Tanush Bansal
Category Demand Planner - Genpact | Driving Cost Optimization, Demand Forecasting & AI-Supply Chain Innovation | Ex-Nestlé, TATA Motors | Six Sigma Green Belt
- Role
- Business Analyst - Category Demand Planner at Genpact
- Location
- South Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Tanush Bansal
Supply Chain & Demand Planning professional with experience across FMCG, global distribution, and client-facing consulting environments, driving structured decision-making across $26M+ inventory portfolios and ₹700 Cr+ multi-SKU businesses.I specialize in S & OP and S & OE governance, forecast bias analytics, working capital optimization, and cross-functional alignment—partnering with Sales, Marketing, Finance, and Supply teams to translate volatility into controlled, data-backed outcomes. My approach combines operational rigor with strategic thinking, shifting planning from reactive variance tracking to predictive bias correction using structured diagnostics and ML-enabled forecasting models.Across roles, I have led initiatives spanning supply chain transformation, cost optimization, logistics network redesign, and strategic roadmap development—delivering measurable impact in service levels, revenue growth, and operational efficiency.With strong grounding in SAP IBP, Kinaxis, Blue Yonder, SQL, and advanced analytics, I am passionate about building resilient, insight-driven supply chains and operating at the intersection of FMCG execution and consulting-grade problem solving.
Experience
Business Analyst - Category Demand Planner
Nov 2025 — Present · Gurugram, IN
Category Demand Planner – Homecare BU | Client Engagement - Unilever Australia & New ZealandLeading data-driven demand transformation for Unilever ANZ Homecare across 4 brands, 200+ SKUs and a $26M annual inventory base.•Lead cross-functional consensus demand planning through S & OE governance and S & OP demand reviews, ensuring commercial, financial and operational alignment.•Built and scaled a Structural Bias Analytical Framework measuring forecast bias across L6W/L12W/L26W horizons for Lag4 & Lag1; institutionalized across categories to strengthen forecast accuracy governance.•Enhanced structural diagnostics by integrating demand volatility tagging and promo phasing correction logic to improve corrective action quality.•Institutionalized structured LoSTree deviation reviews to quantify promotional bias, incremental lift effectiveness and phasing distortions.•Drive baseline recalibration and statistically validate promotional uplifts to minimize systemic forecast bias.•Contribute to integrated forecasting transformation leveraging machine learning (XGBoost & Random Forest) to improve forecast accuracy and responsiveness.•Lead demand sensing through projected customer order variance, reserve n ration and volatility diagnostics.•Execute scenario-based simulations in Kinaxis Maestro to align PDQ planning, LCR mitigation and supply synchronization.•Oversee lifecycle planning including NPD mapping, history stitching and end-of-life inventory optimization.•Balance service, cost and working capital objectives through analytics-driven inventory strategy.
Education
Thapar Institute of Engineering & Technology
Bachelor of Engineering - BE, Mechanical Production Engineering
2019 — 2023
St Mary's School,Dwarka
High School
2007 — 2019
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