Recommendations
that move the
basket forward.
Aveleo builds custom recommendation systems for retail and ecommerce companies.
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The problem
Most ecommerce stores underuse their product data
Most ecommerce sites lose revenue because customers cannot discover products, leave after viewing one item, or receive irrelevant search results.
Low average order value
Customers buy one product instead of complete baskets, leaving significant revenue on the table.
Poor product discovery
Users never find relevant products hidden in large catalogs, causing them to leave empty-handed.
Weak search relevance
Keyword search misses customer intent and returns irrelevant results that frustrate shoppers.
Lost repeat purchases
Stores fail to personalize customer experiences, missing the opportunity to build loyalty.
Unused catalog intelligence
Existing behavioral and product data is not monetized, despite being your most valuable asset.
Recommendation systems solve these problems by intelligently connecting products, customer behavior, and purchase intent.
Solutions
Recommendation systems we build
Each recommendation type is engineered for a specific business outcome — from discovery to conversion to retention.
Similar products
Recommend visually or behaviorally similar items based on product attributes, embeddings, and user interactions.
Frequently bought together
Increase basket size with complementary product bundles driven by co-purchase signal analysis.
Personalized recommendations
Show different products to different users based on their history, preferences, and real-time behavior.
AI search & discovery
Semantic product search powered by embeddings and ranking models that understand customer intent.
Trending & popular products
Surface products based on real-time behavioral data, trending signals, and popularity curves.
Recently viewed recommendations
Improve return-to-product journeys with smart recently-viewed widgets and re-engagement flows.
Cross-sell & upsell systems
Recommend higher-value or complementary products at the right moments in the shopping journey.
Product matching systems
Match products across suppliers, marketplaces, or catalogs using embedding similarity and attribute matching.
Industries
Built specifically for retail & ecommerce
Every recommendation system we build is designed around real ecommerce discovery and conversion problems — not generic ML demos.
Ecommerce stores
Improve conversions, product discovery, and basket size with personalized recommendation widgets.
Online marketplaces
Improve catalog quality and recommendation relevance across thousands of sellers and SKUs.
Grocery & FMCG
Basket recommendations, product substitutions, and repeat purchase optimization for high-frequency buying.
Fashion & beauty
Style similarity, complete-the-look recommendations, and personalized collections for style-driven discovery.
Electronics retail
Accessory recommendations, compatibility-aware suggestions, and specification-aware product matching.
Multi-category retailers
AI discovery and navigation across large, complex catalogs with many categories and attributes.
No new data needed
You probably already have enough data to start
Most retailers already have valuable recommendation signals inside their existing systems. Aveleo builds systems around your existing infrastructure and data reality.
Even if your attributes are inconsistent, your categories are messy, customer identity is limited, or product data is incomplete — we build around what you have.
Works even if:
- Attributes are inconsistent
- Categories are messy
- Customer identity is limited
- Product data is incomplete
Your existing data
Smart recommendations
↑ Production-ready in weeks
AveLeo AI
Processing engine
Live demo
See recommendation systems in action
Request a live demo tailored to your ecommerce or retail use case. We show practical recommendation scenarios relevant to your business and catalog structure.
Similar product demo
Product pageSee a recommendation carousel for a sample product page — showing AI-ranked similar items from a real product catalog.
Frequently bought together demo
Cart & checkoutSee cart recommendation logic in action — products that are statistically co-purchased, surfaced at checkout.
AI search demo
Search & discoverySee semantic search examples — queries that go beyond keywords to understand shopper intent and surface the right products.
Product matching demo
Catalog intelligenceSee how we match products across suppliers, marketplaces, or catalogs using embedding similarity and attribute intelligence.
Ready to see it working?
We'll show practical recommendation scenarios relevant to your business and catalog structure — tailored to your use case.
Technology
Modern recommendation infrastructure
A production-grade recommendation pipeline built with proven technologies. Fast, scalable, and easy to integrate with your existing systems.
Product data
Catalog, attributes, images
Behavioral events
Clicks, views, purchases
Embeddings
Vector representations
Retrieval
FAISS / ANN search
Ranking
ML ranking model
Recommendation API
Fast, reliable endpoints
Ecommerce integration
Shopify, custom API, etc
Technologies
Why Aveleo
Why companies choose Aveleo
We're not a generic software agency with an AI practice. We're a specialized team built for one thing: recommendation systems for retail.
Recommendation-system focused
Not a generic software agency doing AI on the side. Every engineer on our team has deep expertise in recommendation systems specifically.
Ecommerce understanding
Built around real ecommerce discovery and conversion problems. We understand the metrics that matter: AOV, CVR, discovery rate, and catalog coverage.
Custom systems
No black-box SaaS limitations. We build systems tuned to your specific catalog, customer behavior, and business logic — not generic templates.
Faster development
Prebuilt internal recommendation infrastructure accelerates delivery. Get from discovery to production recommendation API in weeks, not months.
Scalable architecture
Designed for growing catalogs and traffic. Systems that handle thousands of SKUs today and millions tomorrow without architectural rework.
Strong engineering expertise
Deep understanding of retrieval, ranking, embeddings, and recommendation pipelines. We've seen the problems that appear at scale.
Process
How we work
A structured, transparent process from first call to production recommendation system — with clear milestones at every step.
Discovery call
60-min call • No obligationWe start by understanding your catalog, business goals, existing data, and the recommendation opportunities that will have the biggest impact.
Recommendation strategy
Delivered in 1–2 weeksWe define the highest-impact recommendation flows for your specific business, catalog structure, and customer behavior patterns.
MVP development
Typically 1 weekWe build a production-ready recommendation prototype — real data, real performance, ready to show to your team and stakeholders.
Integration
Shopify, custom API, headlessWe connect recommendations to your ecommerce platform, app, or existing APIs. Clean interfaces, good docs, no vendor lock-in.
Optimization
Ongoing improvement cycleWe improve recommendation quality using behavioral feedback and analytics — continuously tuning models as your catalog and traffic evolves.
Your customers are already looking for better product discovery
Recommendation systems help ecommerce companies create measurably better shopping experiences — and we build them to fit your catalog, customers, and business goals.
Increase average basket size with intelligent product bundling
Improve conversion rates through better product discovery
Surface more of your catalog to the right customers
Create smarter, more personalized shopping experiences
See how recommendation systems could work for your catalog, customers, and business goals.
Get in touch
Request a demo or discovery call
Tell us a bit about your store and catalog. We'll come back with a tailored demo showing how recommendation systems could work for your specific use case.
Live demo
We show recommendation systems working on real product data.
Tailored to your catalog
We prepare examples relevant to your industry and product types.
Fast turnaround
First response within one business day.
Or email us directly
hello@aveleo.ai