As supply chain managers work to digitize their operations and seamlessly integrate their supply chain ecosystems, a supply chain control tower offers analytics, integrated visibility and process orchestration based on relevant KPIs that enable them to enhance business performance.
Supply Chain Control Tower - Design & Deployment ConceptShaik Abdul Khadar
Supply chain control tower is the key enabler for managing supply chain effectively and efficiently. Supply chain managers need to have the visibility, collaboration, simulation, and predictive analytics capabilities on the go. Supply chain control tower do this all.
This document shows contains the key components of control tower design, approach for implementation, and key challenges in implementation and maintenance.
The document discusses supply chain control towers, which provide transparency and real-time exception management across the value chain through a holistic view of the end-to-end supply chain. A control tower brings together functionality from across the enterprise to provide the right information to the right people at the right time. It acts as a single point of contact and integrator of information between multi-location, multi-party systems. Benefits include reduced costs, accurate demand planning, increased visibility and on-time deliveries, and improved decision-making through monitoring of key performance indicators. The control tower fits within existing systems and processes to identify gaps and opportunities for improvement.
This document discusses supply chain control towers and answers 5 common questions about them. It summarizes that control towers provide end-to-end supply chain visibility and enable collaborative problem solving across partners. A control tower requires integrating people, processes, and technologies to provide real-time data and resolve issues. Building an effective control tower is complex and requires cross-functional collaboration, integrated business processes, and change management.
The Outcome-oriented High Tech Supply Chain Control Toweraccenture
The document discusses the supply chain control tower, which acts as a centralized hub that compiles information from a company's existing systems. It integrates processes and tools across the entire supply chain. When implemented effectively, the control tower enables cross-functional collaboration for improved decision-making based on real-time insights. It can help shift a supply chain from order fulfillment to sensing and shaping demand while reducing costs and driving revenue.
This document discusses digital transformation in logistics. Technologies like big data, analytics, AI, IoT, and robotics promise to transform business operations by raising quality, increasing flexibility, and boosting productivity. However, digital transformation is challenging for large, established companies not born in the digital age. The document proposes using design thinking to understand problems and leverage team capabilities to become more consumer-driven, digital, and willing to break from the status quo. It also recommends a simple framework for digital transformation in logistics focusing on foundations, integration, and collaboration. Finally, it discusses deploying global analytics for logistics by starting with pilot markets and key metrics before global rollout.
Digital Supply Chain: the start of a new eraBluecrux
95% of Supply Chain leaders struggle with how to drive improvement in their Supply Chain and only 5% are making progress.
In this presentation, you'll get a market overview of emerging technologies and approaches you can apply to drive value. Are you ready to become part of that 5%?
Presented by Lora Cecere, Founder Supply Chain Insights on Supply Chain 4.0 : ready to operate in the digital era? (29 Nov, 2018)
5 Ways AI will Revolutionize Supply ChainsMoataz Rashad
This talk covers 5 use-cases in supply chain optimization where AI can have a revolutionary effect on maximizing margins. These include optimizing pricing, production efficiency, demand forecasting, and risk mitigation decisioning.
Supply Chain Control Tower - Design & Deployment ConceptShaik Abdul Khadar
Supply chain control tower is the key enabler for managing supply chain effectively and efficiently. Supply chain managers need to have the visibility, collaboration, simulation, and predictive analytics capabilities on the go. Supply chain control tower do this all.
This document shows contains the key components of control tower design, approach for implementation, and key challenges in implementation and maintenance.
The document discusses supply chain control towers, which provide transparency and real-time exception management across the value chain through a holistic view of the end-to-end supply chain. A control tower brings together functionality from across the enterprise to provide the right information to the right people at the right time. It acts as a single point of contact and integrator of information between multi-location, multi-party systems. Benefits include reduced costs, accurate demand planning, increased visibility and on-time deliveries, and improved decision-making through monitoring of key performance indicators. The control tower fits within existing systems and processes to identify gaps and opportunities for improvement.
This document discusses supply chain control towers and answers 5 common questions about them. It summarizes that control towers provide end-to-end supply chain visibility and enable collaborative problem solving across partners. A control tower requires integrating people, processes, and technologies to provide real-time data and resolve issues. Building an effective control tower is complex and requires cross-functional collaboration, integrated business processes, and change management.
The Outcome-oriented High Tech Supply Chain Control Toweraccenture
The document discusses the supply chain control tower, which acts as a centralized hub that compiles information from a company's existing systems. It integrates processes and tools across the entire supply chain. When implemented effectively, the control tower enables cross-functional collaboration for improved decision-making based on real-time insights. It can help shift a supply chain from order fulfillment to sensing and shaping demand while reducing costs and driving revenue.
This document discusses digital transformation in logistics. Technologies like big data, analytics, AI, IoT, and robotics promise to transform business operations by raising quality, increasing flexibility, and boosting productivity. However, digital transformation is challenging for large, established companies not born in the digital age. The document proposes using design thinking to understand problems and leverage team capabilities to become more consumer-driven, digital, and willing to break from the status quo. It also recommends a simple framework for digital transformation in logistics focusing on foundations, integration, and collaboration. Finally, it discusses deploying global analytics for logistics by starting with pilot markets and key metrics before global rollout.
Digital Supply Chain: the start of a new eraBluecrux
95% of Supply Chain leaders struggle with how to drive improvement in their Supply Chain and only 5% are making progress.
In this presentation, you'll get a market overview of emerging technologies and approaches you can apply to drive value. Are you ready to become part of that 5%?
Presented by Lora Cecere, Founder Supply Chain Insights on Supply Chain 4.0 : ready to operate in the digital era? (29 Nov, 2018)
5 Ways AI will Revolutionize Supply ChainsMoataz Rashad
This talk covers 5 use-cases in supply chain optimization where AI can have a revolutionary effect on maximizing margins. These include optimizing pricing, production efficiency, demand forecasting, and risk mitigation decisioning.
