about e-commerce.ai

eCommerce.ai is a complete end-to-end Data Science, Graph, AI/ML Analytics technology framework to support data gathering, mining, wrangling, analysis including visualization & performing AI/ML Analytics on data, with intent to understand, support and predict eCommerce operations to support daily business operations for small, medium and very large organizations.

Galp's Hackathon Retail 4.0

eCommerce.ai is an official project submitted as Galp's Hackathon Retail 4.0 Hackathon project work. This documentation is published in GitHub gh-pages branch and does include executed Code & examples. Complete source code is also available under main GitHub Branch.

Author

Author

Author: Amit Shukla

Bio: about me

Last Update Date: May 20 2022

Who should read this: ERP Consultants working with small, medium, large orgs

Version: 0.22

Sponsorship: open for funding

GitHub YouTube Twitter LinkedIn Medium

Platform

Platform

Frontend: Julia 1.7.1

Backend: Oracle OCI Cloud, Oracle ADW (Autonomous data warehouse) | TigerGraph/Oracle Graph DB

Rest API: Julia, TGCloud RESTAPI

AI: Julia, FLUXml.ai, Oracle AutoML

how to use this book

This book first version is completely free(v1.2) and is published as website under GitHub gh-pages branch.

Most of the source code is MIT License, (except few ML/Deep Learning algorithms, which are proprietary and customer owned content).

Complete source code can be found here. https://github.com/AmitXShukla/eCommerce.ai

Table of Contents


ERP Systems

eCommerce.ai package supports following ERP systems data structures.

Oracle, PeopleSoft, SAP, Tally, Intuit, QuickBooks etc. I will cover examples from ERP Domains like GL (General Ledger), AP (Accounts Payable), AR (Account Receivables), B2P (Buy to Pay), Expense, Travel & Time, HCM Human Capital Management, CRM etc.