Rohan Karwa
Manufacturing | Demand Planning | Forecasting | Supply Chain Analyst | Data Analytics | Inventory Management | Procurement | Decision Making | Problem solving | Excel Automations |
- Role
- Senior Demand Planner at General Mills
- Location
- Thane, MH, IN
- LinkedIn followers
- 500 followers
About Rohan Karwa
Currently Working at General Mills as Senior Demand Planner working upon Demand planning…
Experience
Senior Demand Planner
Jan 2024 — Present · Mumbai, IN
Demand Planning at SKU-Customer-Location level Forecasting using Trends/Seasonality, Service Drivers, Case fill Levels and Refiles, Aging of Inventory, New Product Development & Cannibalization, Multiple Stake Holders Connect, CSF Splits by Logical Interpretation, S & OE and S & OP, Inventory Distribution and Waste Analysis, SKU Splits and IPA Splits, Forecast Disaggregation from PEL-SC to SKU-IPA Promotional Volume Distribution, volumetric Differentiation (Pareto Analysis), SKU Segmentation (ABC & XYZ), Weekly & Monthly Review Connects (Summary, Business updates, Business Challenges, Insights)Projects –Multiphase Disaggregation – A formulated Excel tool with a blend of logic, to disaggregate volumes from PEL-SC-Month to SKU-IPA-LOC-Week (time saving 3hrs/DA/month, accuracy increase ~3%).Logi Split – Excel tool which automates the realignment activity, handling multiple SKU-Customer-LOC & waves simultaneously to ensure comprehensive realignment processing (time saving 20hrs/activity)Governance360 – An automated MACRO based Excel tool, which helps to track volume and accuracy at Customer IWL.(Time saving 20mins/OU, error plotting, increased Serviceability, automation)Change Monitor – Integrating formulation with Macros to get a quick result in the desired form, streamlining variance generation for OUs at IW and IWL levels, enabling quick execution and efficient monitoring of daily changes.(time saving 30 mins/DA/day, track system errors, proactive actions)Achievements –Highest Accuracy 4wk IWL for NAF – PIZZA (57% v/s target 45%), NAR – ANNIES (52% v/s target 39%), MFOU – YOGHURT (81% v/s target 75%), SNACKS – SALTY (60% v/s target 49%).Recognised for saving Waste of 8.93MM $ of inventory by optimal decision modelling.
Education
Savitribai Phule Pune University
Bachelor of Engineering - BE, Mechanical Engineering
2014 — 2018
Thakur Institute of Management Studies and Research
Master in Management Studies, Operations
2019 — 2021
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