Qnum Analytics

Maximizing the return on assets by getting inventory shrinkage losses under control in the bulk manufacturing sector

  • Stage Product In Market
  • Industry Software
  • Location Delaware, OH, USA
  • Currency USD
  • Founded June 2020
  • Employees 6
  • Incorporation Type LLC
  • Website qnumanalytics.com

Company Summary

Qnum Analytics LLC was incorporated in 2018 and has points of presence in the USA, S. Africa, Kenya, and Nigeria. The founders identified an opportunity to help bulk manufacturing and distribution clients get their recurring inventory shrinkage losses under control. Our flagship OI Solution is a data-science powered Enterprise SaaS product that is aimed at delivering major cost savings for our clients. Subscription and risk-share revenue model

Team

  • Tech Entrepreneur and experienced C-Level executive with a demonstrated history of building, transforming and scaling businesses. A driven, resourceful and collaborative leader with proven ability to generate commercial opportunities, manage risk, execute complex deals and lead teams in cross-cultural settings. Experience in building combination of innovative and cutting edge start-ups focused on disrupting the fintech and technology space.

  • An industrial engineer with three years of experience in financial services, one year in engineering consulting and 4 years as an entrepreneur Bernard Serote specialises in business engineering. He has applied this aspect of industrial engineering to focus on the development and implementation of business solutions; from business model to business processes, organisational structure to information systems, as well as information technology.

  • I am an experienced supply chain improvement expert with a demonstrated history of working in various manufacturing & transportation industries. My passion is delivering tangible bottom-line improvements, to organisations that are genuinely invested in providing value to customers - through the products and services they produce.

  • am a technology entrepreneur working on a disruptive project in the dry bulk inventory reconciliation space. I also have an interest in developing and backtesting quantitative trading strategies.

    R and Python biased!

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