eComtics

Unified AI platform for end-to-end eCommerce Analytics to enhance customer experience


Why eComtics?

eComtics combines in-built predictive analytics and multi-source customer data, unlocking meaningful relationships between customers and products to drive conversions and increase revenue.


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Functions of eComtics

eComtics combines Machine Learning algorithms with Big Data technologies to create state-of-the-art eCommerce analytic platform with:

  • Personalized marketing
  • Recommendation Engine
  • Pricing Analytics Engine
  • Sentiment Analysis

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Functions of eComtics

How eComtics works?

eComtics combines big data technologies such as Hadoop, NoSQL data stores, in-memory analytic engines and massively parallel processing analytic databases with multiple machine learning algorithms to enable your eCommerce website to deliver a captivating user experience.

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How eComtics works?

Why eComtics?

Unified AI Powered eCommerce Analytics

eComtics has everything under one roof: data integration, data preparation and profiling, advanced analytics, machine learning, visualization and data export.

Unified AI Powered eCommerce Analytics

Deploy Anywhere

eComtics supports cloud, on-premise or hybrid deployments to align with your goals.

Deploy Anywhere

API Endpoints

eComtics provides API Endpoints to manage data and deliver analytics, bridging the gap between data and delivery.

API Endpoints

Zero Code

eComtics delivers state-of-the-art relevant analytics to the ecommerce platform without the need to write a single line of code through a simple, configurable interface: analytical power at your fingertips, instantly.

Zero Code

On Demand Scalability

eComtics provides the ability to scale the system dynamically based on application demands without any downtime.

On Demand Scalability

Integration with major eCommerce Platforms

eComtics enables integration with major eCommerce platforms such as Shopify, BigCommerce, Magento Commerce and WooCommerce.

Integration with major eCommerce Platforms

Functions of eComtics

Personalized Marketing

eComtics helps reach customers with granular one-to-one personalised messaging and promotions.
Highlights:

  • Devise communication strategies to deliver relevant marketing messages to targeted customers
  • Predict the customer’s response based on product appeal, offer receptivity and frequency of use

Personalized Marketing

Recommendation Engine

eComtics AI models help identify effective cross-sell / up-sell strategies based on historic purchase and customer preferences.
Highlights:

  • Identify products that sell in conjunction with each other on a dynamic basis, linking them with historic purchases to recommend offers and promotions
  • Identify products that drive the purchase of primary items

Recommendation Engine

Pricing Analytics Engine

eComtics’ AI-based pricing engine is designed to recommend optimum pricing of a product based on dynamically forecasted demand as well as effect of offers, promotions, competitor analysis, etc.
Highlights:

  • Maximize overall e-tailer profit through dynamic pricing: daily, seasonal, promotional and markdown
  • Manage competitive and complementary product pricing (cross-elasticity)

Pricing Analytics Engine

Sentiment Analysis

eComtics uses advanced NLP algorithms to analyze overall sentiment using customer comments, feedback and social media interactions for effective reputation management.
Highlights:

  • Helps to understand the overall customer sentiment for the products to increase brand/product affinity
  • Assess the market needs from the voice of the customer

Sentiment Analysis

Other unique features of eComtics

Some other unique features of eComtics are ontologies, knowledge graphs, image search and SEO.
Highlights:

  • eComtics search engine boosts the relevance of the queries dynamically based on user profile and browsing activity. Not only in words, but search by images too
  • eComtics knowledge graph enables insights into customer preferences by correlating customer profiles with products. This enhances customer experience and drives revenue

Other unique features of eComtics

How eComtics works?

eComtics Module

Models

Module Description

Personalized Marketing

Clustering Algorithms, Regression Analysis, Association rules, Markov Chain.

Drawing from the existing customer data eComtics machine learning models analyses billions of consumer interest variables and touch points, identifying specific customer’s interests and group customers with similar interests for effective targeting

Recommendation Engine

Content based filtering, Collaborative filtering, Multi-criteria recommender systems

eComtics uses appropriate filtering algorithms to extract the relevant information required to make the final recommendations.

Pricing Engine

Simulations, Heuristic Solvers, Multi Armed Bandit Algorithm

eComtics machine learning models dynamically forecasts demand, and uses a heuristic solver to search for relevant promotional campaigns to maximize total profit across all products in the category. At the end, a what-if analysis is done to quantitatively assess the pricing decisions.

Sentiment Analysis

Natural Language Processing (NLP), Rules-based Sentiment Analysis

eComtics’s sentiment analysis combines machine learning techniques and rule based systems to assign weighted scores to topics, entities, themes within customer comments to find out customer sentiments.