Aroon Grover

About Aroon Grover

I build AI and analytics systems that become part of how a business runs — forecasting, pricing, optimisation, and decision models embedded into daily operations, not reports that sit on a shelf.Over 23 years across Asia-Pacific, I have operated at the intersection of advanced analytics and commercial leadership. With a Master’s in Data Analytics (RMIT University, Melbourne) and an MBA, I translate machine learning capability into measurable business outcomes.Currently, I serve as GM – Analytics, AI & Strategy at 7-Eleven India (Reliance Retail), where I lead production-grade ML systems across demand planning, pricing, workforce optimisation, and supply chain operations. Recent outcomes include a +25% improvement in forecast accuracy and reducing workforce cost-to-revenue ratio from 25% to 13%. I also established the AI Centre of Excellence, model governance framework, and ML lifecycle standards.Previously, I founded Dionysius AI, advising enterprise clients across Retail, FMCG, Logistics, and BFSI on forecasting, pricing, optimisation, and AI transformation. Earlier, as Head of Data Science at Trakomatic (Singapore), I led AI and computer vision deployments for flagship retail environments, including a 700+ camera implementation for the relaunch of Funan Mall (CapitaLand), and delivered regional solutions across Thailand and Malaysia.Earlier leadership roles with Mintel, Nielsen (Affinnova), and Firmenich built deep commercial expertise across consumer markets, innovation, and growth strategy — grounding my AI work in real P&L impact.Core areas: AI Transformation | Forecasting | Pricing Optimisation | Supply Chain Analytics | Workforce Optimisation | Data Science Leadership | MLOps | Decision Systems | Retail & FMCG Analytics | APAC Growth Markets

Experience

1. Gm, Ai, Analytics & Strategy

   7-Eleven

   Aug 2024 — Present · Mumbai, IN

   Lead AI and data science strategy for 7-Eleven India — one of India\'s largest organised retail networks — directing a direct analytics team of 4 specialists and partnering with a parallel data engineering function to build and scale production-grade ML systems across 10M+ rows of daily operational data.• Defined and own the AI and analytics product roadmap across forecasting, pricing, assortment, and workforce optimisation — translating business strategy into production ML systems embedded into daily operational decision-making.• Designed and deployed production-grade demand forecasting at store × SKU × day granularity across 10M+ data rows — improving forecast accuracy by 25% and reducing inventory waste by 18%, directly improving margin and stock availability.• Built workforce planning optimisation models that reduced cost-to-revenue ratios from 25% to 13% — delivering one of the most material efficiency gains across the retail operations portfolio.• Developed price elasticity and differential pricing models for Fresh Food categories, enabling data-driven premiumisation strategies that improved category margins and optimised commercial performance.• Established and governs scalable ML pipelines, feature engineering frameworks, and model lifecycle management practices — ensuring reproducibility, monitoring, and reliable performance of production systems at scale.• Founded the AI Centre of Excellence, embedding analytics and decision systems into enterprise workflows across supply chain, commercial, and operational functions — creating the institutional capability for data-driven planning at scale.

Education

• Monash University

  Data Visualisation and Analytics

• Hansraj College

  Bachelor of Science

• Institute of Technology & Sciences (SGRRIT)

  Master of Business Administration (MBA), Marketing

• RMIT University

  Master of Analytics