You will get a recommendation model that matches users with ideal products or services
You will get a recommendation model that matches users with ideal products or services
Project details
Influence your customers' engagement potential by proactively recommending your products and services throughout their buying journey.
Our algorithm recommends complementary products, services or other experiences to your customers, on-demand, based on their behavior patterns, their unique needs and preferences, and your most important metrics.
Most common use cases include matching two sides of a marketplace efficiently and effectively or recommending products or services throughout the user journey.
Our Collaborative filtering model is ideal for businesses with one or similar services, as it recommends products and services that similar users have enjoyed. Our Content-based filtering model is ideal for businesses with multiple products or services that are complementary, recommending products that are similar and complementary for up-sell opportunities.
This approach helps you to better understand your customers' preferences and needs proactively, enabling you to offer targeted and personalized recommendations that can drive higher engagement, retention, and revenue growth.
Our models integrate directly with your database and update at custom frequency.
Our algorithm recommends complementary products, services or other experiences to your customers, on-demand, based on their behavior patterns, their unique needs and preferences, and your most important metrics.
Most common use cases include matching two sides of a marketplace efficiently and effectively or recommending products or services throughout the user journey.
Our Collaborative filtering model is ideal for businesses with one or similar services, as it recommends products and services that similar users have enjoyed. Our Content-based filtering model is ideal for businesses with multiple products or services that are complementary, recommending products that are similar and complementary for up-sell opportunities.
This approach helps you to better understand your customers' preferences and needs proactively, enabling you to offer targeted and personalized recommendations that can drive higher engagement, retention, and revenue growth.
Our models integrate directly with your database and update at custom frequency.
Machine Learning Tools
BERT, GPT-3, pandas, Python, scikit-learn, SQL, Tableau, TensorFlowWhat's included $2,000
These options are included with the project scope.
$2,000
- Delivery Time 30 days
- Number of Revisions 2
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
About Alex
AI & Machine Learning | Hyper-Personalization | Grow Customer LTV
Glyfada, Greece - 1:21 pm local time
I have a strong hands-on background in product growth, data analytics, A/B testing & experimentation, conversion rate optimization, user acquisition, user retention & engagement, and digital media (paid social & search).
Steps for completing your project
After purchasing the project, send requirements so Alex can start the project.
Delivery time starts when Alex receives requirements from you.
Alex works on your project following the steps below.
Revisions may occur after the delivery date.
Action plan based on use case
By understanding your targeted use case for recommendation algorithms, we can tailor how we plan to produce the ideal output.
Access to data source(s) and data engineering
We deep-dive into your data, cleaning it as necessary to ensure we can analyze it effectively.