Mownesh Devuni

ac23qb@r.postjobfree.com

205-***-**** ©

Summary

Experienced in offering 8 companies full cycle support with implementations, configurations, customizations, business processes transformations, training and systems optimization of IBP on HANA and Hana Cloud Platform solutions.

Experienced in developing custom functionality like shelf life planning/ quality lead time/ planning based on batch characteristics.

Passionate about understanding the business pain points and alleviating them leveraging Out of the box functionality wherever possible and building/ Implementing additional functional to meet the customer needs.

True business partnership: Customer Trusted Advisor; unique end-to-end view of enterprise solutions

Experience implementing Supply chain / S&OP / IBP processes and tools in Pharmaceutical, Hitech, chemical, Agro, technology sectors

Deep cross-industry understanding of supply chain planning and collaboration processes (both supplier and customer facing)

Excellent writing skills and presentation skills for multiple target audiences, including senior management and excellent communication, collaborative, and people skills

Extensive experience with Data modeling, data management and business intelligence, business process modeling.

Experienced in providing a full range of customized support including hands-on configuration, customization, business processes transformations, employee training and development of roadmaps that maximize return and remarkably reduce implementation risks

PROFESSIONAL EXPERIENCE

Monsanto Sep ‘16 – Sep ‘17

IBP Control Tower and Supply Solution Architect

Monsanto is an agrochemical and agricultural biotechnology corporation. Successfully lead the 2-phased implementation of SAP IBP tool meet Monsanto’s S&OP, demand and supply planning process. Monsanto’s demand and supply balancing process needed a tool that had the ability preposition the right quality, treatment, size at the right to meet the customer demand. Additional Key functionality and KPIs like quality lead time (similar to shelf life planning), bagging the cheapest quality raw material (that has the risk of degrading in quality) before picking a higher quality raw material which are not available in IBP out of the box were implemented.

Client Challenges and Resolution

The lack of planning system to enable Demand and Supply balancing processes has resulted in delaying the decision-making process:

•Lack of Supply Visibility (i.e. availability, inspection End Dates, batch quality characteristics, lead times) across the Supply Chain impacted the ability to commit supply to meet Demand.

•Planners were using reports and excel spreadsheets to planning purposes, which lead to data inconsistencies, decreased the Data confidence, impacting the time it takes to align on a plan in S&OP process and eventually to execute to plan.

•Gaps within communication and decision-making processes within and across functional teams.

•Delay in reporting and updates to planning data.

•Current weekly Control Tower Process taking 14 days instead of the intended process design of 5 weeks.

The Key Benefits

Leverage out of the box capabilities of SAP’s IBP Supply module and added additional functionality to enable key aspects of their IBP and demand/supply balancing processes:

•Providing ability to make updated to the demand and supply plans in using Excel based interface that planners are familiar to.

•Created a process to expedite the process of executing to the plan. Automated creation of Planned Orders (PLO) and Stock Transport Requisition (STR) after the plan was aligned in the S&OP meeting.

•Optimization Engine matches the Demand with Supply by looking standard constraints (available out of the box) like transportation, production lead times, costs (Non- delivery, late delivery, production, transportation, Holding) and other constraints (not available in IBP) Batch Characteristics like Inspection End Dates/ Quality Lead time and input material

•Key measures like Ready to Sell (forecasts when (which week) and where (which DC) the inventory would be available to sell by looking into the batch characteristics like Inspection End Dates, quality lead times, transportation, production lead times and KPIs like ready Cumulative Forecast, Supply

•Standard WebUI Dashboards and charts enable Executive Dashboards and custom excel views enable advanced analysis and reporting.

•JAM process collaboration to enable S&OP process

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Microsoft Corporation Jan ‘16 – August ‘16

IBP Solution Architect

Microsoft develops, manufactures, licenses, supports and sells computer software, consumer electronics, etc

Client Challenges and Resolution

•Microsoft Surface and XBOX division experienced 2 unsuccessful S&OP process implementations using IBP on HANA.

•Understood the current challenges MSFT was facing in current S&OP process and tool adoption. Architected a roadmap for future rollouts to improve the user adoption and derive full value out of the tool.

•Redesigned the S&OP process and to address the immediate pain points around longer S&OP process cycle and Executive S&OP.

