Next-gen AI Recommendations with 5x Better Performance
Almeta ML understands each customer — what they browse, search, add to cart — and matches it with your product data, inventory levels, profit margins, and delivery times. Every customer sees different recommendations based on their behavior and your business priorities.
Increased AOV and revenue from day one, even for brand new products. 5–10x better performance than basic "also bought" recommendations.
Almeta ML delivers advanced, real-time machine learning recommendations that outperform basic "also bought" systems and conventional ML platforms. While most systems only use browsing data, we integrate your complete business context — inventory, margins, delivery times, and more — to generate recommendations that drive higher revenue and AOV. Recommendations are personalized to each customer and optimized for your business goals.
| Basic Systems | Almeta ML | |
|---|---|---|
| Browsing history | ● | ● |
| Product attributes | ● | ● |
| Behavioral data | ● | |
| Business rules | ● | |
| Image analysis | ● | |
| Inventory by location | ● | |
| Profit margins | ● | |
| Delivery times | ● | |
| In-store availability | ● | |
| Returns data | ● | |
| Promotions | ● | |
| Geographic preferences | ● | |
| Seasonal patterns | ● |
“If you’re using basic recommendations from your ecommerce platform, you’re leaving money on the table”— Mark Sawyer, Sr. Marketing Manager, Homekilo
Customizable placements and recommendation scenarios
"Just for you" personalized feeds
AI product sorting & filtering
Similar items, alternatives, complete the look
Personalized ranking
Cross-sell & upsell before checkout
Thank you page recommendations
Personalized product blocks
Dynamic product feeds for Meta & Google
Almeta ML offers pre-built ML models for every use case. Each model learns from customer behavior and adapts to your business priorities. Deploy multiple strategies simultaneously or customize to your specific needs.
Show products that complement what the customer is viewing or has in their cart.
Recommend better alternatives with priority rules and business goals.
Complementary products, upgrades, or alternatives for current cart contents.
Recommendations for customer's unique behavior and preferences.
Show what's popular right now, filtered and ranked by individual preferences.
Highlight latest products matched to each customer's taste and behavior patterns.
Suggest items that go together visually and stylistically based on purchase patterns.
Bundle recommendations optimized for conversion rate and AOV increase.
Build your own recommendation logic with custom rules, filters, and priorities.
Next-gen AI Recommendations with 5x Better Performance
14-day free trial, cancel anytime.
Almeta ML combines individual customer behavior, your business priorities, and contextual signals. These layers work together to consistently outperform traditional systems.
Every interaction teaches the system what each customer wants. AI tracks product views, searches, cart behavior, purchases, returns, profile data, reviews, session durations, scroll depth. These inputs determine which products we recommend to each customer.
Your business objectives drive every recommendation. You set the priorities — like boosting margins, clearing inventory, or promoting new products — and the AI finds the right customers and timing.
Purchase intent changes based on context: location, weather, device type, traffic source, seasonality, time of day. The models adapt automatically.
You can run different models simultaneously (each with its own objective: revenue, margin, CTR, conversions) and share audiences across multiple websites or brands. Recommendations adapt instantly to price changes, stock level updates, and current session behavior.
Next-gen AI Recommendations with 5x Better Performance
14-day free trial, cancel anytime.
Click on a question below to see the answer. If you need any help, please contact us.
Basic built-in recommendations are typically based on product similarities and simplified aggregated browsing history. Machine-learning-based systems also include customer behavior data to personalize their recommendations.
Almeta ML takes this to the next level by incorporating advanced business rules, behavioral data, inventory & location awareness, profit margin optimization, promotions and context — leading to 2–3 times higher click-through rate and 5–10x overall recommendations performance.
Almeta ML adapts to any industry, ensuring recommendations are tailored to your specific use cases. During integration, we can implement custom recommendation logic to match your unique business requirements. Here are some real-life examples:
Almeta ML offers usage-based pricing, starting at $99 / month. Each plan includes a number of events and recommendations.
Contact us for a quote.
No. Almeta ML handles all the machine learning complexity behind the scenes, so you can focus on your business goals.
Integration typically takes 1–2 weeks. We provide full support and offer pre-built connectors, a lightweight web tag, and an API. If you need help setting up Almeta ML, you can schedule an expert installation with us.
Almeta ML does not collect any personally identifiable information about your customers, unless you choose to include it in your data.
If you use the web tag, Almeta ML will only collect the events you choose to track. By default, the web tag generates a random customer ID and saves it to local storage. You can choose to include your own customer ID in your data.