Data driven predictive
intelligence for Ecommerce
Data driven predictive systems yield multiple opportunities for store owners to understand their users and procure better products that guarantees better revenues. Smart cataloguing of products with personalised assortments guarantees better management of the inventory. The data extracted & analysed with advanced AI analytics helps stores reach out to a better targeted & precise segment of audiences in a way that appeals to them.
Listing Page
Reordering
Recommendation
Widgets
Detail page
Widgets
Cart Upsell
Widget
Google/ Facebook
Remarketing
Email & App
Notifications
Custom Integrations
Oorjit Ai is built on a custom Oorjit MVC framework that allows businesses to integrate their systems such as POS, ERP etc. to the ecommerce platform. Data from these sources will also be captured and analysed by Oorjit AI to give an optimised output for all users.
Deep learning Algorithm
Oorjit Ai Algorithms are data driven and hence the more the data available, the smarter your Ecommerce store becomes. Oorjit Ai adopts deep learning techniques to provide intelligent suggestions and recommendations based on user attributes that are analysed against unstructured as well as recognised patterns
Cognitive Intelligence
Oorjit AI adopts cognitive computing to create a self-learning ecosystem for your ecommerce stores. So even if your customers are burdened with choices our recommendation engine will guide them in choosing a preferred product. Cognitive intelligence are also applied in digital marketing applications powered by Oorjit Ai.
Personalised catalogues
Oorjit Ai Widgets are designed to provide user with an array of personalised products assorted as a catalogue. These widgets can be placed in any pages such as Home page, product listing page, product detail page, checkout page etc. the smart AI will ensure a different personalised catalogue is provided to the customer in each interface with prevalence given to maximum probability of eliciting a positive response from the customer.
Predictive Recommendation Engine
Oorjit Ai’s in-built recommendation engine predicts the preferences of each shopper by analysing their interest patterns such as product color, size etc. to provide best fit products. Oorjit Ai’s predictive capability rely on a probability model that assigns probability scores based on stored user data pattern inputs and visually merchandise products as recommendations & suggestions with a probability score of above 40%.
