Turn Every Visit Into Revenue With Personalized Product Recommendations and Content Personalization
Higher basket size
Attributable sales
global retailers
400+ Fortune 1000 Retailers Trust Algonomy For Personalization
The Promise Of Personalization Broke Somewhere Along The Way
Retailers know relevance drives revenue, yet most personalization tools create new challenges:
- Loss of control: Algorithms promote products that ignore brand or margin goals.
- Disjointed experiences: Product recommendations and content campaigns run on separate systems.
- No visibility: There’s no clear “why” behind what the shopper sees.
ADA Global Recommend™ solves this by combining personalization, merchandising discipline and content agility, so every product and message reflects your business priorities.
See How Retailers Use Recommend™ to Drive Results in eCommerce
Choose your industry to explore how product intelligence and experience personalization combine to lift conversion, AOV, and loyalty.
Increase outfit attachment with “Complete the Look.”
Shoppers browsing a single item often miss the full outfit.
Recommend™ uses personalized recommendations and merchandising logic to pair complementary pieces (a blazer with matching trousers or shoes), while personalizing promotional banners or seasonal campaigns that highlight trending collections.
Turn homepages into personal runways
Returning shoppers don’t need to re-browse your entire catalog.
Recommend™ uses personalized product recommendations to prioritize the brands and categories each shopper loves, adjusting banners, and editorial content to showcase new arrivals from those exact labels.
Protect brand image while clearing inventory
Discounts may diminish your premium brand perception.
Recommend™ limits markdown exposure, delivering personalized product recommendations and sale messaging only to the shoppers most responsive to offers—preserving exclusivity for others.
Convert single-product buyers into full-routine customers
Most beauty shoppers purchase one item per visit.
Recommend™ suggests personalized complementary SKUs (cleanser, serum, moisturizer) and guides shoppers through an interactive “Find Your Routine” flow that increases regimen completion and AOV.
Reduce shade confusion and hesitation
Color uncertainty causes cart abandonment.
Recommend™ uses Visual AI to match similar tones and delivers personalized content, such as video tutorials or influencer banners, to help shoppers make confident choices.
Drive timely replenishment and loyalty
Predict when each shopper is running low and re-engage proactively.
Recommend™ identifies replenishment windows and triggers reminder banners or emails that feel helpful, not pushy.
Turn recipe inspiration into actual baskets
Recommend™ maps ingredients to available SKUs and substitutes out-of-stock items.
As a guided selling solution, Dynamic Experiences features recipe cards or seasonal menus that inspire shoppers and guide them to the right products.
Simplify reordering for loyal customers
Habitual customers want speed over browsing.
Recommend™ rebuilds habitual baskets using purchase patterns and highlights “Shop your usuals” carousels across web and app.
Save at-risk baskets automatically
Stockouts erode trust.
Recommend™ suggests close substitutes for out-of-stock items and communicates those swaps transparently through banners or inline messages, preserving shopper trust.
Simplify complex buying decisions
Too many specs overwhelm shoppers.
Recommend™ acts as a guided selling solution, launching interactive flows that ask simple questions (“How will you use it?”) to guide customers to the right device.
Lift margin with compatible add-ons
Attach rates drop when accessories aren’t visible.
Recommend™ suggests compatible accessories or warranties, and also delivers personalized promotional banners (“Bundle and Save on Accessories”) near checkout.
Promote hero launches effectively.
Static hero pages underperform.
Recommend™ prioritizes new-launch SKUs site-wide, and delivers coordinated campaign assets (hero banners, explainer videos, limited-time offers) that spotlight the release.
One Connected System For Product And Experience Personalization
Personalization works best when product logic and engagement share the same brain. Recommend™ determines what to show based on merchandising and behavioral data. Further, it determines how and where to deliver those experiences — instantly and at scale.
