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Building AI With MongoDB: How GoBots AI for E-commerce Increases Retailer Sales Conversion by 40%

Blog post from MongoDB

Post Details
Company
Date Published
Author
-
Word Count
3,532
Company Posts That Month
41
Language
English
Hacker News Points
-
Post removed?
No
Summary

GoBots, an AI-driven customer service platform, is revolutionizing e-commerce experiences by leveraging AI, analytics, and MongoDB Atlas to facilitate smarter interactions and personalized customer experiences for retailers in Latin America. Founded with the goal of making AI accessible to all retailers, GoBots uses natural language understanding models to automate customer interactions and improve engagement and conversion rates for over 600 clients, including major brands like Adidas and Samsung. The platform, built with advanced technologies such as the Rasa framework and PyTorch microservices on Google Cloud, utilizes MongoDB Atlas to store, analyze, and enhance customer data, supporting real-time response and ongoing AI model tuning. By adopting Atlas Vector Search and exploring large language models, GoBots aims to further enhance retail marketplace experiences, backed by MongoDB’s flexible and high-performing database system, which enables rapid application development and operational efficiency.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 6 1,909 252 81 -13%
LLM 3 2,627 348 132 -1%
Real-time 3 2,769 672 193 +9%
AI Model Fine-tuning 1 499 125 79 +2%
Developer Experience 1 345 162 89 -17%
Kubernetes 1 1,935 209 84 +9%
Observability 1 1,514 290 91 +23%
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