route-to-market strategy for unilever ecommercein ......e.gindonesia has the largest population,...

1
PROBLEM OVERVIEW PROJECT METHODOLOGY PROJECT IMPLEMENTATION PRODUCT & ACHIEVEMENT Department of Industrial Systems Engineering and Management Route-To-Market Strategy for Unilever eCommerce in Southeast Asia IE3100R Systems Design Project Team Members: Christian Hadi Wijaya | Fu Xin | Li Shuyuan |Pan Yiwei | Wu Jingwei Supervising Professors: Asst Prof TAN Chin Hon | Asst Prof YE Zhi Sheng Unilever Supervisor: Mr. Karan Bhadwaj Course Co-ordinator: Dr. Bok Shung Hwee PROBLEM DESCRIPTION ECOMMERCE SUPPLY CHAIN STAKEHOLDERS OBJECTIVES STEP 1: MARKET EVALUATION (COUNTRY) 02 Market Evaluation 03 Cost Model Development 01 Stakeholder Engagement PROBLEM DESCRIPTION STEP 2: MARKET EVALUATION (MARKETPLACE) Decision Making Framework Cost Decision Programming Language (DPL) Tornado Diagram Benefit Analytic Hierarchy Process (AHP) An integrated decision-making platform Efficient Frontier 05 Integrated Analysis 06 Data Visualisation 04 Vendor Selection Dynamic Assumption AHP Result Final Decision DPL Result DPL Data Entry AHP Data Entry COUNTRY 5C ANALYSIS CONTEXT COMPETITOR CUSTOMER COLLABO- RATOR * Data presented on this poster are fabricated for demonstration purpose only. STEP 3-5: TECHNICAL ANALYSIS STEP 6: DATA VISUALISATION Rainbow Diagram Influence Diagram Decision Tree 01 02 03 04 Business Planning Determine the optimal product mix by analysing the impact of changing the input variables on the values of important output variables Input Variables 1. Basket Size: average sales value per order 2. Revenue/Kg 3. Items/Order Output Variables 1. Absolute Supply Chain Cost 2. Supply Chain Cost as % of Sales Value 3. Gross Margin Criteria Description Remark Practicality Dashboard is regarded practical by the company, as it is easy to learn and fast in obtaining the required data Workability Dashboard display the results in a user-friendly way such that information is both easy to acquire and analyse Flexibility Dashboard can be further developed to include additional features like Tornado Diagram to show sensitive factors. It can also include the result from Analytic Hierarchy Process Availability of required data Dashboard requires less time and cost to gain access to desired data as it could be linked to Unilever’s eCommerce system Dynamic Decision Making Tool VALIDATION OF PROPOSED APPROACH Detailed eCommerce Market Analysis Comprehensive Decision Making Framework With increased retail demand for fast-moving consumer goods online, Unilever is considering venturing into eCommerce market as a new breakthrough to target end consumers. BRICK & MORTAR STORE ONLINE MARKETPLACES This project aims to develop a Route To Market (RTM) strategy for key eCommerce channels in various Southeast Asian markets. Support & Internal Alignment Owner of data Manage site merchandi sing Customer service Purchase inventory from Unilever Manage inventory Manage warehouse Last mile delivery Pick, pack & sort items 1 Design an integrated framework to facilitate the eCommerce supply chain decision- making for Unilever stakeholders in Southeast Asia. Decisions to be made are: 2 Improve the user experience of the decision-making tool by taking into account Unilever’s priorities Supply chain operating model Supplier & local partnership eCommerce product portfolio Partner marketplaces Pioneer country to enter Establishing End-to-end (E2E) eCommerce strategy is a complex procedure especially in Southeast Asia where the market is fragmented. Entire has been broken down into components and approached from quantitative and qualitative perspectives. Identify key countries and marketplace platforms with detailed research Conduct extensive stakeholder engagement to collect data across the company Propose Route To Market (RTM) channels to the firm and establish cost model Develope succinct dashboard with aggregated statistics and tableau for deeper analysis Utilize AHP to generate effective rating matrix for vendor selection process Integrate quantitative model and AHP matrix for cost-benefit analysis. Provide insights for further development § Identify which country is ready to access the eCommerce market. § E.g Indonesia has the largest population, internet users and digital consumers in SEA. Benchmark the country with other countries in SEA regarding eCommerce potential E.g Indonesia is an economically powerful country and has the second largest proportion of young netizens. Analyse other FMCG’s market portfolio and product portfolio in SEA. E.g Unilever has a strong market position across FMCG products in SEA, and has the strongest market portfolios in Indonesia. Analyse target consumer segment and understand customer behaviour in the country. E.g Indonesia has 70% mobile devices access and 93% of mobile Facebook users. Determine the distributors or partners that Unilever can collaborate with in the country E.g agencies such as aCommerce or Fulfillment By Lazarda. Based on 5C framework, Indonesia has been identified as pilot market for Unilever to enter in Southeast Asia. The same framework can be applied to analyse other countries in the future. Business Model Daily Unique Visitors Product Variety Market Share In Indonesia, eCommerce marketplaces are fragmented with multiple players sharing the market. Quantitative & qualitative evaluations are used to select the suitable marketplaces for Unilever’s products. Key evaluating criteria is: Determine the most sensitive variable Determine the decision reversal point when vary the values of uncertain variables Map out relationships between decisions, certain and uncertain variables Outline all possible outcomes of uncertain variables and their resulting costs Ratings Approach: Set up rating system using Saaty’s 9-point scale Stakeholders can set up scale according to their own preference Develop deep understanding of Unilever product, priorities, eCommerce capabilities; establish customised framework to address the concerns Divide the framework into two major components: cost and benefit; use professional analytics tools DPL and AHP for comprehensive evaluation Generate specific and relevant diagrams and indicators to facilitate the decision making process Achieve final decision recommendation by integrating the costs and benefits to determine which alternatives should and not be considered. DECISION MAKING PROCESS: Decision Tool User Interface Determine Optimal Variable Mix PROJECT DELIVERABLES

