Stop guessing which products shoppers want to see
VWO AB Tasty Commerce gives merchandising teams full control over product discovery, search, and recommendations, so every shopper sees a store that feels like it was built for them.
The problem
Your catalog is deep.
But most shoppers never see the best of it.
Merchandising teams spend hours manually curating what gets promoted or what gets buried. But shoppers get recommendations for products that are not relevant to them.
The gap between what your store has and what shoppers discover is where revenue gets lost.
Search, recommendations, and merchandising. All in one platform
Control the full discovery experience without juggling separate tools, managing data, or waiting on engineering.
Personalization built on what shoppers actually do
Browsing patterns, search queries, and past purchases all feed into what a shopper sees next. The more they interact with your store, the more relevant their experience becomes.
One set of rules, applied everywhere
Merchandising logic configured in one place carries through to category pages, search results, and recommendation widgets automatically.
Search that reads between the lines
When a shopper describes a product in their own words, or types something your catalog does not match exactly, semantic AI bridges the gap and still returns what they were looking for.
Performance data in one view
Consolidate search, recommendation, and merchandising analytics so your team can identify what is working and act on it without switching context.
Launch, adjust, and optimize without depending on your engineering team
Most merchandising tools require a developer to change a ranking rule, launch a campaign, or adjust what gets promoted in a category. With our tool, we can help your team do it directly, on your timeline.
No new data infrastructure needed
We work with your existing tech stack. There is nothing new to instrument, tag, or collect before you can get started.
Low-code controls for business teams
Intuitive merchandising rules, widget management, and campaign configuration are all accessible without engineering involvement.
Changes that take effect immediately
Adjustments to rankings, promotions, or recommendations go live in real time, so you can respond to trends and inventory changes as they happen.
Types of Recommendations
Every shopper has a different intent.
Your recommendations should reflect that.
Generic recommendation widgets treat every visitor the same. Our platform builds a picture of each shopper based on what they search, browse, and buy, and uses it to highlight the products most likely to convert.
Personalized for each visitor
First-time visitors see picks based on their current session. Repeat shoppers get suggestions informed by everything they have searched, browsed, and bought before.
Brand affinity
Shoppers who return to the same brands time and again should not have to hunt for them. Our platform recognizes those preferences and weights results accordingly.
Frequently bought together
Cross-sell opportunities surface naturally when recommendations are driven by real purchase combinations rather than manually curated pairings.
Trending products
Products gaining momentum across your catalog get elevated before the trend peaks, keeping your store relevant to what shoppers are interested in right now.
Recently viewed
Shoppers often need more than one visit to make a decision. Surfacing products they have already considered, at the right point in their next session, makes it easier to come back and convert.
Search is where purchase intent is highest.
Treat it accordingly.
Our semantic search engine closes the gap between what shoppers ask for and what your catalog contains, so high-intent moments convert more often.
Intent over exact match
Semantic AI returns relevant results even when a shopper misspells a product name, describes it in their own words, or uses terminology your catalog does not use.
Merchandiser control over search results
Business teams can boost specific products, bury low-priority items, and apply campaign promotions directly to search results without engineering support.
Consistent across the full discovery experience
The same data, rules, and logic that power your recommendations also power search. Campaigns and priorities apply consistently, so shoppers get a coherent experience regardless of how they navigate your store.
Put the right products in front of the right shoppers. Every time.
Category pages, search results, and recommendation widgets each shape what shoppers discover. Now with our platform, merchandising teams have direct control over all of them, with rules that can be set by category, segment, or campaign, and adjusted without developer involvement.
Category-level strategies
Tailor your merchandising approach for each category, whether that means announcing new arrivals in fashion or moving high-margin items in electronics.
Campaign-driven rankings
Align product visibility with your promotional calendar. Display what you want to sell now without disrupting the broader category experience for shoppers who are not in a campaign segment.
Boost and bury
Move high-priority products to the top of results and push low-relevance items down. Useful for new launches, clearance, exclusives, and anything with a time-sensitive reason to be visible.
1:1 personalized rankings
Apply individual shopper behavior to dynamically reorder products within a category, so the same category page shows up differently for different shoppers.