The Key Benefits

Leverage the capabilities of SAP’s IBP S&OP module to enable executive S&OP and Bottom up Demand Planning processes:

•Improved Demand Planning process cycle by 2 weeks. Automated the S&OP process to a point where S&OP and Executive S&OP processes are executed using SAP IBP on HANA.

•Improved the user adoption by 30% and Forecast accuracy 15%

•Shorten the decision-making process by delivering capability to execute NPI, Sell thru and Open to Buy scenarios on demand.

Kraft June ‘14 – Nov ‘14

IBP/ HCI consultant

Kraft Foods Group, Inc. is an American grocery manufacturing and processing conglomerate headquartered in the Chicago.

Top Objectives

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•Manual process of gathering Data from different sources was delaying the monthly S&OP process

•Inconsistency in the data gathering process impacted the confidence in Data.

•Planners were looking at multiple spreadsheets (from different data sources) to finalize and align on plan

•Alleviate the current data integration challenges that arise from using standalone spreadsheets

•Improve cross functional collaboration as multiple demand and supply scenarios are generated and evaluated

The Resolution

•Leverage the capabilities of SAP’s HCI to extract data from different sources and load into IBP in time for S&OP planning. Build a custom excel planning view to enable reporting and advanced dashboarding.

•Flexible aggregation logic (product, customer, location, assets, & network attributes)

•The capability to analyze and evaluate a series of business scenarios across the planning horizon, with side-by-side by comparison

The Key Benefits

•There is now a single “source-of-the-truth” reducing the amount of time spent reconciling numbers

•Planners continue to use a tool they are familiar with – Excel - while having standardized templates that focus their efforts and are available online and offline

•Ability to quickly create plans for different business scenarios and perform “What-If” analysis

Albemarle June ‘13 – Nov ‘13

IBP Supply Solution Architect

Albemarle is a specialty chemical manufacturing enterprise

Top Objectives

•Sun set complex Demand and Supply planning processes that were executed using standalone spreadsheets using a planning application.

•To shorten and standardize the monthly S&OP planning cycle painful demand and supply gathering process

•Alleviate the current data integration challenges that arise from using standalone spreadsheets

•Improve cross functional collaboration as multiple demand and supply scenarios are generated and evaluated

The Resolution

Leverage the capabilities of SAP’s S&OP Supply Planning module to enable key aspects of their IBP and demand/supply balancing processes:

•Flexible aggregation logic (product, customer, location, assets, & network attributes)

•The capability to analyze and evaluate a series of business scenarios across the planning horizon, with side-by-side by comparison

•The ability to perform rapid automatic supply chain planning simulations based on global and regional networks of manufacturing sites, warehouses and clients

The Key Benefits

•There is now a single “source-of-the-truth” reducing the amount of time spent reconciling numbers

•Planners continue to use a tool they are familiar with – Excel - while having standardized templates that focus their efforts and are available online and offline

•Ability to quickly create plans for different business scenarios and perform “What-If” analysis

•The ability to quantify the impact of a change in demand in a particular product chain and its subsequent impacts on related product chains in a single view

Topcon Positioning Systems, Inc. Dec ‘13 – April ‘14

S&OP Solution Architect/ Project Lead

TPS is the world’s largest company focused exclusively on positioning control and machine control products, software, and applications for the survey civil engineering, construction and agriculture industries

Top Objectives

•Creating and developing a fully integrated Sales and Operations Planning Process. Providing executive analytical reporting with drill down capability to see detailed levels such as business unit, product line or product family, geographical region, market segment, distribution channel or Industry, country, product type, and material number.

•Comparing and simulating demand and sales data against financial guidance for multiple business scenarios (i.e. budget versus forecast and budget versus committed revenue)

• Enabling collaboration between cross functional teams to successfully manage the S&OP process.

