Logistics Planning

Capgemini • Logistics • Cybersecurity • 3 days ago
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Location
In office (Chennai)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 8, 2026. Capgemini scores B on the Alion truth index.

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Capgemini

Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.
capgemini.com • HQ: Paris, France • Research Institutes • Cybersecurity • Government • Science & Engineering • Management Consulting • Engineering Services • Systems Integrators • IT Consulting & Digital Transformation • 5000+ employees • Est. 1967
Tech stack of Capgemini
Backed by Bordeaux Technowest, Gilde Equity Management

Job Description

Demand Planner is responsible for analyzing sales trends and customer data to accurately forecast demand, ensuring optimal inventory levels and aligning supply plans with business objectives

Job Description - Grade Specific

Key responsibilities encompass:Technical Excellence: Demonstrating good knowledge of Silverkite, LSTM, Prophet, MLP, Croston, MA, TBATS, Exponential Smoothening, ETS, ARIMA, S Arima, LSTM – multivariate, Prophet – multivariate, Random Forest, Random Forest – multivariate, XGBoost, XGBoost – multivariate, CTOversee the development and maintenance of demand forecasts. Lead a team of demand planners and analysts. Collaborate with senior management to align demand plans with strategic goals. Analyze market trends and historical data to improve forecasting accuracy..

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