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Delivering Change in the Digital Economy: The Value of Supply Chain Collaboration in SA FMCG CGCSA Summit - September 2015 Paul Dickson.

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Presentation on theme: "Delivering Change in the Digital Economy: The Value of Supply Chain Collaboration in SA FMCG CGCSA Summit - September 2015 Paul Dickson."— Presentation transcript:

1 Delivering Change in the Digital Economy: The Value of Supply Chain Collaboration in SA FMCG CGCSA Summit - September 2015 Paul Dickson

2 Agenda 1.Introduction and Objectives 2.Supply Chain Collaboration: Definitions 3.What supply chain problem are we trying to solve? 4.Collaboration and Integrated Demand Planning: “As-Is” versus “Best-in-Class” 5.So where should local FMCG players start?

3 Agenda 1.Introduction and Objectives 2.Supply Chain Collaboration: Definitions 3.What supply chain problem are we trying to solve? 4.Collaboration and Integrated Demand Planning: “As-Is” versus “Best-in-Class” 5.So where should local FMCG players start?

4 Introduction & Objectives Questions we would like to address in this session What is supply chain collaboration? What value is targeted through better supply chain collaboration and integrated planning? What do we commonly see when FMCG partners are not effectively collaborating? How can technology enable better collaboration between trade partners?

5 1.Introduction and Objectives 2.Supply Chain Collaboration: Definitions 3.What supply chain problem are we trying to solve? 4.Collaboration and Integrated Demand Planning: “As-Is” versus “Best-in-Class” 5.So where should local FMCG players start? Agenda

6 How can we define supply chain collaboration? What is “Supply Chain Collaboration”, and what does it really mean? “Collaboration is ….. a recursive process where two or more people or organizations work together to realize shared goals” - (Wikipedia.org) “Supply Chain Collaboration is the process of integrating supply chain planning and execution activities across multiple trade partners, with the objective of creating optimal and cost-effective logistics and inventory operations across all parties.” - Resolve “Collaborative Planning, Forecasting and Replenishment (CPFR) is a business model that takes a holistic approach to supply chain management and combines the intelligence of multiple trading partners in planning and fulfilling customer demand… CFPR links sales and marketing best practices – category management, supply chain planning and execution processes to increase availability while reducing inventory, merchandizing, transportation and logistics costs.” - Voluntary Inter-industry Commerce Standards) (VICS) Association

7 Agenda 1.Introduction and Objectives 2.Supply Chain Collaboration: Definitions 3.What supply chain problem are we trying to solve? 4.Collaboration and Integrated Demand Planning: “As-Is” versus “Best-in-Class” 5.So where should local FMCG players start?

8 What supply chain problem are we trying to solve? A view on market opportunities in FMCG Service levels are still under pressure Inventory levels are not optimal Although retailers and suppliers do collaborative planning, this is not effectively executed Collaborative demand planning in FMCG remains constrained Increased retailer centralisation has created service issues Disconnect between internal parties, such as buying and operations Disconnect between suppliers, retailers and transporters There have been a number of realities in the South African FMCG market, which contribute to supply chain inefficiencies Parties operated in a reactive manner Service levels suffer On-shelf availability suffers Promotions are occasionally ineffective The end result?

9 Agenda 1.Introduction and Objectives 2.Supply Chain Collaboration: Definitions 3.What supply chain problem are we trying to solve? 4.Collaboration and Integrated Demand Planning: “As-Is” versus “Best-in-Class” 5.So where should local FMCG players start?

