Vodafone DCA (Distribution Channels Automation)

Feb 1, 2008 · 2 min read
projects

Role Technical Team Lead.
Technologies/Tools J2EE, OracleDB10g, WebShpere Rational Developer.
Description Vodafone Egypt (VFE) has established agreements with indirect sales business partners (Agents) and 3rd party (Exclusive Dealers, Trade Key Accounts and Dealers) all over Egypt to address all country markets to ensure Vodafone projects and services availability nationwide. Vodafone Egypt sells its products to agents; agents in turn sell Vodafone products to exclusive dealers and dealers who eventually sell to end customers. The current number of agents is 7 with around 50 branches; the number of exclusive dealers is around 150 shops and the number of main normal dealers is around 7000. Vodafone Distribution Department would like to track VFE products’ sales movement performed by distribution channels in order to produce accurate incentive calculations and to be able to generate and view analytical reports on dealers’ sales patterns in order to study the market behavior versus various parameters (e.g. time, cities, zones, etc…). This project affects VFE, Agents, Trade Key Accounts, dealers and end customers and it is an online web-based application be accessed by VFE Sales staff and Agents for stock management, transactions recording and serialized products tracking. The application also enables VFE sales staff to view agents and dealers information and to evaluate their performance in order to manage their incentives. There are as well integrations with other 3rd party systems like Billing System, TIBCO, etc.
Asset Technology Group. Feb 2008 – Aug 2009 .

Asset Technology Group Software
Mohamed Ghalwash
Authors
Mohamed Ghalwash
Associate Professor
Mohamed Ghalwash is an Associate Professor of Artificial Intelligence at Ain Shams University / Zewail City of Science, Technology, and Innovation. Ghalwash is interested in developing machine learning and AI models for discovery of interpretable spatio-temporal patterns from complex events and exploiting their utilities in practical high impact real-world applications, focusing on analytics for healthcare, health behavior, decision support, and to support the generation of real world evidence from medical data, wearable devices and instrumented environments. He also has more than ten years of expertise in the software engineering industry, developing software that are currently being deployed, where he engaged in all phases of the project life cycle for the development of large business applications. My long-term goal is to put my footprints in the field of pattern recognition through contribution of original ideas and translating those ideas to end applications and products.