The document discusses the major impact of digital technologies on supply chain management. It notes that industries now deal with real-time data exchange and storage, and rapidly changing customer behavior due to information availability. This has shifted companies from "doing digital" to "being digital" as a top priority. The advent of technologies like the Internet of Things, artificial intelligence, 3D printing and others are disrupting traditional supply chain models. The document introduces the concept of a digital supply chain that uses these technologies to improve business processes and provide value to all stakeholders. It outlines some of the key benefits of digital supply chains, as well as potential disruptions across different supply chain activities from sourcing to delivery. Finally, it maps the landscape and
IoT is enabling smart warehouses through the use of sensors, internet connectivity, and embedded processors. This allows physical devices like inventory and equipment to be monitored and controlled remotely. Some key IoT applications in warehouses include smart glasses to provide hands-free order picking instructions, autonomous mobile robots to transport inventory and reduce worker travel, and sensors to provide real-time inventory visibility and analytics. The use of IoT is helping to streamline warehouse operations, reduce costs, improve efficiency, and meet rising consumer expectations for fast delivery.
This document discusses optimization opportunities across the supply chain, including demand forecasting, location planning, capacity planning, vendor selection, transportation optimization, warehouse utilization, inventory optimization, production planning, and waste reduction. The key areas of focus are network design and optimization, production planning, and revenue optimization throughout the supply chain from inbound logistics to outbound logistics. Optimization aims to minimize costs while meeting customer requirements and maintaining quality and service levels.
Digital transformation in transport and logisticsPostNL België
This document discusses digital transformation in transport and logistics through the use of big data. It first provides an introduction and background about the speaker. It then discusses using improved inventory control and forecasting of promotions in retail settings. Specifically, it examines using a management coefficients model to better balance workloads and reduce excess inventory. It also evaluates various machine learning techniques for more accurately forecasting demand during promotion periods versus non-promotion periods. Finally, it outlines opportunities for applying big data methodologies like predictive analytics and prescriptive analytics to challenges in logistics planning and connecting data to optimization of operations.
This document discusses supply chain management (SCM) best practices. It provides an overview of SCM, including key objectives and challenges. SCM integration can provide benefits like increased visibility, cost reductions, and improved service levels. The document also outlines next generation SCM solutions, how to measure SCM success, and how small and medium enterprises can adopt SCM practices. It concludes with an explanation of the Supply Chain Operations Reference model (SCOR) framework.
Supply Chain Management Training in Powerpoint | By ex-McKinsey ConsultantsAurelien Domont, MBA
Supply Chain Management Training created in Powerpoint by ex-McKinsey Consultants.
Training including the 5 phases of Supply Chain Management: 1.Supply Chain Strategy, 2.Demand & Supply Chain Planning, 3.Sourcing & Procurement, 4.Manufacturing, 5.Logistics & Distribution.
Save hundreds of hours of work by downloading the full Powerpoint presentation available on this link: https://www.slidebooks.com/products/supply-chain-management-toolkit
Go to www.slidebooks.com to access the World's Best Business & Consulting Toolkits.
Join today the 100,000+ CEOs, Executives & Consultants using our Business & Consulting Toolkits to improve the revenue & efficiency of their Organization.
The Toolkits include Business Frameworks, Analysis Tools & Document Templates in Powerpoint & Excel created by Ex-McKinsey & Deloitte Management Consultants.
The Toolkits cover many Business areas such as: Strategy, Finance, Operations, Change Management, Project Management & Leadership.
When you look at traditional ERP or management systems, they are usually used to manage the supply chain originating from either the point of Origin or point of destination which all our primarily physical locations. And for these, you have several processes like order to cash, source to pay, physical distribution, production etc.
The document discusses third party logistics (3PL) providers. It begins by defining 1PL, 2PL, 3PL and 4PL providers and their roles in the supply chain. It then covers the evolution of 3PL, services provided, benefits of using 3PL, types of 3PL providers including transportation-based, warehouse/distribution-based and more. New technologies in 3PL and relationship management are also discussed. The document concludes with a case study on selecting a 3PL using multi-criteria decision making.
Artificial intelligence transforming the phase of supply chain managementRahul R
Artificial intelligence is transforming supply chain management by optimizing business processes and establishing agile supply chains. AI can help with inventory control and planning by accessing real-time information on customer demands and inventory levels. It can also help with transportation network design challenges like routing and scheduling through techniques like genetic algorithms and ant colony optimization. Expert systems allow purchasing managers to evaluate suppliers and make more informed make-or-buy decisions. Overall, integrating AI offers competitive advantages through predictive analytics and more efficient supply chain management.
This document discusses networking and warehousing concepts for a course. It provides an overview of topics to be covered, including basic network concepts, supporting warehousing methods, order profiles, layouts, and case studies. Specific retailers like Sainsbury's and Tesco will be examined through case studies. Key issues in network planning and different network structures for grocery retailers are also summarized.
The document discusses DSV's logistics control tower model and framework. It provides an overview of DSV's transportation service portfolio and control tower capabilities. The control tower aims to orchestrate customers' global supply chains and logistics operations through end-to-end visibility, real-time intervention, and experienced professionals. It also discusses control tower structures, levels of outsourcing, and how the model provides a streamlined approach to freight management.
The document discusses logistics control towers, which provide holistic visibility of warehouse and transport functions in real time to enable near-real time decision making across the supply chain. Control towers are intended to highlight events that impact the supply chain and their resolution. However, control towers often fail due to limited integration and visibility, being dominated by planning rather than operational response, and lacking the authority to drive change. The document argues control towers should start with advanced visibility and focus on event generation and response to be effective.
1) AI and automation technologies like RPA, machine learning, and computer vision can address uncertainties and inefficiencies in supply chains by optimizing tasks like demand forecasting, procurement, inventory management, and predictive maintenance.
2) Increased transparency through real-time tracking and monitoring enabled by technologies improves visibility across supply chains and drives efficiency.
3) Machine learning and behavioral analytics can make logistics operations safer by monitoring driver behavior and predicting accidents through advanced driver assistance systems.
This document outlines an integrated business planning process presented by Charles P. Sitkin. It discusses the evolution of management concerns and strategic planning. The key components of the planning process include developing a mission statement, strategic excellence positions, goals, objectives, action plans, operational plans, budgets, and results management. The process aims to integrate strategic planning with operational planning and performance management to ensure the organization achieves its strategic goals.
Top technology trends in supply chain & logistics industryArindam Bakshi
Technology plays a very important part in determining the success of a supply chain. This e-book is primarily meant to inform you about the present day technologies that are heavily involved in determining the efficiency and productivity of the logistics and supply chain industry.