10 The Supply Chain Collaboration Landscape The different functional areas for collaborative focus Retailer Stores ` ` ` ` ` ` ` ` ` Retailer Warehouse Supplier Warehouse Supplier Factory Retailer Stores Source (or farm) eCommerce Customers Strategic Tactical Operational New product development Range and store clustering Price and promotion Annual Marketing Strategy Pre- and Mid- promotional planning and execution Marketing & Advertising requirements

11 Current challenges in FMCG demand management An observation on how the various entities plan demand flows & stockholding Sales Replenishment Plan Forecast Replen. Policy Safety Stock Stock on Order Stock on Hand ` Delivery Replenishment Plan Forecast Replen. Policy Safety Stock Stock on Order Stock on Hand Delivery DC Order Retailer Stores Retailer Warehouse Supplier Warehouse Replenishment Plan Forecast Replen. Policy Safety Stock Stock on Order Stock on Hand Let’s investigate the impact of Demand, Supply and Lead-time variability on the ability to optimise stock and service levels through the supply chain DC Order ` Delivery DC Order `

12 Current challenges in FMCG demand management 1. Demand Variability Customer sales are (by their very nature) difficult to predict with 100% certainty, given the trends influenced by weather, seasons, natural, economic and other events. The accuracy of forecasts is questionable, given the above and also being cognisant that a forecast is (traditionally) a static number A typical supply chain has multiple forecasts being used across all the numerous parties. This means that everyone is working off a different plan! Retailer Stores 70 % 60 - 70 % 30 – 40 % Retailer Warehouse Supplier Warehouse

13 Current challenges in FMCG demand management 2. Supply variability Retailer Stores The reality of multiple forecasts impacts the supplier’s ability to fulfil to actual demand. The supplier rarely has the ability to use real consumer demand to create a reliable fulfilment plan. Other operational related errors exist, and hamper the ability to service the retailer: warehouse, transport, system and other influencing events Retailer Warehouse Supplier Warehouse

14 Retailer Stores Retailer Warehouse Supplier Warehouse Current challenges in FMCG demand management 3. Lead-time variability (leading to data latency) Day 0 Day 1 - 6 Day 1 - 13 Day 2 - 14 Day 3 - 14 There are two types of lead-time variables: System related and physical. System lead-time means that the suppler may only get demand signals that are up to two weeks late. This is a significant enabler of the “bull-whip” effect, which introduces cost and other inefficiencies into the supply chain.

15 How could this work differently? A systems-enabled best class view Sales ` Delivery DC Order DC Order Retailer Stores Collaboration Platform Shared Forecast Collaborative Replenishment Planning ` Delivery DC Order Transport Planning ` 1 2 3 Retailer Warehouse Supplier Warehouse

16 Technology-enabled collaboration How should technology make this all happen? Create visibility for all parties (Responsiveness) Real time visibility to the total demand, supply, and capacity picture to be more responsive to changes in demand, available capacity, and supply continuity issues. Promote Process Orchestration (Effectiveness) Provide the ability to manage and automate complex supply chain processes across multiple tiers of partners, driving shared value and common metrics. Reduce Information Latency (Speed) Create the ability to plan, execute, and make decisions from real time information shared across the supply chain. Data Synchronization (Accuracy) All partners working off of the same demand, supply, and capacity information. A single version of the truth. Single Version of the Truth (Transparency) Ability to work together to identify root causes and operational process improvements increasing productivity, efficiency, and perfect order performance.

17 Agenda 1.Introduction and Objectives 2.Supply Chain Collaboration: Definitions 3.What supply chain problem are we trying to solve? 4.Collaboration and Integrated Demand Planning: “As-Is” versus “Best-in-Class” 5.So where should local FMCG players start?

18 Where do local FMCG players start this journey? Supply Chain Digest – Collaboration Maturity Model SupplierCustomer Transaction Data, EDI, Web Phase I: Transaction Automation Invoices, ASNs SupplierCustomer EDI and Web Self-Service Phase II: Shared Operating Data Supplier Better Decision Making Purchase Orders Manufacturing Schedules, On-hand inventory, POS Data SupplierCustomer Joint Planning, Web- Based Data Exchange, Closed Loop Phase III: True Collaboration Plans, Capacities, Constraints Re-engineered Business Processes, Shared Benefits Source: Supply Chain Digest Copyright 2005

19 www.resolvesp.com pdickson@resolvesp.com 47 Landmarks Ave, Samrand 076 573 8096 resolvesp @resolve_sp


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