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Introducing Commerce: The Unified Platform for Product Discovery 

Consumer preferences don’t wait. Neither do margins. E-commerce teams are under more pressure than ever — to move fast, stay relevant, and make every product interaction count. The challenge? Most teams are still juggling disconnected tools to manage search, recommendations, and merchandising separately. Fortunately, VWO AB Tasty has the answer.

One platform for every e-commerce need

VWO AB Tasty Commerce lets you manage your entire e-commerce strategy with just one platform. It unites search, recommendations, and merchandising to control every touchpoint and deliver consistent, personalized shopping experiences for every shopper. The result is consistent campaigns, easier implementation, and a single source of truth.

Finally, you can use one system to control product visibility, ranking, and prioritization safely and at scale. Commerce also provides a single UX that adapts to every user, goal, and product offering.

  • Unified data and personalization: Every click, search, and purchase instantly shapes both search results and recommendations, delivering a truly personalized experience at every touchpoint.
  • Unified merchandising across channels: Promote products anywhere on your site with ease. Merchandising rules also sync across search and recommendations for consistent, sitewide impact.
  • Real-time adaptation: Commerce updates search rankings and recommendations in real-time to keep offers fresh and compelling, letting you stay ahead of trends and inventory changes.
  • Unified reporting: Commerce lets you see what’s working across search, recommendations, and merchandising, letting you test, optimize, and analyze all in one place.
  • Fast implementation: Commerce uses any product feed, meaning no new data collection, no new website tracker, and no discrepancies.

Semantic-first search for modern shoppers 

Traditional search was built around keywords, synonym dictionaries, and manual rules. That works for some catalogs — but it’s not how most shoppers actually behave. Today’s shoppers describe what they need. They use natural language, imprecise terms, and context. They expect search to keep up.

That’s why VWO AB Tasty’s search module is built on a semantic-first approach that starts from understanding meaning. We’ve specifically designed it to reflect how shoppers actually search: with intent, context, and natural language. It allows brands to use synonyms and precision controls for complex catalogs while giving teams a more intent-driven foundation that makes them less dependent on manual rule management.

What our Search module brings to your team:

  • Unifies the search experience: Delivers a multi-modal search that blends conversational, discovery, and keyword search into one seamless journey.
  • AI-powered rankings: Marketers get smart tools to spotlight key products, tailor results to individual behavior, and act on actionable insights.
  • Full control for non-technical teams: Low-code and no-code tools let business teams iterate fast, without waiting on developers.

Getting started is simple too. Deploy via widget — a lightweight overlay that activates when shoppers click the search bar, no code required. It includes a search-as-you-type experience so results update in real time. When you’re ready to scale, integrate via the Search API for even stronger site performance.

The Search Challenges We Help You Solve

Shoppers can’t find what they’re looking for

When shoppers can’t find what they’re looking for, they leave. VWO AB Tasty Search uses AI-powered semantic search to surface the right products even when shoppers use natural language, misspellings, or terms that don’t match your catalog exactly — no endless synonym lists required.

Search rankings don’t reflect your business priorities

Best-sellers buried. Out-of-stock products surfaced. Promotions nowhere to be seen. Our strategy builder lets your team create rules for specific queries, boost or bury individual products, and align search results with your actual commercial goals — without the fragile, hard-to-scale manual rules.

Search optimization is manual, slow, and reactive

Adding synonyms one by one, reacting after customers complain, waiting on developers for every small change — it slows everything down. VWO AB Tasty Search gives teams native widgets to style overlays, edit visuals, apply custom code, and run A/B tests, all without a ticket queue.

No visibility into performance or customer intent

If you can’t see which queries are failing or how search connects to revenue, you can’t improve. VWO AB Tasty Search centralizes all your monitoring and reporting — top queries, failing queries, relevance issues, and revenue impact — so your team always knows what’s working and where to focus next.

However, today’s shoppers don’t just search for products. They also browse, compare, refine, and explore. To be truly effective, search needs to be part of a broader product discovery strategy that includes recommendations and merchandising. Search sits within a larger optimization and product discovery ecosystem. This lets you connect search with recommendations, merchandising, and experimentation strategies instead of trying to manage search in isolation.