Bigdata analysis in supply chain managmentKushal Shah
big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
supply chain industry need this type of data to survive in every situations.
The presentation has covered the some of the important topics of the 'Logistics in manufacturing system' such as
1.0 History of logistics, 2.0 Logistics and value relationship, 3.0 Objectives of logistics system, 4.0 Warehouse function, types and objectives, 5.0 Logistics network planning, 6.0 In-house, third party and TMS (Transportation Management System) logistics services, 7.0 Green Logistics 8.0 Challenges of logistics system
The document provides an integration framework for post-acquisition integration. It outlines key guiding principles such as getting the integration strategy right and designing the integration program around benefit realization. It describes an implementation structure with focus on the first 100 days to realize quick wins. The framework also details setting up an integration structure with a steering group, manager, and cross-functional teams to integrate corporate functions such as finance, HR, IT, and legal.
Scor Model Convergence With Lean & Six SigmaOssama Ismail
The document discusses convergence of SCOR (Supply Chain Operations Reference model), Lean, and Six Sigma approaches to continuous improvement. It argues that convergence provides a standardized framework, identifies opportunities at a systems level, provides system visibility, and synergizes the methodologies. Benefits include a common process framework, prioritizing improvements, linking strategy to projects, avoiding sub-optimization, and collaborating across organizations. Convergence is proposed as a structured way to manage enterprise-wide transformation.
Business Intelligence in Upstream-DownstreamNirav Modh
People working in the oil and gas industry focus on collecting, storing, analyzing, and interpreting large amounts of data to gain operational efficiencies and extract more value from core assets. A recent study suggests oil companies have opportunities to significantly increase value by carefully reviewing their current data management practices. Implementing business intelligence and analytics solutions across the downstream value chain can help companies improve cost control, drive efficiencies, and increase profitability through better management and analysis of operational data in real time.
The document discusses the importance of aligning business processes and information technology (IT) in supply chain management. It explains that investing in both business processes and IT leads to better supply chain performance than investing in only one. The goals of supply chain IT are described as providing visibility of supply chain data, enabling analysis of that data, and facilitating collaboration with partners. Different components of supply chain management systems are outlined, including decision support systems, enterprise resource planning software, and the use of analytics and artificial intelligence.
The document discusses the major impact of digital technologies on supply chain management. It notes that industries now deal with real-time data exchange and storage, and rapidly changing customer behavior due to information availability. This has shifted companies from "doing digital" to "being digital" as a top priority. The advent of technologies like the Internet of Things, artificial intelligence, 3D printing and others are disrupting traditional supply chain models. The document introduces the concept of a digital supply chain that uses these technologies to improve business processes and provide value to all stakeholders. It outlines some of the key benefits of digital supply chains, as well as potential disruptions across different supply chain activities from sourcing to delivery. Finally, it maps the landscape and
IoT is enabling smart warehouses through the use of sensors, internet connectivity, and embedded processors. This allows physical devices like inventory and equipment to be monitored and controlled remotely. Some key IoT applications in warehouses include smart glasses to provide hands-free order picking instructions, autonomous mobile robots to transport inventory and reduce worker travel, and sensors to provide real-time inventory visibility and analytics. The use of IoT is helping to streamline warehouse operations, reduce costs, improve efficiency, and meet rising consumer expectations for fast delivery.
This document discusses optimization opportunities across the supply chain, including demand forecasting, location planning, capacity planning, vendor selection, transportation optimization, warehouse utilization, inventory optimization, production planning, and waste reduction. The key areas of focus are network design and optimization, production planning, and revenue optimization throughout the supply chain from inbound logistics to outbound logistics. Optimization aims to minimize costs while meeting customer requirements and maintaining quality and service levels.
Digital transformation in transport and logisticsPostNL België
This document discusses digital transformation in transport and logistics through the use of big data. It first provides an introduction and background about the speaker. It then discusses using improved inventory control and forecasting of promotions in retail settings. Specifically, it examines using a management coefficients model to better balance workloads and reduce excess inventory. It also evaluates various machine learning techniques for more accurately forecasting demand during promotion periods versus non-promotion periods. Finally, it outlines opportunities for applying big data methodologies like predictive analytics and prescriptive analytics to challenges in logistics planning and connecting data to optimization of operations.
This document discusses supply chain management (SCM) best practices. It provides an overview of SCM, including key objectives and challenges. SCM integration can provide benefits like increased visibility, cost reductions, and improved service levels. The document also outlines next generation SCM solutions, how to measure SCM success, and how small and medium enterprises can adopt SCM practices. It concludes with an explanation of the Supply Chain Operations Reference model (SCOR) framework.
Supply Chain Management Training in Powerpoint | By ex-McKinsey ConsultantsAurelien Domont, MBA
Supply Chain Management Training created in Powerpoint by ex-McKinsey Consultants.
Training including the 5 phases of Supply Chain Management: 1.Supply Chain Strategy, 2.Demand & Supply Chain Planning, 3.Sourcing & Procurement, 4.Manufacturing, 5.Logistics & Distribution.
Save hundreds of hours of work by downloading the full Powerpoint presentation available on this link: https://www.slidebooks.com/products/supply-chain-management-toolkit
Go to www.slidebooks.com to access the World's Best Business & Consulting Toolkits.
Join today the 100,000+ CEOs, Executives & Consultants using our Business & Consulting Toolkits to improve the revenue & efficiency of their Organization.
The Toolkits include Business Frameworks, Analysis Tools & Document Templates in Powerpoint & Excel created by Ex-McKinsey & Deloitte Management Consultants.
The Toolkits cover many Business areas such as: Strategy, Finance, Operations, Change Management, Project Management & Leadership.
When you look at traditional ERP or management systems, they are usually used to manage the supply chain originating from either the point of Origin or point of destination which all our primarily physical locations. And for these, you have several processes like order to cash, source to pay, physical distribution, production etc.
The document discusses third party logistics (3PL) providers. It begins by defining 1PL, 2PL, 3PL and 4PL providers and their roles in the supply chain. It then covers the evolution of 3PL, services provided, benefits of using 3PL, types of 3PL providers including transportation-based, warehouse/distribution-based and more. New technologies in 3PL and relationship management are also discussed. The document concludes with a case study on selecting a 3PL using multi-criteria decision making.
