Machine Learning with ERP
Location: Palace Theater - 11/5/19, 12:00 PM - 11/5/19, 12:20 PM (US/Pacific) (20 minutes)

Machine Learning with ERP
Maharshi Pancholi, Senior Business Analyst at Brainvire Infotech, Inc.

Brainvire has fueled Fortune 500 companies and startups. Its core expertise resides in Industry 4.0 technologies like Artificial Intelligence, IoT, Machine Learning, Cloud Computing, and Blockchain. Brainvire portfolio includes companies like Walt Disney, Alghanim Industries, Landmark Group, EagleHills, Times of India, Entrepreneur, Micromo, Havells, BottleRocket, and FreshDirect. Brainvire deals with open-source frameworks like Node.js, Python, PHP, and many premium Microsoft solutions. With over 11 international locations, 600+ workforce and over 1500+ successful implementations, Brainvire has alliances with industry leaders like Microsoft, Odoo, SAP, Magento, Google, and AWS. Brainvire’s popular products include eUnagi, inKnowledge, AuroCRM, and Control ERP, to name a few. Brainvire is committed to offering time-tested contributions by innovation in the field of Information technology, which helps us create paradigm shifts in the market by building products and services that take the industry towards a better future.

Everybody is looking for Machine Learning and AI technology to adopt in their Digital Transformation journey. One of the major requirements for this approach is data gathering because many companies do not hold such kind of data. The ERP is the best source of the data and best tool to adopt Machine Learning because it is responsible for making a business decision, so if we can do some prediction then it can help multiple businesses. We have developed multiple algorithm tools that help in making a better business decision and integrated with Purchase, Sales, and Inventory modules. The algorithm helps in making purchase decisions to get the best rates and good vendors from which we can procure things, and also how salespeople can look at the suggestion for selling different items and our recommendation engine does hold 95% accuracy for customer decision making. Plus we help with overall how we can help in increase profile and growth the business.


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