Filters and facets
Control which filtering options appear for each category so shoppers can narrow down to what they want quickly, without being confronted with irrelevant options.
Women Skirts
16 items
Women Skirts Category
ALGORITHM
New Launches
Built for the way eCommerce teams actually work
Promote products
Increase visibility for specific products or entire categories across the site or within individual widgets, based on campaign or business priorities.
Exclude products
Prevent items already purchased or sitting in the cart from appearing in recommendation widgets, keeping suggestions genuinely useful.
Rule management
Create, adjust, reorder, and remove merchandising rules independently, through a back-end that does not require developer access.
Multi-source data
Recommendations draw on a combined view of online behavior, offline transactions, inventory levels, CRM data, and traffic sources to improve accuracy.
Email recommendations
Product suggestions included in emails are generated at the moment the email is opened, reflecting live inventory and up-to-date shopper behavior rather than a static snapshot.
Widget placement
Recommendation entry points can be added at any stage of the customer journey, from the homepage through to the post-purchase confirmation page.
Search and revenue analytics
Understand which search terms drive traffic, where shoppers click, and how search activity connects to revenue, all within a single reporting view.
Flexible integration
Teams with front-end requirements can connect via API. Teams looking for faster deployment can implement through JavaScript.
Semantic site search
The search engine handles natural language queries, spelling variations, and catalog terminology mismatches without requiring manual synonym configuration.
Multi-tenant recommendation logic
Brands operating across multiple regions, storefronts, or tenant environments can manage recommendation strategy from one platform.
Show your shoppers what they really want to see!
Request a DemoGet enterprise-grade security and support from day one
Work confidently, knowing that we have always got your back for your security and support. Build and scale your testing programs with ease.
Your experimentation data is safe and secure with us
We value our customers' trust in our platform. Hence, we try our best to comply with security and privacy mandates across physical and digital geographies.
Explore Privacy & Security
Two-factor authentication (2FA)
Enhance VWO account security with two-factor authentication at the user or workspace level using authenticator apps or email passcodes.
Data storage
VWO has data centers in the US, the EU (Belgium), and India. Our CDN uses a load balancer, is hosted on Google Cloud Platform, and spans 10 locations from Japan to Brazil for faster loading.
Dedicated customer success manager
Leverage our training programs and dedicated success manager to optimize your website for better conversions.
Support with a constant CSAT of ~99%
You can count on us all year round for your most minor query while running the most complex experiments. Our technical experts will guide you all year round.
Single sign-on (SSO)
Log into VWO securely and conveniently using SAML 2.0-based single sign-on via identity providers like Google, Azure Cloud, OneLogin, Okta, and others.
Role-based permissions
Get Sub-accounts and varying levels of user permissions to bifurcate testing for client/agency and role division for the enterprise.
Your shoppers know what they want. Make sure your store shows it to them.
Still have questions?
It is built primarily for eCommerce managers and merchandising teams who need hands-on control over how products are discovered across their store. Teams managing large or complex catalogs across multiple categories, markets, or storefronts will also benefit from this.
Building in-house means committing ongoing engineering time to development, maintenance, and iteration. Our platform can connect to your existing product feed from day one, with the personalization engine, search infrastructure, and merchandising controls already built. Your team operates it. Your engineers do not have to build or maintain it.
Yes. Ranking rules, promotional configurations, widget setup, and campaign adjustments are all manageable directly through the back-end interface. No engineering support is needed for day-to-day merchandising decisions.
Rather than matching search queries to exact catalog terms, Commerce uses semantic AI to interpret what a shopper is looking for, even when their phrasing does not align with your product taxonomy. Merchandising rules can also be layered on top of search results, giving your team control over what gets promoted or suppressed without touching the underlying search configuration.
AB Tasty and VWO are part of the same group. Commerce covers eCommerce product discovery: search, recommendations, and merchandising. VWO covers behavioral analytics, customer feedback, A/B testing, and feature experimentation. Used together, they give eCommerce teams a connected toolkit that spans understanding shopper behavior, acting on it, and measuring what changes as a result.