Artificial intelligence transforming the phase of supply chain managementRahul R
Artificial intelligence is transforming supply chain management by optimizing business processes and establishing agile supply chains. AI can help with inventory control and planning by accessing real-time information on customer demands and inventory levels. It can also help with transportation network design challenges like routing and scheduling through techniques like genetic algorithms and ant colony optimization. Expert systems allow purchasing managers to evaluate suppliers and make more informed make-or-buy decisions. Overall, integrating AI offers competitive advantages through predictive analytics and more efficient supply chain management.
This document discusses networking and warehousing concepts for a course. It provides an overview of topics to be covered, including basic network concepts, supporting warehousing methods, order profiles, layouts, and case studies. Specific retailers like Sainsbury's and Tesco will be examined through case studies. Key issues in network planning and different network structures for grocery retailers are also summarized.
The document discusses DSV's logistics control tower model and framework. It provides an overview of DSV's transportation service portfolio and control tower capabilities. The control tower aims to orchestrate customers' global supply chains and logistics operations through end-to-end visibility, real-time intervention, and experienced professionals. It also discusses control tower structures, levels of outsourcing, and how the model provides a streamlined approach to freight management.
The document discusses logistics control towers, which provide holistic visibility of warehouse and transport functions in real time to enable near-real time decision making across the supply chain. Control towers are intended to highlight events that impact the supply chain and their resolution. However, control towers often fail due to limited integration and visibility, being dominated by planning rather than operational response, and lacking the authority to drive change. The document argues control towers should start with advanced visibility and focus on event generation and response to be effective.
1) AI and automation technologies like RPA, machine learning, and computer vision can address uncertainties and inefficiencies in supply chains by optimizing tasks like demand forecasting, procurement, inventory management, and predictive maintenance.
2) Increased transparency through real-time tracking and monitoring enabled by technologies improves visibility across supply chains and drives efficiency.
3) Machine learning and behavioral analytics can make logistics operations safer by monitoring driver behavior and predicting accidents through advanced driver assistance systems.
This document outlines an integrated business planning process presented by Charles P. Sitkin. It discusses the evolution of management concerns and strategic planning. The key components of the planning process include developing a mission statement, strategic excellence positions, goals, objectives, action plans, operational plans, budgets, and results management. The process aims to integrate strategic planning with operational planning and performance management to ensure the organization achieves its strategic goals.
Top technology trends in supply chain & logistics industryArindam Bakshi
Technology plays a very important part in determining the success of a supply chain. This e-book is primarily meant to inform you about the present day technologies that are heavily involved in determining the efficiency and productivity of the logistics and supply chain industry.
Bigdata analysis in supply chain managmentKushal Shah
big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
supply chain industry need this type of data to survive in every situations.
The presentation has covered the some of the important topics of the 'Logistics in manufacturing system' such as
1.0 History of logistics, 2.0 Logistics and value relationship, 3.0 Objectives of logistics system, 4.0 Warehouse function, types and objectives, 5.0 Logistics network planning, 6.0 In-house, third party and TMS (Transportation Management System) logistics services, 7.0 Green Logistics 8.0 Challenges of logistics system
The document provides an integration framework for post-acquisition integration. It outlines key guiding principles such as getting the integration strategy right and designing the integration program around benefit realization. It describes an implementation structure with focus on the first 100 days to realize quick wins. The framework also details setting up an integration structure with a steering group, manager, and cross-functional teams to integrate corporate functions such as finance, HR, IT, and legal.
Scor Model Convergence With Lean & Six SigmaOssama Ismail
The document discusses convergence of SCOR (Supply Chain Operations Reference model), Lean, and Six Sigma approaches to continuous improvement. It argues that convergence provides a standardized framework, identifies opportunities at a systems level, provides system visibility, and synergizes the methodologies. Benefits include a common process framework, prioritizing improvements, linking strategy to projects, avoiding sub-optimization, and collaborating across organizations. Convergence is proposed as a structured way to manage enterprise-wide transformation.
Business Intelligence in Upstream-DownstreamNirav Modh
People working in the oil and gas industry focus on collecting, storing, analyzing, and interpreting large amounts of data to gain operational efficiencies and extract more value from core assets. A recent study suggests oil companies have opportunities to significantly increase value by carefully reviewing their current data management practices. Implementing business intelligence and analytics solutions across the downstream value chain can help companies improve cost control, drive efficiencies, and increase profitability through better management and analysis of operational data in real time.
The document discusses the importance of aligning business processes and information technology (IT) in supply chain management. It explains that investing in both business processes and IT leads to better supply chain performance than investing in only one. The goals of supply chain IT are described as providing visibility of supply chain data, enabling analysis of that data, and facilitating collaboration with partners. Different components of supply chain management systems are outlined, including decision support systems, enterprise resource planning software, and the use of analytics and artificial intelligence.
The following is a PowerPoint I created that includes a "bottom line" sentence for each video in the "Implementing Supply Chain Management" Lynda series.
The document discusses emerging trends in supply chain management, including increased use of artificial intelligence and e-commerce. It outlines how AI can optimize business processes, aid in demand forecasting and inventory planning, and help with transportation network design challenges. The document also notes the rise of e-commerce and its benefits to supply chain management like lower costs and better customer service. Finally, it discusses the increased focus on sustainability in supply chains and some initial steps companies can take to improve sustainability.
Intranets and supply chain management software can help coordinate internal supply chain processes and external partnerships. Supply chain management refers to coordinating the flow of materials and information from suppliers to manufacturers to distributors and finally to customers. Firms use intranets to improve coordination internally and with business partners to optimize planning, sourcing, production, and delivery. Demand management, advanced planning, and finite scheduling software help organizations forecast demand, plan inventory, and schedule production efficiently.
Capitaliser sur la valeur de l’IoT : comment démarrer sa transformation numér...Greg Eva
The document provides an overview of how IoT can be leveraged to drive digital transformation initiatives. It discusses how IoT creates business opportunities such as new revenue streams, product and service differentiation, improved customer experience, and optimized business processes. It then outlines a framework for a successful digital transformation, including knowing the mission, implicating stakeholders, validating use cases, taking a step-by-step approach, and partnering instead of going it alone.
