| Industry | Information Technology, eCommerce, FMCG & Retail, Marketing |
| Services | AI / ML Development, AWS Services |
| Stack | AWS S3, Amazon Neptune, SageMaker, VPC; custom ML algorithms |
Dune C360, developed by ViitorCloud, is a machine learning solution that lets businesses visualize customer activity on e-commerce platforms. It provides predictive analytics based on historical data, helping companies understand customer behavior and preferences, improve decision-making, and personalize experiences across sales, marketing, and support.
Dune C360 answers critical questions for businesses moving into big data and data-driven decision-making, extracting valuable insight from sources like web browsing, social media, and surveys so companies can improve products and services for competitive and economic gains.
The core goal was predicting user behavior by analyzing browsing and purchasing patterns to drive effective decisions through intuitive graphs and data modeling. This required building a seamless data pipeline, integrating ML and deep-learning models, and ensuring real-time data flow for predictive accuracy.
ViitorCloud built Dune C360 as an ML-powered platform that creates a unified, 360-degree customer view: data integration and preprocessing aggregating sources into AWS S3 with cleaning for training accuracy; real-time customer insights using AWS Neptune and SageMaker to visualize customer-interaction graphs for sales and marketing; custom ML model implementation with a Neptune ML pipeline for training and testing; and feature-importance evaluation to select the signals that best predict behavior.
The honest difficulty. The demanding part was building a reliable data pipeline that fed clean, real-time data into ML and deep-learning models — messy, multi-source customer data usually breaks predictive accuracy. Getting aggregation, preprocessing, and feature selection right is what made Dune C360's customer analytics trustworthy for real decisions.
Dune C360 gives businesses centralized customer analytics (a single-source view of behavior and preferences); data-driven decision-making backed by ML predictions on customer journeys; and enhanced user experience through personalization at each touchpoint.
Dune C360 delivered real business value: improved decision-making with actionable insight for sales and marketing; enhanced customer experience through accurate behavior predictions; and streamlined data management with a holistic view of customer journeys.
ViitorCloud's Dune C360 machine learning solution has transformed how companies use customer data — enabling informed, data-driven decisions and a predictive edge in competitive e-commerce. Its real-time insights help businesses elevate experiences and streamline operations.
If you're sitting on customer data but not decisions, a custom machine learning solution turns behavior into predictions you can act on. Talk to the ViitorCloud team or explore our custom AI solutions.
| Layer | Technology | Why it was chosen |
|---|---|---|
| Data store | AWS S3 | Central, low-cost landing zone to aggregate and preprocess data from all sources |
| Graph database | Amazon Neptune | Models customer interactions as relationships, with fast traversal versus relational joins |
| Machine learning | Neptune ML and SageMaker | Managed training and testing pipeline for behavior prediction without self-hosted ML infrastructure |
| Infrastructure | AWS VPC | Network isolation and controlled access for customer data |
AI / ML Development
AWS Services
Information Technology, eCommerce, FMCG & Retail, Marketing
What is Dune C360?
Dune C360 is a machine learning solution by ViitorCloud that aggregates customer data into a 360-degree view and uses predictive analytics to forecast behavior, powering data-driven decisions across e-commerce sales, marketing, and support.
What technology powers Dune C360?
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