Product Recommendations Engine
Blend AI discovery with merchandising discipline
Advanced Merchandising
Configurable Strategies
Data Science Workbench
Visual AI
Experience Optimizer
Transparency and Reporting
Content Personalization Engine
Launch personalized experiences in minutes.
Dynamic Experiences
Guided Selling
Shared Targeting Logic
Unified Analytics
Because Real Retail Needs Personalization Beyond Black-Box AI
With Algonomy, you get a personalized recommendation engine that gives you control, yet does all the heavy lifting, so your business sees uplift.
Business-aware automation
AI that honors your merchandising and margin rules.
Merchandising control built in
Boost, restrict, and test strategies with no code.
Speed and autonomy
Launch new experiences in minutes, not sprints.
Unified data foundation
Product and content decisions powered by the same insights.
Transparency and trust
Every decision traceable, every uplift measurable.
Built To Scale With Your Architecture – Secure, Flexible, And Future-Ready
Recommend™ is a product recommendation engine with a native content personalization engine, integrating seamlessly across client- and server-side implementations to ensure speed, SEO-friendliness, and data accuracy.
Integrates seamlessly with Shopify, and custom setups – all while protecting shopper privacy with automatic anonymization.
Server-side integration
Full control and SEO-safe rendering
Client-side integration
Faster time-to-market for dynamic placements
Dynamic Experiences
No-code deployment for new experiences
Streaming APIs
Real-time updates from product catalog to personalization engine
Enterprise-Grade Security And Global Compliance Built In
Proven Impact Across eCommerce Categories
From Pilot to Profit: How Martin & Servera Built Retail Media In-House
Scaling Personalization Across 12 European Markets: A Decade of E-Commerce Growth with Miinto
Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations
Riachuelo Sees Nearly 4X Increase in CTRs and 5% Surge in Sales with a Nifty Countdown Widget
Bergfreunde Cuts Campaign Prep Time by 75% Across 12 European Markets
Wine.com Drives AttributeBased Recommendations for Personalization
Aditya Birla Fashion and Retail Drives a 13% Lift in AOV Across 6 Brands by Personalizing Key Commerce Touchpoints
What our customers have to say
Explore our personalization resources—best practices, case studies, and more—to stay ahead of the curve.
Explore Our Personalization and MarTech Solutions
FAQs
How is Recommend™ different from other personalization tools?
Most tools handle only one side—product recommendations or content. Algonomy brings both together in a single personalized recommendation engine, ensuring every product and message align perfectly.
Can merchandisers control what gets recommended?
Yes. Advanced Merchandising gives teams full control within the personalized recommendation engine, allowing them to promote or suppress items by brand, margin, or stock levels—no coding needed.
Does content personalization require developer support?
No. Dynamic Experiences is a no-code editor for creating and launching personalized campaigns.
How does Algonomy ensure transparency in AI decisions?
The Experience Browser shows which strategy was used, why it was chosen, and what performance it delivered.
Can we use our own models?
Yes. Through the Data Science Workbench, your team can upload and test proprietary algorithms within the recommendation workflow.
How long does it take to go live?
Core implementations take weeks, not months. New placements can be launched instantly through Dynamic Experiences.
Can we monetize recommendation zones?
Yes. With Data Science Workbench, you can create sponsored SKUs or brands within the personalized recommendation engine—while maintaining shopper relevance.
Is this suitable for non-technical teams?
Absolutely. Recommend™ is built for merchandisers and marketers—intuitive, no-code, and fully transparent.
What is guided selling solution in Recommend™?
Guided selling in Recommend™ helps shoppers make confident purchase decisions by asking intent-based questions and dynamically presenting best-fit products and content—combining merchandising control with AI-driven recommendations.
Show The Right Products. Deliver The Right Message. Every Time.
Recommend™ drives personalized product recommendations in e-commerce, deciding what experience to show and delivering it at the right time and place, so retailers increase conversion, protect margins, and create seamless shopper journeys, built for modern merchandising.