Inside 6 Dimensional Model for Industry 4.0 Smart Factory by WeboniseWebonise Lab
Webonise uses a six dimensional approach to help manufacturing companies on their path to a Smart factory with 4th Industrial Revolution. The deep dive to pure Tech Adoption Strategies + Data Driven Play for Future Factories.
Transforming Business Operations with BlockchainPerficient, Inc.
This document outlines an agenda for a presentation on transforming business operations with blockchain. The agenda includes welcome remarks, an introduction to supply chain and blockchain, use cases, a case study on food safety, and an open discussion. It then provides background on Perficient and their partnership with IBM. The remainder of the document discusses how supply chain has evolved with technology over time. It explains the key aspects of blockchain technology and how it can provide benefits like reducing fraud and improving inventory management when applied to supply chain use cases around product integrity and asset lifecycle tracking.
The Evolution of Digital Control Towers in Supply ChainTredence Inc
Corporations today want to leverage useful applications of the supply chain control tower. Organizations have copious amounts of data across their supply chain and related functions.
Learn more: https://www.tredence.com/solutions/supply-chain-control-tower
This document provides an overview of a research package on big data in the supply chain and logistics industry from eft. It includes:
- Interviews and presentations from industry experts on the biggest opportunities in using big data.
- A survey of over 200 supply chain executives on their use of big data.
- An article on using sensors and the "Internet of Things" to gain insights from real-time supply chain data.
The package explores how companies can leverage big data and analytics to improve visibility, flexibility, optimization, collaboration and control across their supply chains and gain competitive advantages. It highlights specific areas like risk management and predictive analytics that big data is enabling.
With shrinking production cycles, increasing demand for customized products, and a growing skills gap in the workforce, there are many pressures affecting the manufacturing industry. Technology offers many potential solutions, along with its own set of changes and challenges, including data overload.
Advanced analytics solutions can help address these issues. Some enterprises are already reaping the benefits, like automated supply chains and predictive maintenance, but often it’s unclear where to begin.
Learn how manufacturing analytics solutions can improve core production and supply chain operations like quality assurance and inventory optimization. With the right approach and tools, and using your existing technology investments, you can uncover potential insights and solutions in the information you already have.
An SCCT provides more than just visibility - it orchestrates intelligent response and execution throughout the supply chain. GE Appliances implemented a control tower that reduced order backlogs through real-time tracking and machine learning. True SCCTs anticipate market changes, deeply understand customers, and engage them with personalized experiences. They are built on flexible cloud architectures and implement capabilities through a hybrid approach of business use cases over time to generate quick value while strengthening organization-wide capabilities.
The document discusses the need for a new IoT analytics platform to help organizations accelerate time-to-value from IoT projects and enable timely actions. It introduces the VIA IoT Analytics Platform from Vitria, which aims to address this need by providing a unified platform for fast data ingestion, open data lakes, advanced analytics across streaming, historical, predictive and prescriptive models, and tools to enable rapid application development and insights. The platform is designed to empower operations managers to improve processes and business outcomes through smarter, faster analytics and actions using IoT data.
The document discusses e-logistics and supply chain management. It provides an overview of how logistics has evolved with the growth of e-commerce, from the initial online bookstores to the global giant Amazon is today. This evolution required advanced supply chain networks and new trends like using artificial intelligence, blockchain technology, improved GPS, and social media to connect customers. It also highlights how technologies have transformed and digitized supply chain operations. The use of third-party logistics providers is described as an important development that professionalized logistics and provided cost-effective and scalable services.
Elevate with Intelligent Supply Chain | SlideShare | AccentureAccenture Operations
Accenture's presentation shows CSCOs can accelerate their journey to operational maturity as they embrace the future of supply chain operations. Read more
Demystifying Control Towers: What Drives Effectiveness?Aggregage
There are several competing definitions of supply chain Control Towers. Here to demystify their meaning and what it takes to have a successful implementation are Principal Nucleus Research Analyst, Andrew MacMillen in conversation with Alkimius founder & CEO, Mauro Gonzalez.
Almost all companies work with constantly grown SKU’s and raw materials numbers, that leads to working with smaller and smaller batches, shorter and shorter lead times and higher and higher quality standards which brings high complexity in effective production flow management.
To manage and visualize Information Flow became necessary condition for effective production, business management or any kind of improvements – LEAN, TOC, Six Sigma or TLS.
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...Cognizant
Organizations rely on analytics to make intelligent decisions and improve business performance, which sometimes requires reproducing business processes from a legacy application to a digital-native state to reduce the functional, technical and operational debts. Adaptive Scrum can reduce the complexity of the reproduction process iteratively as well as provide transparency in data analytics porojects.
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-makingCognizant
The document discusses how most companies are not fully leveraging artificial intelligence (AI) and data for decision-making. It finds that only 20% of companies are "leaders" in using AI for decisions, while the remaining 80% are stuck in a "vicious cycle" of not understanding AI's potential, having low trust in AI, and limited adoption. Leaders use more sophisticated verification of AI decisions and a wider range of AI technologies beyond chatbots. The document provides recommendations for breaking the vicious cycle, including appointing AI champions, starting with specific high-impact decisions, and institutionalizing continuous learning about AI advances.
It Takes an Ecosystem: How Technology Companies Deliver Exceptional ExperiencesCognizant
Experience is becoming a key strategy for technology companies as they shift to cloud-based subscription models. This requires building an "experience ecosystem" that breaks down silos and involves partners. Building such an ecosystem involves adopting a cross-functional approach to experience, making experience data-driven to generate insights, and creating platforms to enable connected selling between companies and partners.
Intuition is not a mystery but rather a mechanistic process based on accumulated experience. Leading businesses are engineering intuition into their organizations by harnessing machine learning software, massive cloud processing power, huge amounts of data, and design thinking in experiences. This allows them to anticipate and act with speed and insight, improving decision making through data-driven insights and acting as if on intuition.
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...Cognizant
The T&L industry appears poised to accelerate its long-overdue modernization drive, as the pandemic spurs an increased need for agility and resilience, according to our study.
