---
title: "Sabarish Srinivasan - VP - Head of Product & Data Analytics in Greater Bengaluru Area | Tal"
description: "Meet Sabarish Srinivasan, Vice President @ Razor Group GmbH | Product & Data Analytics | eCommerce & Digital Retail Tech based in Greater Bengaluru Area. AI stack includes opencode and claudecode."
image: "https://tal.club/meet/sabarish-srinivasan/share-image"
---

# Sabarish Srinivasan on Tal

## Headline

Vice President @ Razor Group GmbH \| Product & Data Analytics \| eCommerce & Digital Retail Tech

## About

A strategic product and analytics leader known for strong leadership, analytical thinking, structured problem solving, stakeholder management and collaborative execution, with a passion for building teams and delivering measurable business impact\. Driving enterprise transformation through Product Strategy, Data Analytics, AI Transformation and Decision Intelligence, building scalable platforms that strengthen profitability, operational efficiency and data\-driven decision making\. Leading impact across Omni\-channel fulfillment, Supply Chain Optimization, Demand Forecasting, Pricing Strategy, Revenue Growth, Enterprise Analytics, Intelligent Automation and Digital Product Platforms for global organizations\. Recognized for modernizing legacy systems, and building marketplace and supply chain platforms used across multiple geographies\. Seasoned Leader with deep experience setting OKRs, product governance, and agile delivery\.

## Location

Greater Bengaluru Area

## AI stack

opencode

claudecode

## Work experience

VP \- Head of Product & Data Analytics at Razor Group, Mar 2022 \- Present · 4 yrs 6 mos, Bengaluru, Karnataka, India, Owning the product vision and roadmap for a global eCommerce business managing 200\+ brands with $XXXMn\+ in revenue across Amazon and other channels to deliver high\-impact, user\-centric outcomes\. • Directed enterprise Product Strategy and Data Analytics transformation, aligning Revenue, Finance and Supply Chain platforms while strengthening KPI visibility and data governance through a unified decision intelligence ecosystem\. • Built a global Vendor Management and Procurement Platform serving 2000\+ vendors, accelerating digital onboarding by 50%, reducing e2e supply chain lead time by 38% and improving working capital cycles by 30 days\. • Built a scalable Replenishment and Inventory Optimization platform, sustaining 95% product availability across multiple markets\. • Established a centralized enterprise data architecture and single source of truth, improving data accessibility, business intelligence and cross functional performance monitoring across global operations\. • Deployed AI powered operational agents for vendor and freight management, automating manual workflows, improving OTIF tracking to 100% and shortening production timelines by 20 days\. • Launched a data driven Pricing Optimization and Marketing Intelligence platform, improving CM from 10% to 16% YoY through advanced analytics and strategic pricing decisions\. •Built an affiliate marketing and performance channel analytics platform providing spend attribution and ROI intelligence across digital channels,through data\-driven channel optimisation and marketing effectiveness measurement\. • Built a GenAI\-powered A/B testing and content optimisation platform that automated listing content and image optimisation at scale, improving conversion by 4% through continuous intelligent experimentation across 200\+ brands\. • Implemented AI driven catalogue intelligence and content optimization, increasing CTR by 10% during peak sale cycles while improving merchandising performance and reducing inefficient ad spend\.

Assistant General Manager \- Product at Paytm, Jun 2021 \- Mar 2022 · 10 mos, Bangalore Urban, Karnataka, India, • Led development and deployment of an in\-house payments risk engine and fraud detection framework, strengthening transaction security, fraud analytics and risk governance, while reducing customer fraud by 2%\. • Redesigned the merchant onboarding journey and seller experience platform, applying product analytics and UX optimization to reduce onboarding drop offs and accelerate marketplace seller activation\. • Directed fashion category growth strategy across demand planning, merchandising analytics and digital marketing optimization, increasing CTR by 50% and conversion by 7% through data driven assortment and campaign intelligence\. • Built scalable data pipelines, analytics dashboards and business intelligence systems, enabling leadership teams to identify consumer demand cohorts, purchasing trends and revenue opportunities in real time\. •Built consumer acquisition and retention frameworks that reduced Customer Acquisition Cost \(CAC\) by 12% through smarter audience targeting and channel optimisation, and improved three\-month retention rates by 10% through data\-driven re\-engagement strategies\. • Strengthened customer experience management through NPS frameworks, catalogue enrichment programs, product quality monitoring and assortment intelligence, delivering a 10% improvement in customer satisfaction scores\. • Implemented AI driven search, recommendation and merchandising optimization models, improving product discovery, conversion performance and inventory utilization across the marketplace\. • Designed advanced pricing algorithms and clearance optimization models, enabling smarter liquidation of slow\-moving inventory while maximizing top\-line revenue contribution and margin efficiency\. Specialties: Product Analytics, E\-commerce Platforms, Fraud Detection Systems, Customer Experience Optimization, Demand Planning, Merchandising Analytics, Pricing Algorithms, Data Pipelines, Recommendation Systems, Marketplace Strategy