The Resolution

Leverage the capabilities of SAP’s S&OP Powered by HANA to system enable key aspects of their demand balancing processes:

•Flexible aggregation logic (product, customer, location, plant, and sales office attributes)

•The capability to analyze and evaluate a series of business scenarios across the planning horizon, with side-by-side by comparison

•Integrated data flow between S&OP on HANA and ECC using SAP HCI

The Key Benefits

•There is now a single “source-of-the-truth” reducing the amount of time spent reconciling numbers

•Planners continue to use a tool they are familiar with – Excel - while having standardized templates that focus their efforts and are available online and offline

•The ability to quantify the impact of a change in demand in a particular product chain and its subsequent impacts on related product chains in a single view

•Reduced manual work, reduced errors and improved plan performance

•Improved visibility to planning information

Exxon Mobil June ‘13 – Nov ‘13

S&OP Implementation Consultant

With 37 oil refineries in 21 countries, it is the largest refiner in the world.

Top Objectives

•To system enable the complex integrated business planning (IBP) process at, which is currently supported by Excel spreadsheets

•Alleviate the current data integration challenges that arise from using standalone spreadsheets

•Improve cross functional collaboration as multiple demand and supply scenarios are generated and evaluated

The Resolution

Leverage the capabilities of SAP’s S&OP Supply Planning module to enable key aspects of their IBP and demand/supply balancing processes:

•Flexible aggregation logic (product, customer, location, assets, & network attributes)

•The capability to analyze and evaluate a series of business scenarios across the planning horizon, with side-by-side by comparison

•The ability to perform rapid automatic supply chain planning simulations based on global and regional networks of manufacturing sites, warehouses and clients

The Key Benefits

•There is now a single “source-of-the-truth” reducing the amount of time spent reconciling numbers

•Planners continue to use a tool they are familiar with – Excel - while having standardized templates that focus their efforts and are available online and offline

•Ability to quickly create plans for different business scenarios and perform “What-If” analysis

•The ability to quantify the impact of a change in demand in a particular product chain and its subsequent impacts on related product chains in a single view

Allergan, Inc. Feb ‘13 – June ‘13

S&OP Consultant

Allergan, Inc. is a multi-specialty health care company focused on discovering, developing and commercializing innovative pharmaceuticals, biologics, medical devices and over-the-counter consumer products.

. Top Objective

•Make Planning decisions with a complete view of the impact on revenue

•Simulate alternatives, and use What-If analysis to arrive at an optimum Plan

•Achieve an easy, consolidated view of Demand, Supply and Finance plans

•Manage the planning process by Exception (e.g. by setting thresholds Alerts)

•Present up-to-date information to Executives through S&OP views

The Resolution

Implement S&OP Powered by Hana and leverage core functionality to enable achievement of their goals and address their challenges. Specifically:

•Establish a common data model that will consolidate Demand, Supply, and Finance plans and provide increased visibility

•Provide scenario capabilities that will enable them to do what-if analysis and comparisons to arrive at the optimal plan

•Define a standardized process and with alerts to drive process discipline and exception Management

The Key Benefits

•Reduced manual work

•Reduced errors and improved plan performance

•Improved visibility to planning information

SMART Modular Technologies Oct ‘12 – June ‘13

S&OP Implementation Consultant

SMART Modular is a technology leader in the design, development, and deployment of current and next-generation memory products.

Top Objectives

•To standardize and improve their S&OP process by eliminating a set of cumbersome and error prone spreadsheets that are used for collecting field forecasts, generating revenue plans, and balancing demand and supply plans

•Provide for scalability and integration with backend systems while creating the tools that will drive continuous process improvement and enable collaboration

The Resolution

Leverage the capabilities of S&OP Powered by Hana to:

•Establish a standardized five-step process with specific activities and tasks to drive process discipline

•Define a set of KPI’s, Analytics, and Alerts to drive continuous plan and process improvements

•Develop a set of specific planning view templates linked by a common data model to reduce errors and improve collaboration

The Key Benefits

•Moved from a stand-alone spreadsheet managed environment with little integration to a fully integrated central repository for planning information

•Gained the ability to do comparisons, modeling, and analytics at any phase of the process at multiple levels of data granularity

•Reduced manual work

•On the road to improved forecast accuracy and plan performance due to ability to generate KPI’s and apply learning’s from past performance into future plans

•Improved confidence and integrity in the S&OP process

Applied Materials, Inc. Jan ‘12 – September ‘12

Steelwedge S&OP Implementation Consultant

SMART Modular is a technology leader in the design, development, and deployment of current and next-generation memory products.