Upload: others

Post on 02-Feb-2021

22 views

Category:

Documents


0 download

TRANSCRIPT

  • PROBLEMOVERVIEW

    PROJECTMETHODOLOGY

    PROJECTIMPLEMENTATION

    PRODUCT&ACHIEVEMENT

    DepartmentofIndustrialSystemsEngineeringandManagement

    Route-To-Market Strategy for Unilever eCommerce in Southeast Asia

    IE3100RSystems DesignProjectTeamMembers:ChristianHadi Wijaya |FuXin|LiShuyuan |PanYiwei |WuJingwei

    SupervisingProfessors:Asst ProfTANChinHon|Asst ProfYEZhi ShengUnileverSupervisor:Mr.KaranBhadwajCourseCo-ordinator:Dr.BokShung Hwee

    PROBLEMDESCRIPTION ECOMMERCESUPPLYCHAINSTAKEHOLDERS OBJECTIVES

    STEP1:MARKETEVALUATION(COUNTRY)

    02 Market Evaluation

    03 Cost Model Development

    01 Stakeholder Engagement

    PROBLEMDESCRIPTION

    STEP2:MARKETEVALUATION(MARKETPLACE)

    Decision Making Framework

    Cost

    Decision Programming Language (DPL)

    Tornado Diagram

    Benefit

    Analytic Hierarchy Process (AHP)

    An integrated decision-making platformEfficient Frontier

    05 Integrated Analysis

    06 Data Visualisation

    04 Vendor Selection

    DynamicAssumption

    AHPResult

    FinalDecision

    DPLResult

    DPL Data Entry AHP DataEntry

    COUNTRY

    5C ANALYSIS

    CONTEXT

    COMPETITORCUSTOMER

    COLLABO-RATOR

    * Data presented on this poster are fabricated for demonstration purpose only.