Fashion \- Planning & Analytics at Flipkart, May 2017 \- May 2021 · 4 yrs 1 mo, Bangalore Urban, Karnataka, India, Led initiatives that transformed inventory planning and analytics at Flipkart, achieving notable improvements in efficiency and capital management\. • Architected advanced retail analytics and decision intelligence frameworks for the fashion business, enabling leadership teams to drive data backed category strategy, demand forecasting and revenue optimization\. • Led supply planning and FP&A transformation initiatives, optimizing inventory strategy for long tail categories and reducing inventory holding days from 110 to 80, improving working capital efficiency\. • Developed real time business intelligence and performance analytics platforms, increasing daily sell through from 0\.8% to 1\.1% through faster insights and operational decision making\. • Built scalable seller analytics and marketplace performance frameworks for the Seller Fulfillment Model, strengthening seller participation, profitability and supply network performance\. • Strengthened logistics and operational performance through advanced network planning, shipping analytics and fulfillment optimization, improving delivery speed by 1\.5\+ days while reducing cost per shipment by 5%\. Specialties: Supply Chain Analytics, Inventory Optimization, Demand Forecasting, Marketplace Analytics, Business Intelligence Platforms, Retail Analytics, Fulfillment Optimization, Seller Analytics, FP&A Planning, Data Driven Decision Making

Central Planning & Analytics \- Marketplace & Retail at Flipkart, May 2015 \- Apr 2017 · 2 yrs, Part of the initial Planning team to build the Flipkart Advantage, a seller ramp\-up model which involves demand & supply planning of seller owned inventory; built seller metrics and tracked them through Seller Score Cards; based on the seller metrics, plan and allocate storage space as per the regional demand; owned the metrics for % share of business & RU • Identified process gaps in Seller onboarding due to CAs, set up the process flow and the PRD to build a portal for CAs and sellers; program managed the building and setting up of the portal by interacting with multiple stakeholders from Legal, Product, Finance, IT and external product developers • Designed the first ever policy for inventory health and placement at a central level to monitor Inventory Health metrics for Flipkart to drive customer retention and speed; initiated merchandizing/liquidation options for unhealthy inventory for cases where it was beyond the acceptable threshold; constantly enhanced the visualizations for Inventory Health & Placement which highlighted the areas which could be stocked better, allowing faster delivery thereby improving customer experience • Created automated reports to alert the categories for cases where bad inventory was ordered and gave them visibility into the possible savings that can be made from supply chain costs • Provided pricing recommendations for the SM\-NM inventory basis the provisioning to optimize for revenue and profitability

Senior Business Analyst at Mu Sigma Inc\., Jan 2014 \- May 2015 · 1 yr 5 mos, Bangalore Urban, Karnataka, India, • Delivered advanced consumer behavior analytics and market segmentation models for retail and telecom clients, enabling data driven targeting, campaign optimization and customer lifecycle strategy\. • Built scalable price elasticity and pricing optimization models across 1000\+ retail locations, helping businesses refine competitive pricing strategy and improve revenue realization\. • Applied machine learning techniques including K\-Means clustering and predictive analytics to identify customer cohorts, demand patterns and market opportunities\. • Developed business intelligence reports, dashboards and analytical storytelling frameworks, enabling senior leadership to make faster data driven strategic decisions\. • Partnered with cross functional stakeholders to translate complex data science insights into actionable business strategies, strengthening category planning, pricing governance and market competitiveness\. Specialties: Consumer Analytics, Customer Segmentation, Price Elasticity Modeling, Predictive Analytics, Machine Learning, K\-Means Clustering, Retail Analytics, Telecom Analytics, Business Intelligence, Data Visualization, Competitive Intelligence, Market Analytics

Business Analyst at Mu Sigma Inc\., Sep 2012 \- Dec 2013 · 1 yr 4 mos

## Education

Bachelor's degree, Chemical Engineering, B\. M\. S\. College of Engineering

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