Enhancing Desirability: Five Considerations for Winning Digital InitiativesCognizant
To be a modern digital business in the post-COVID era, organizations must be fanatical about the experiences they deliver to an increasingly savvy and expectant user community. Getting there requires a mastery of human-design thinking, compelling user interface and interaction design, and a focus on functional and nonfunctional capabilities that drive business differentiation and results.
The Work Ahead in Manufacturing: Fulfilling the Agility MandateCognizant
Manufacturers are ahead of other industries in IoT deployments but lag in investments in analytics and AI needed to maximize IoT's benefits. While many have IoT pilots, few have implemented machine learning at scale to analyze sensor data and optimize processes. To fully digitize manufacturing, investments in automation, analytics, and AI must increase from the current 5.5% of revenue to over 11% to integrate IT, OT, and PT across the value chain.
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...Cognizant
Higher-ed institutions expect pandemic-driven disruption to continue, especially as hyperconnectivity, analytics and AI drive personalized education models over the lifetime of the learner, according to our recent research.
Engineering the Next-Gen Digital Claims Organisation for Australian General I...Cognizant
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How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits
1. How a Well-Executed
Supply Chain Control Tower
Can Accelerate Digital’s
Business Benefits
Retailers, manufacturers and consumer goods companies can
overcome failed and fractured supply chain digitization efforts
by focusing on key performance metrics instrumented through
proper predictive analytics and effective use of data shared
across functional areas inside and outside the organization.
January 2018
DIGITAL BUSINESS
2. 2
EXECUTIVE SUMMARY
As supply chains across industries grow in complexity and become more unpredictable,
volatile and unstable, supply chain managers across the retail, manufacturing and
consumer goods industries face unprecedented challenges. To thrive in this brave new
world, companies need an agile digital supply chain1
to more efficiently address customer
needs in today’s always-on world. This supply chain embodies four qualities simultaneously:
• Connected: Enables communications among interconnected devices, systems
and processes.
• Informed: Leverages a multiplicity of data sources available in today’s digital world.
• Smart: Incorporates advanced analytics to drive real-time insights.
• Automated: Uses automation technologies to improve productivity and reduce costs.
A recent study that we conducted with Forbes Insights found that most companies are in
the early stages of digitizing their supply chains. In fact, our study revealed that only a
small group of companies (9%) are applying high levels of digitization to their supply chain
planning and execution (see Figure 1).2
Given the industry’s measured embrace of supply chain digitization, we believe decision-
makers need to get serious about modernizing core capabilities that span the industry’s
value chain — from manufacturing and distribution through retailing. When applied
properly, supply chain digitization can address several issues including revenue growth,
our respondents believe.3
In fact, there is growing realization that despite widespread dissatisfaction with early
digital supply chain efforts revealed by our study, decision-makers believe more informed,
data-driven decision-making via enhanced analytics capabilities will eventually pay off. For
example, nearly half of senior executives in the retail and CPG industries (49%) believe
their organizations can achieve digital supply chain maturity over the next few years.4
2
Digital Business
| How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits
3. Only 9% of companies can be called
supply chain “progressives” — those with
high levels of maturity digitizing their
supply chain vs. 33% as “runner-ups” and
60% as “up and comers.”
3How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits |
Supply Chain Digitization: Early Innings
Figure 1
Source: Digital Supply Chain — Are you leading the pack? Cognizant’s latest study in collaboration with Forbes.
https://www.cognizant.com/supply-chain-digitization-report
Digital technology, however, remains a double-edged sword, and is seen both as an enabler
and as a top challenge for supply chain digitization by senior industry leaders. Often, user
dissatisfaction is not directed at a particular technology, but with how it is integrated into
a unified networked system. A significant percentage of executives believe that improved
data analytics is not delivering better business outcomes, a belief that is hindering digital
supply chain transformation.
We believe that organizations can overcome their digitization challenges by leveraging
the supply chain control tower to create more innovative business process and analytics
capabilities. This white paper will illustrate our best practices and recommendations for
doing so.
3
Digital Business
No effect
Increase of
up to 3%
Increase between
3% and 5%
Increase between
5% and 10%
Increase of
10% or more
9%
10%
21%
40%
21%
Retailers believe supply chain digitization
can enable several benefits …
… including revenue growth!
51% 36% 32% 32%
Cost
Savings
Manufacturing
Efficiency
Efficient
Customer
Experience
New
Organizational
Models
4. 4 | How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits
Digital Business
DEMYSTIFYING THE SUPPLY CHAIN CONTROL TOWER
We define the supply chain control tower as a cross-functional team empowered to monitor, analyze
and take suitable actions to improve specific KPIs across the extended value chain. The control tower
team utilizes the following three key components:
• Early 360-degree visibility: Information from across systems and processes is shared at the
right time.
• Cognitive computing engine: Information is monitored and analyzed; analytical tools assist
decision-making.
• Collaborative responsive mechanism: Disparate functions across the supply chain network work
in harmony via workflow management capabilities.
It is equally important to dispel myths about the supply chain control tower. A supply chain control
tower is not:
• A product that one vendor provides.
• A replacement of existing ERP or MRP systems.
4
Insights, Actions, Tracking, Monitoring & Control
Internal & External Collaboration
Data Analytics, Statistical Models, Predictive Analytics & Scenario Management
Alerts & Exceptions Management
Presentation, Mobility & Security
Data Consolidation, Mapping & Preprocessing
Data Feeds: Any System, Data or Format
COLLABORATIVE
RESPONSIVE
MECHANISM
COGNITIVE
COMPUTING ENGINE
EARLY
360-DEGREE
VISIBILITY
The Supply Chain Control Tower Trio
Supply chain control tower layered capabilities.
Figure 2
5. 5How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits |
Digital Business
• A one-size-fits-all solution for end-to-end visibility. It is typically tailored to an organization’s
specific needs in terms of its industry type, organizational structure, geographic reach and scope
of functions and processes.
Business Architecture
As Figure 2 (previous page) illustrates, the business architecture of the supply chain control tower
comprises three essential layers that power its primary capabilities.
• Early 360-degree visibility: Being digital requires insights. The business objective of this layer
is to provide real-time or near-real-time visibility to events pertinent to the KPIs monitored by the
control tower. This is enabled by:
»» Data and event integration: The KPIs are distilled into data elements to reveal which events
should be tracked to provide actionable information. These data elements and events must
then be mapped to enterprise systems that house such information.