Recommendations & Merchandising That Move With Your Shoppers

Today’s shoppers send clear signals throughout their time on a website. And AI now enables brands to respond dynamically to what each shopper is doing in real-time, making product discovery more relevant for every visitor. This not only creates a stronger personalization strategy, it also has a direct impact on conversion rates and customer satisfaction.

Our recommendations & merchandising solution lets you deploy personalized recommendations across websites, email campaigns, and CMS platforms while merchandising product catalogs to optimize both visibility and sales performance. It uses AI product recommendation algorithms which can be refined with business-specific filters and attributes.

  • Uses any type of AI models: combine as many algorithms as you need, including our out-of-the-box models, those tailor-made for you, or leverage your existing data and algorithms to capitalize on your internal assets.
  • Gives full control to merchandisers: low-code widget development and intuitive merchandising rules let teams boost or bury products, spotlight campaigns, and adjust rankings in real time, without waiting on developers.
  • Integrates quickly and easily: platform integrates through API endpoints, JavaScript tags, and direct CMS connections, with built-in A/B testing capabilities to optimize algorithm selection, design elements, and banner placement.

Our 1:1 recommendations adapt in real time to highlight the perfect picks for each shopper based on past behavior. You can empower customers to find exactly what they want, while still promoting what’s important to you, according to your business goals and campaign priorities. Our Commerce suite gives you full control over product placement and lets you customize your merchandising strategy for each category – highlighting what matters most to every shopper segment. 

The Recommendations & Merchandising Challenges We Help You Solve

Driving AOV and protecting margin

It’s not just about conversion rate — it’s about selling the right products. Margin levels feed directly into our algorithms as a key decision lever. Multi-variant stock logic ensures products most likely to convert are prioritized. And our cross-sell strategy drives a 5–10% increase in AOV and selling index using leading AI models.

Managing a large catalog with limited resources

Not every category gets the attention it deserves. Our AI algorithms automate strategies across your full catalog — with the flexibility to set a global approach and carve out exceptions where needed.

Not enough time, too many priorities

Seasonal events, tight deadlines, legacy systems. Sound familiar? Our AI handles the heavy lifting so your team can focus where it matters most. And with an easy-to-use interface, new strategies can go live in minutes — not weeks.

Balancing competing business priorities

Visual appeal vs. sales performance. Brand positioning vs. trade marketing needs. Stock levels vs. campaign goals. VWO AB Tasty lets you combine multiple strategies in one platform — and A/B test them to find out what actually works.

Lack of control and transparency

Opaque AI shouldn’t be the norm. Our solution gives you transparent rules, full preview capabilities, and the ability to use any product attribute to filter, push, or hide products. Third-party data integrates easily too.

Key features of Commerce

Semantic site search: Deliver relevant results even with misspellings, natural language, or catalog mismatches – without endless synonym lists.

Promote products: Push products or categories across your site or to specific widgets. Exclude products: Exclude specific products, products already purchased, or products already in the cart.

Edit rules: Add, edit, prioritize or delete rules in an intuitive back-end.

Combine data feeds: Leverage all your data, including online, offline, CRM, purchase, traffic sources etc.

Email recommendations: Drive improved CTR and more conversions through email recommendations that generate at open.

Widgets: Add widget placeholders throughout the customer journey.

Advanced analytics: Dive into search term, click, and revenue performance.

Easy integration: Integrate our API for front-end control or let us handle the entire process with our Java Script code.

High-level recommendation logic: Build a recommendation strategy across several tenants.

One Journey. One Platform. Commerce.

Shoppers don’t experience search, recommendations, and merchandising as separate systems. They experience one journey. So why juggle multiple vendors or tools to optimize it? VWO AB Tasty is unique in offering personalized search, AI-powered recommendations, and robust merchandising tools in a single, unified platform. Unlike other solutions, our platform also enables seamless experimentation, personalization, and feature management – letting you optimize every step of the customer journey from one platform.