SAP Innovation Awards 2020 Entry Pitch Deck Connecting

SAP® Innovation Awards 2020 Entry Pitch Deck Connecting Customers to your S/4 HANA Warehouse with SAP Conversational AI My Supply Chain Group, LLC

Company Information Headquarters Birmingham, Alabama, United States of America Industry Supply Chain Management and Execution Web site www. mysupplychaingroup. com My Supply Chain Group is a leading provider of Service Chain process re-engineering and application implementation services. We help leading brand name companies create a sustainable strategic advantage with excellence throughout their supply chain’s processes and applications. Our highly experienced consultants incorporate leading edge best practices & processes to ensure Value Maximization & Risk mitigation in your supply chain initiatives. MSCG brings real world experience and know-how. MSCG prides itself on continual innovation with SAP, focusing on Advanced Planning Optimization, Integrated Business Planning, Extended Warehouse Management, Yard Logistics and Transportation Management. MSCG’s stays on the cutting edge of SAP technology with our internal systems, giving our team to structure and tools to continually grow as SAP professionals and delivery the best of SAP for our customers. © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 2

Connecting Customers to your S/4 HANA EWM Warehouse My Supply Chain Group Challenge Conversational AI is the next step in the continual warehouse evolution. It has the ability to provide customers and employees of SAP Extended Warehouse Management to bring their own devices and native mobile applications with them and gain access to the operations of the warehouse. Customers are having issues tracking their orders being processed in an EWM managed Warehouse. ECommerce customers contact customer service checking status or changing their order and delivery. Customer service is calling the warehouse manager for these updates as they do not have access or knowledge of EWM. Solution Warehouse Assistant Chatbot with SAP Conversational AI to run queries and update orders that have been distributed to an EWM managed warehouse. This will provide the user with EWM specific execution details on their order, allow them to update the priority or cancel and change orders that are not currently be executed. Outcome Decreased phone calls and emails to the Warehouse Manager from Customer Service, increased productivity for all parties with shorter response times from Customer Service and direct communication with the warehouse leading to increased customer satisfaction. Increased Visibility Across the Supply Chain © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC Direct Communication for E-Commerce Customers Increased Satisfaction Through an Interactive User Experience 3

Business Challenges and Objectives SAP Extended Warehouse Management is an amazingly robust product that delivers the flexibility and agility to meet any customer requirements for warehousing. What makes EWM unique is also what makes it a challenge for cross process team to utilize. With EWM operations built specifically for warehousing, it differs from other modules, like SD, MM and PP, with warehouse specific terminology, uniquely formatted SAP transaction codes and core warehouse processes. The challenge our customers face on a daily basis is providing their cross teams the access and knowledge necessary to research the detailed status of their order in an EWM managed warehouse. This leads to decreased production because of a high amount of email and phone communications to the warehouse supervisors. The key objective of our project was to build a Chatbot leveraging SAP Conversational AI that enabled our customers to: § Remove email and phone communication between internal customers and the warehouse § Provide real time insights into the current and planned warehouse operations § Allow internal and external customers to change delivery relevant data for orders not in processing without accessing EWM § Provide a tool that customers can user on an internal Fiori launchpad or their own mobile device © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 4

Project or Use Case Details § Challenge: A company’s Customer Service group is having challenges tracking their orders being processed in an EWM managed Warehouse. Their E-Commerce customers are contacting the company to check on or change the delivery date for their order. The Customer Service group is not trained to operate EWM transactions and giving them access to EWM transactions could disrupt Warehouse operations. Currently, the only way to retrieve this information or being the process of changing data on an order distributed to EWM is by calling or emailing the Warehouse Manager and waiting for them to respond. § Solution: Provide the Customer Service group a Warehouse Assistant Chatbot with SAP Conversational AI to run queries and updated or cancel orders that have been distributed to an EWM managed warehouse. This will provide the user with EWM specific execution details on their order, allow them to update the priority or cancel and change orders that are not currently be executed. Furthermore, you can provide this same Chatbot to the E-Commerce customers to chat directly through the company Website with only access to check on their order status. § Outcome: Empowers the Customer Service group and E-Commerce customers to query their own orders, ultimately decreasing phone calls and emails to the Warehouse Manager from Customer Service, increasing productivity for all parties and increasing customer satisfaction with quick response times by Customer Service group and Wherehouse, The Warehouse Assistant Chatbot. © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 5

Benefits and Outcomes Business or Social Increased Productivity for: • • Warehouse • Customer Service • Sales Reduced training for Customer Service and Sales groups IT Human Empowerment • Reduction of Security Roles needed for EWM • Continual learning on the latest SAP technology • Customer Service and Sales groups cancel orders that have been distributed to EWM and not started, without needing to contact the Warehouse • E-Commerce customers get a live look into the Warehouse and the personnel working on their order • Increased transparency throughout supply chain execution Increased employee moral © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 6

Architecture Firewall INTERNET Your Datacenter End User EWM Application Client SAP Gateway* SAP Web IDE Cloud Foundry Environment Node. js i. OS Secure tunnel Android Conversational AI Connectivity Cloud connector Windows Fiori Mobile © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 7

Deployment status POC Date October 14, 2019 Number of users 120 SAP technologies used: SAP product Deployment status (live or proof of concept [POC]) Contribution to project 1 SAP EWM on S/4 HANA Proof of Concept Core system for data and architecture 2 SAP Cloud Foundry Proof of Concept Used to build and perfect Chatbot 3 SAP Conversational AI Proof of Concept Core Chatbot Structure 4 5 If you have used one of the services or support offerings from SAP Digital Business Services during the implementation or deployment phase, please select with X one or more of the following offerings: SAP Max. Attention™ SAP Active. Attention™ SAP Advanced Deployment SAP Value Assurance SAP Model Company Others: SAP Innovation Services SAP Innovative Business Solutions © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 8

Advanced Technologies The following advanced technologies were part of the project. Technology or use case Yes or No 1 3 D printing No 2 Blockchain No 3 Internet of Things (Io. T) No 4 Machine learning or AI No 5 Conversational AI Yes 6 Robotic process automation No 7 Data anonymization No 8 Augmented analytics No © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC Contribution to project Wherehouse, The Warehouse Assistant Chatbot built on CAI 9