Add intelligence without starting over.
Use native OfferOpt recommendations or build on supported systems you already own, then place the experience where shoppers can act on it.
Existing Recommendation Tools
Keep the recommendation engine you already own.
OfferOpt can use supported existing systems for candidate products, then apply shared Customer and Commerce Intelligence to rerank, validate, and measure them.
Add intelligence and measurement without forcing a rip-and-replace.
- Native OfferOpt recommendations
- Supported provider candidate ingestion
- Customer and commerce contextual reranking
- Provider authority preserved for its own data and execution
Recommendation Modes
Match the recommendation to the shopping moment.
Use supported strategies across discovery, product pages, conversation, cart, checkout, and repeat-purchase journeys.
- Personalized recommendations
- Similar and complementary products
- Product affinity, cross-sell, and next-best-product
- Cart, checkout, conversation-driven, and replenishment guidance
Shopify Components
Put recommendations where shoppers can act on them.
Use supported Shopify-native recommendation components and retailer-controlled presentation across appropriate storefront placements.
- Shopify-native components
- Supported storefront and checkout placements
- Customizable presentation
- Retailer-controlled configuration
One AOV Growth Platform
One platform to grow order value.
AI Shopping Assistant, Recommendation Intelligence, and Offer Intelligence use the same Customer Intelligence, Commerce Intelligence, experimentation, and measurement foundation.
These are shopper-facing capabilities within OfferOptics, not separate platforms. Provider context and actions that require verified Full Platform connections remain bounded by tenant permissions and retailer controls.
See It in Your Business
Put better product guidance into every shopping journey.
Use Recommendation Intelligence with the full OfferOptics platform for one month and measure its contribution to conversion, AOV, and product revenue.
Explore your AOV opportunity without changing your store. Qualified retailers may receive up to one month of complimentary full-platform access, subject to fit review, approval, and capacity.