    STEP3-5:TECHNICALANALYSIS

    STEP6:DATAVISUALISATION

    Rainbow Diagram Influence Diagram Decision Tree

    01

    02

    03

    04

    Business PlanningDetermine the optimal product mix by analysing the impact of changing the input variables on the values of important output variables

    Input Variables1. Basket Size: average sales value

    per order2. Revenue/Kg3. Items/OrderOutput Variables1. Absolute Supply Chain Cost2. Supply Chain Cost as % of Sales

    Value3. Gross Margin

    Criteria Description Remark

    PracticalityDashboard is regarded practical by the company, as it is easy to learn and fast in obtaining the required data ✓

    WorkabilityDashboard display the results in a user-friendly way such that information is both easy to acquire and analyse ✓

    FlexibilityDashboard can be further developed to include additional features like Tornado Diagram to show sensitive factors. It can also include the result from Analytic Hierarchy Process

    Availability of required data

    Dashboard requires less time and cost to gain access to desired data as it could be linked to Unilever’s eCommerce system ✓ Dynamic Decision Making Tool

    VALIDATIONOFPROPOSEDAPPROACH

    Detailed eCommerce Market Analysis Comprehensive Decision Making Framework

    With increased retail demand for fast-moving consumer goods online, Unilever is considering venturing into eCommerce market as a new breakthrough to target end consumers.

    BRICK & MORTAR STORE ONLINE MARKETPLACES

    This project aims to develop a Route To Market (RTM) strategy for key eCommerce channels in various Southeast Asian markets.

    • Support & Internal Alignment

    • Owner of data

    • Manage site merchandising

    • Customer service

    • Purchase inventory from Unilever

    • Manage inventory

    • Manage warehouse

    • Last mile delivery

    • Pick, pack & sort items

    1 Design an integrated framework to facilitate the eCommerce supply chain decision-making for Unilever stakeholders in Southeast Asia. Decisions to be made are:

    2 Improve the user experience of the decision-making tool by taking into account Unilever’s priorities

    Supply chain operating model

    Supplier & local partnership

    eCommerce product portfolio

    Partner marketplaces

    Pioneer country to enter

    Establishing End-to-end (E2E) eCommerce strategy is a complex procedure especially in Southeast Asia where the market is fragmented.

    Entire has been broken down into components and approached from quantitative and qualitative perspectives.

    Identify key countries and marketplace platforms with detailed research

    Conduct extensive stakeholder engagement to collect data across the company

    Propose Route To Market (RTM) channels to the firm and establish cost model

    Develope succinct dashboard with aggregated statistics and tableau for deeper analysis

    Utilize AHP to generate effective rating matrix for vendor selection process

    Integrate quantitative model and AHP matrix for cost-benefit analysis. Provide insights for further development

    § Identify which country is ready to access the eCommerce market.

    § E.g Indonesia has the largest population, internet users and digital consumers in SEA.

    • Benchmark the country withother countries in SEA regarding eCommercepotential

    • E.g Indonesia is an economically powerful country and has the second largest proportion of young netizens.

    • Analyse other FMCG’s market portfolio and product portfolio in SEA.

    • E.g Unilever has a strong market position across FMCG products in SEA, and has the strongest market portfolios in Indonesia.

    • Analyse target consumersegment and understandcustomer behaviour in thecountry.

    • E.g Indonesia has 70% mobile devices access and 93% of mobile Facebook users.

    • Determine the distributors or partners that Unilever can collaborate with in the country

    • E.g agencies such as aCommerce or Fulfillment By Lazarda.

    Based on 5C framework, Indonesia has been identified as pilot market for Unilever to enter in Southeast Asia. The same framework can be applied to analyse other countries in the future.

    Business Model Daily Unique Visitors

    Product Variety Market Share

    In Indonesia, eCommerce marketplaces are fragmentedwith multiple players sharing the market.Quantitative & qualitative evaluations are used to selectthe suitable marketplaces for Unilever’s products. Keyevaluating criteria is:

    Determine the most sensitive variable

    Determine the decision reversal point when vary the values of uncertain variables

    Map out relationships between decisions, certain and uncertain variables

    Outline all possible outcomes of uncertain variables and their resulting costs

    Ratings Approach: Set up rating system using Saaty’s 9-point scale

    Stakeholders can set up scale according to their own preference

    Develop deep understanding of Unilever product, priorities, eCommerce capabilities; establish customisedframework to address the concerns

    Divide the framework into two major components: cost and benefit; use professional analytics tools DPL and AHP for comprehensive evaluation

    Generate specific and relevant diagrams and indicators to facilitate the decision making process

    Achieve final decision recommendation by integrating the costs and benefits to determine which alternatives should and not be considered.

    DECISIONMAKINGPROCESS:

    Decision Tool User Interface Determine Optimal Variable Mix

    PROJECTDELIVERABLES