“In 2016, retail e-commerce sales worldwide amounted to 1.86 trillion US dollars and e-retail revenues are projected to grow to 4.48 trillion US dollars in 2021. Online shopping is one of the most popular online activities worldwide, but the usage varies by region”
- statista.com

E-commerce started with the Technology boom in deveoped countries is now looking at innovation and expansion using Data Science tools and techniques. Being advanced in terms of technology adoption the applications of data sciene are numerous. Probyto follows e-commerce and have been working to deliver data science solutions for increasing bottom line of companies.

Customer Segmentation

Dynamic Pricing

Demand Forecasting

Online and Retail marketing

  • Real-time pricing using “second by second” metrics (e.g. supply chain and inventory data, competitor pricing, market and consumer behavior data)
  • Sentiment analysis of social media streams, call center records, product reviews, etc. for customer feedback and market insights
  • Location-based and personalized offers on mobile devices
  • Tailored offers through online behavioral analysis and web analytics
  • Demand-driven forecasting through a combination of structured and unstructured data

Probyto have combined experience of domain knowledge for Data Solutions, Technology, Algorithms and use-case knowledge to help you create more impact with Data in E-Commerce. We can help you uncover data sources and integrate them into one platform. Also assist to deploy visualisation platforms and build stories for business metrics.


Karthik Ramasubramanian


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