Top Objectives

•To have one source of truth for Revenue and Quantity based S&OP.

•Provide ability to create upside opportunity assessment scenarios to analyze the S&OP plan.

The Resolution

Leverage the capabilities of Steelwedge S&OP tool to:

•Orchestrate the S&OP process through steelwedge collaboration.

•Implemented scenario management for both risk management ( downside ) and opportunity analysis ( upside )

The Key Benefits

•Improved productivity by transitioning from Excel, SharePoint based S&OP process to automated steelwedge S&OP process.

•Ability to look at the impact of new or potential opportunities to Revenue.

Dow Chemical Co. July ‘11 – Jan ‘12

Steelwedge S&OP Implementation Consultant

The Dow Chemical Co., is the second-largest chemical manufacturer in the world by revenue and the third-largest chemical company in the world by market capitalization. Dow manufactures plastics, chemicals, and agricultural products.

Top Objectives

•To implement constrained planning and integrate it with the current S&OP process

•Institute a Revenue focused S&OP process vs a cost focused approach

The Resolution

Leverage the capabilities of Steelwedge S&OP tool to:

•Implemented the ability to manage the supply constraints within the S&OP tool, prior to the implementation the process was extremely difficult to manage through spreadsheets

•Define financial metrics to understand the impact of the volume of Revenue in real time.

•Develop a set of specific planning view templates linked by a common data model to reduce errors and improve collaboration

The Key Benefits

•Prior to the implementation the process was extremely difficult to manage through spreadsheets, having the ability to do rough cut capacity planning on the fly helped the planners save considerable time.

•Ability to generate and compare what if scenarios on the fly.

•Visibility to forecast accuracy and Inventory Levels in the same view.

Gap Inc June ‘08 – May ‘11

Operations Research Consultant

Developed processes to enhance product Demand Forecasting by Calculating Seasonality, Elasticity and Base Demand which impacts the allocation of the right product in the right store at the right time.

Enhanced the existing OTB process (similar to S&OP process) by reporting metrics that give visibility to process adoption and forecast accuracy.

Developed Assortment Localization tool to guide planners localize assortments based on each location's specific customer preferences.

Old Navy June ‘08 – Jan ‘10

Store Planner

Managed the development, execution and communication of merchandise financial plans and strategies that support the merchandising, marketing, and financial objectives of 58 Old Navy Outlet US Stores and 72 Old Navy Canada Stores.

Managed the Long Range planning process and review division/department or class financial plans and ensure plans support broader brand/category strategies.

Increased the Store/ Product level forecast accuracy by creating a MATLAB based tool that generates Store/ Product Class level Demand.

Gap Inc Feb ‘07 – Feb ’08

Operations Research Consultant

Developed Retail Analytics solutions such as Customer Segmentation, Traffic Analysis, Market Basket Analysis, Next Likely Product, Assortment Management Analysis, Product Localization Analysis, Store Segmentation at Gap Inc to increase retail sales and maximize ROI.

eBay Inc. San Jose, CA Feb 2008 – June 2008

Data Analyst- Loyalty Analytics

Developed a Statistical Model to Retain Top Buyers and Sellers

Capital One, Richmond, VA Feb 2006 – Feb 2007

Campaign Developer- Marketing

Developed a Marketing system of record, a central repository in Teradata Warehouse that enables use, re-use, and tracking of campaign building blocks, including audiences, segments, offers, treatments, and exclusion rules.

Automated the Extraction, transformation and loading of Data from source systems.

TECHNICAL SKILLS

Microsoft Tools: MS Excel, MS Access and MS Powerpoint, VBA

Statistical Programming Tools: SAS, Matlab, Minitab

Languages: MDX,T-SQL, PL/SQL, VBA

Databases: Teradata, Oracle, MS SQL Server, Netezza

S&OP tools: SAP S&OP/ IBP on HANA, Steelwedge S&OP,

ETL Tools: SAP Hana Cloud Integration ( HCI) Tool, Abinitio

Modelling Tools: MS Visio, Navicat Data Modeller

Project Management Tools: MS Project, ScrumDo

ERP tools: SAP R/3

APS tools: SAP APO, i2 Demand Planning, ICON SCM

EDUCATION

Masters in Computer Engineering

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