Facebook Twitter Instagram Linkedin Youtube
Science Technology Automation Robotics

Trade Easy - Trading made easy

Know More
FAB Easy
KNIT Easy


Objective:
Simple, On-time, Safe and Secure, Cost Effective

This application helps ease of doing business as time = money, people = money, effort = money
  • Buyer & seller details
  • Integrated platform for real-time inventory management, accounts, etc.
  • Extensively used by yarn traders successfully till date
  • Compatible with any trading business
  • Customisable with cloud storage facilities
  • Efficient login from desktop as well as mobile anywhere, anytime

Case Study

Client: Shresta Agency

Project: ERP Trading Solutions for Yarn Through Web Application

Problem statement :  No proper system available to track real-time yarn trading.
Solutions given: Analytics with backend support, transactions, reports, tally integration and inventory tracking in real-time through a web application developed by us.

Important Links

Download Brochure
Get In Touch

Pages

Others

Address

Sona Towers, 71 Millers Road, Vasanth Nagar, Bengaluru, Karnataka - 560052

Sona College of Technology, Junction Main Road, Salem, Tamilnadu - 636005

©️ 2022 Sona Star Innovation Pvt Ltd
Developed by InsideOut
Facebook Twitter Instagram Linkedin Youtube Whatsapp

We will get back to you

Sona Star Innovation Pvt Ltd
Or Call us on
(+91) 94425 92141

CORE COMPETENCY AREA

Data Mining
Big Data Analytics
IOT
Machine Learning
Compiler Design and Optimization
Data Structure
Algorithm Analysis
Bioinformatics
Computational Intelligence

Achievements

  • Secretary for CSI Salem Chapter 
  • Nomination Committee member for CSI Salem Chapter 
  • The Best Women Engineer Award by the Institution of Engineers.
  • Selected for 2010 Who’s who in the world, conducted by Marquis, USA.
  • Selected as a potential candidate to represent professional community in the 2010 edition of Cambridge Who’s who.
  • Data Analytics and Solutions Lab (Catalyzed & Supported by SEED Division, DST, New Delhi) – Set up and analyzing experimental case studies related to Breast Cancer Datasets in real-time.
  • Apple Lab for undergraduate students to develop ios app development projects, Collaborated internationally and developing app for English Learning Children through Artificial Intelligence and Machine Learning.