»» Data processing: The data received by these systems of record is then consolidated and
processed to arrive at meaningful and readily useful insights.
»» Presentation: A dashboard presents the collated information to users in an easy-to-
understand and meaningful way (see Figure 3). It provides a shared synchronized view across
the organization and supply chain partners, with the ability to easily identify which events the
control tower team must respond to.
ATIF K.
Yard
Delivery
View 3
View 4
View 5
To do list Active | Resolved
Alert # 1455:
Trailer load time > 40 min.
Action:
1. Send email to NDC4.
NDC4@nestle.com
2. Dock door assignment revision
Alert # 1456:
Gate-to-door time > SLA.
Action: Contact Yard of NDC1.
+1-222-333-4444
Alert # 1457:
Trailer didn’t arrive for loading.
Action: Contact Carrier 3.
+1-222-333-4444
Alert # 1458:
Trailer load time >40 min.
Action:
1. Send email to NDC1.
NDC1@nestle.com
2. Dock door assignment revision.
Alert # 1459:
Trailer didn’t arrive for loading.
Action: Contact Carrier 3.
+1-222-333-4444
Health Check Key Performance Indicator Value Target
On time arrival of trailer 99% 95%
Gate-to-door average time 34 min 30 min
Unloading time / trailer 50 min 40 min
Time to open trailer door 11 min 15 min
80%
90%
Percentage of trailers leaving within SLA
% of trailers leaving within SLA
1 w | 1 m | 6 m | 1 y | custom
Unloading / loading time by hours of day
1 w | 1 m | 6 m | 1 y | custom
Gate-to-door time by hours of day
1 w | 1 m | 6 m | 1 y | custom
Today’s
overview
120
Total
scheduled
20
Yet to
arrive
17
In yard
83
Checked
out
120
Total
scheduled
18
Yet to
arrive
4
In yard
98
Checked
out
Yet to
arrive
20
Checked-
in
5
Reached
door
3
Trailer
opened
7
Trailer
unloaded
2
Checked-
out
83
Yet to
arrive
18
Checked-
in
2
Reached
door
2
Trailer
opened
0
Trailer
unloaded
0
Checked-
out
98
Alerts 1 3 4 2 33 Alerts 2 2 0 0 0
Console
50
45
40
35
30
25
20
15
10
5
0
70
60
50
40
30
20
10
0
70
60
50
40
30
20
10
0
MON TUE WED THU FRI SAT SUN 1:00 3:00 5:00 7:00 9:00 11:00 13:00 15:00 17:00 19:00 21:00 23:00 1:00 3:00 5:00 7:00 9:00 11:00 13:00 15:00 17:00 19:00 21:00 23:00
Inbound Outbound Total Unloading Loading Standard Unloading Loading Standard
Control Tower Dashboard
A dashboard similar to this can be used to monitor the events and KPIs across transportation, yard
and distribution center functions.
Figure 3
6. 6
»» Alert/exception management: A supply chain control tower issues alerts when an event that
impacts relevant KPIs occurs or is impending. These alerts are typically customized by orga-
nizational roles. Users can view the alerts and manage exceptions through the control tower
dashboard.
• Cognitive computing engine: Being digital requires intelligent action. The business objective of
this layer is to use data from external and internal sources to apply intelligence to business pro-
cesses, anticipate and prioritize issues, predict disruptions, mitigate effectively and ensure smart
autonomous decision-making. This is achieved by:
»» Quantifying impact: When an event has occurred, or is imminent, the team should be able to
anticipate and quantify the likely impact of the event so appropriate response measures can
be devised and delivered. The event could be a delay in production by an overseas vendor,
or an outage at a manufacturing plant, or a delay in one segment of a multitier, multi-nodal
transport network. The supply chain control tower will provide users with the capability to
understand and quantify the impact of such events on the relevant KPIs (service level, fill rates
and revenue).
»» Scenario analysis: This pivots around the analytic capability to develop and analyze various
scenarios to solve an exception. Importantly, this capability allows users to perform what-if
analysis of scenarios and understand the impact of pursuing one or more scenarios. This helps
the team evaluate different solution options.
»» Predictive analytics: A supply chain control tower not only provides visibility to what has
happened and what is happening, but it also helps predict what can happen next through its
predictive analytics capabilities.
• Collaborative responsive mechanism: Being digital requires automation and collaboration.
The business objective of this layer is to provide the means to collaborate across multiple func-
tional areas both within and outside the organization to effectively respond to an event. This is
achieved by:
»» Workflow process management: This allows various teams to leverage workflow capabilities
to orchestrate an effective response to an event. For example, if a delivery is delayed then
process management could trigger notifications to buyers, logistics managers and transporta-
tion planners. These stakeholders can be empowered to provide feedback on a mobile-enabled
workflow tool for immediate feedback.
»» Workflow tool integration to enterprise systems: The workflow tool can be integrated with
enterprise systems to automate certain types of response mechanisms when initiated by the
control tower team.
Digital Business
| How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits
A supply chain control tower not only
provides visibility to what has happened
and what is happening, but it also helps
predict what can happen next through its
predictive analytics capabilities.
7. 7How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits |
Digital Business
Organizations have often mistaken the control
tower construct to be the same as a visibility
solution. This has often led organizations
to undertake large, complex engagements to
provide so-called “end-to-end” visibility.
SETTING UP A CONTROL TOWER
Control towers have been on the agenda for a long time as a mechanism to improve key metrics in
the increasingly complex supply chain landscape. However, organizations have often mistaken the
control tower construct to be the same as a visibility solution. This has often led organizations to
undertake large, complex engagements to provide so-called “end-to-end” visibility. These programs
have met with varying levels of success and in many cases caused disenchantment with the concept
of a control tower.
We believe the focus of control towers should be on specific metrics/KPIs rather than on trying to
solve all issues in the supply chain. While visibility to events relevant for the KPIs is a must-have for
control towers, we believe analytics and process orchestration are two key components required to
inform and deliver sustained and meaningful business impact (see Figure 4).
