Webinar: Automated Recommender Systems with Megaladata

Overview: Discover how automated recommender systems can revolutionise customer experiences and drive business profitability. In this webinar, we’ll explore two key approaches for creating recommendation models using Megaladata:

1. Recommendations in Digital Marketing: Learn how personalised recommendation engines can boost conversion rates, enhance customer engagement, and refine marketing strategies through the power of AI models and data analysis.
2. Recommendations in Unit Economics for Online Stores: Explore how to optimise pricing, manage stock levels, and implement demand-driven sales strategies. Gain valuable insights into understanding customer behaviour and maximising profits in a digital marketplace.

What You’ll Learn:

• How data-driven recommender systems function
• Implementation of digital marketing and price optimisation models in Megaladata
• Real-world use cases and practical examples in e-commerce and CRM
• The advantages of personalization and automation using low-code AI platforms

Speakers:
Daniel Núñez, Data Scientist at Neural Factory
Samvel Arustamov, Project Manager at Megaladata

Language: English

Register now to discover the best route to personalization and profitability with AI and Megaladata!