1
IDENTIFY & PRIORITIZE
BUSINESS OBJECTIVES
Identify and prioritize the supply chain functional areas.
Define problem statements.
Identify the target KPIs.
2
DEVELOP DETECTION AND
RESPONSE MECHANISM
Identify data elements pertinent to target KPIs.
Define thresholds.
Develop response strategy — processes and workflows.
3
ENABLE THROUGH
TECHNOLOGY
Identify control tower building blocks.
Create roadmap.
Design and deploy.
4
EVOLVE THROUGH
CONTINUOUS IMPROVEMENT
Post-implementation benefit realization.
Continuously assess value creation by monitoring KPIs.
Provides input to the roadmap in recommending enhancement of capability maturity.
The Virtues of Supply Chain Control Towers
Figure 4
Big-bang approach to solve all issues in supply chain. Limited to just a visibility platform.
Business objective-driven. Focus on specific metrics/KPIs. Leverages analytics & process orchestration.
8. 8
Digital Business
| How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits
We suggest an evolutionary approach for setting up a control tower (see Figure 5). The steps include:
• Identify and prioritize business objectives. The organization should identify and prioritize supply
chain functional areas for the control tower. For the prioritized areas, organizations must define
the problem statements and identify the target KPIs. The initial objective needs to be improvement
on the prioritized KPIs.
• Develop detection and response mechanisms. Identify data elements that can help detect events
pertinent to KPIs. These data elements can be distributed across multiple enterprise systems. An
effective response strategy is to develop processes and workflows across teams to enable efficient
and effective management of KPIs.
• Enable through technology. Once the organization has the detection and response mechanisms/
processes defined — and perhaps honed manually over a period of time — these processes can be
technology-enabled.
DEFINE
BUSINESS OBJECTIVES
CREATE SUPPLY CHAIN
CONTROL TOWER CAPABILITY ROADMAP
IDENTIFY
CONTROL TOWER
BUILDING BLOCKS
Supply Chain Problem KPI Current Target
Area Statement State State
Area 1 — — — —
Area 2 — — — —
Area 3 — — — —
Area 4 — — — —
Visibility Analytics &
Decision-Making
Process
Orchestration
Alert
generation
Exception
management
Clean, real-time
information in context
Synchronized
shared View
Present day
data
Data
consolidation
Real-time visibility
from trading partners
Predictive
analytics
Scenario
management
Data
analytics
Statistical
models
Internal
collaboration
External
collaboration
Workflow process
management
Integration to
enterprise systems
Business Objectives
SupplyChain
Area1
SupplyChain
Area2
SupplyChain
Area3
Control Tower Building Blocks
Priority /
ranking Visibility Analytics Process
orchestration
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
* Color coding to categorize building blocks as
mandatory, nice to have, not required.
Supply Chain Control Tower Planning: Our Recommended Approach
Figure 5
9. 9How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits |
Digital Business
»» Identify control tower building blocks. Once the business objective are defined and pri-
oritized, the organization must identify the technology capabilities required to meet those
objectives. All business objectives do not need every control tower capability — visibility, pre-
dictive analytics and process orchestration — to achieve them.
»» Create a road map. The next step is to create a road map for the control tower that aligns with
business objectives and leverages technology levers as needed.
»» Design and deploy. The next step is to finalize the process and system design and imple-
ment the solution. Organizations should operationalize the suggested practices and process
improvements through timely training and communication.
• Evolve through continuous improvement. Once the solution is operational, the supply chain con-
trol tower continuously assesses its value creation by monitoring KPIs and continues to deliver
post-project benefits. This KPI assessment provides input for guiding the enhancement of capabil-
ities to enable continuous improvement on the path to digital supply chain maturity.
FOOTNOTES
1 “Digital Supply Chain — Are You Leading the Pack?” Cognizant and Forbes Insights, March 2017, p. 2 [PDF p. 4];
https://i.forbesimg.com/forbesinsights/cognizant_supply_chain/Digital_Supply_Chain.pdf.
2 Ibid, p. 2 [PDF p. 4].
3 Ibid, p. 2 [PDF p. 4].
4 Ibid, p. 5 [PDF p. 7].
10. 10
Digital Business
| How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits
11. 11How a Well-Executed Supply Chain Control Tower Can Accelerate Digital’s Business Benefits |
Digital Business
Girish Dhaneshwar
Assistant Vice President and
Consulting Partner — Retail,
Travel and Hospitality and
Consumer Goods business
unit, Cognizant
Girish Dhaneshwar is an Assistant Vice President and Consulting
Partner within Cognizant’s Retail, Travel and Hospitality and Con-
sumer Goods business unit. He has over 20 years of operations and
supply chain experience, and he is part of the consulting leader-
ship team responsible for setting strategic direction and leading
clients through transformational supply-chain initiatives. Girish has
an M.B.A. from S.P. Jain Institute of Management and Research,
Mumbai (SPJIMR Mumbai) and a bachelor’s degree in engineering
from College of Engineering, Pune (COEP). Girish can be reached
at Girish.Dhaneshwar@cognizant.com.
ABOUT THE AUTHORS
Niraj Singh
Assistant Vice President —
Consulting, Cognizant
Business Consulting
Atif Ali Khan
Manager — Consulting,
Cognizant Business
Consulting
Niraj Singh is an Assistant Vice President — Consulting within
Cognizant Business Consulting and a member of its Supply Chain
Practice’s leadership team. He has managed large engagements
for Fortune 100 clients worldwide, including the U.S., Japan,
Europe and India. Niraj has an M.B.A. from the Indian Insti-
tute of Management and a bachelor’s degree in manufacturing
engineering from the Indian Institute of Technology, Kharagpur.
He can be reached at Nirajkumar.Singh@cognizant.com.
Atif Ali Khan is a Manager — Consulting within Cognizant Business
Consulting. He has over 10 years of international consulting expe-
rience in retail and the supply chain with Fortune 100 companies.
Atif’s fortes are warehouse and distribution center operations, retail
order management, e-commerce supply chain and store opera-
tions. He holds CPIM accreditation, a bachelor of technology degree
from Aligarh Muslim University, Aligarh, India, and an M.B.A. in
marketing and finance from LBSIM, New Delhi. Atif can be reached
at AtifAli.Khan@cognizant.com.