TCS Logistics Optimizer Realizing Resilient Supply Chain TCS

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TCS Logistics Optimizer Realizing Resilient Supply Chain TCS Confidential

TCS Logistics Optimizer Realizing Resilient Supply Chain TCS Confidential

Plan Deliver Make EXECUTION MONITORING Returns Last Mile Logistics Outbound Logistics Raw Material Vendors

Plan Deliver Make EXECUTION MONITORING Returns Last Mile Logistics Outbound Logistics Raw Material Vendors PLANNING Process View Source Inbound Logistics Scope SCM View Supply Chain Value Stream and Logistics Solution Mapping Reverse Logistics/Returns Transport Planning Capacity Planning Distribution Planning Dynamic Scheduling Event Management Live tracking Route Optimization Delay Prediction Driver Management Fleet Management Safety & Compliance Cycle Time Shipment Visibility Contextual Alerts Dynamic Response Deviation alerts Customer

Voice of Industry about Logistics priorities Top 5 Priorities in Logistics 96% Maintain High

Voice of Industry about Logistics priorities Top 5 Priorities in Logistics 96% Maintain High Customer Service levels 94% 93% Lowering Logistics Cost Improve Efficiency & Productivity 74% 79% Logistics Initiatives to drive growth Improve Logistics Asset Utilization Focus Areas for Improvement Logistics Optimization Supply Chain Visibility Communication & Collaboration Performance Reporting 55% of the respondents say 52% of the respondents wants to have In-Transit Visibility among the supplier and customer. SC Flexibility another key 43% of the respondents believe Carrier-Partner collaboration is essential. Customer-Carrier 42% of the respondents through electronic means control cost. Optimization is key – Shipment planning, routes, modes and load consolidation, dynamic carrier selection communication be all pervasive enabled ask in LE TCS Confidential believes Logistics Performance Reporting is essential to Comprehensive KPI and Access to LE Data is also vital

Voice of business users across the value chain for recovery Original Forecast before t

Voice of business users across the value chain for recovery Original Forecast before t Situation he Covid does good an n’t hold y more stem is y S g n i t s Exi e to handl not able changes us the vario ronment vi in the en Custome requirem rs en changing ts are fa need som st and ething to respond to multi variation s Supply Chain Logistics Planner Manager Real-time routi ng and adjustmen ts based on supply chain events. Real tim e 0 peratio adjustme nal nts on issues based such as waiting t ime, loading t ime etc. IT Shortage of resources and exclusive capacity Visibility e im t la e R ce of resour r y fo availabilit els mod decision Plant Manager ave high Should h ty, i Availabil tion pplica Current a is low. y availabilit TCS Confidential Logistics Manager Contract terms to be updated and implemented with shorter lead time Finance System s hould Scalabilit be (Compat y ible for multiple geog and lang raphy uages) Better user experience (Ease of use)

Logistics Orchestration in nutshell ERP Plant Master Customer Master TMS/Logistics Management External Systems Supplier

Logistics Orchestration in nutshell ERP Plant Master Customer Master TMS/Logistics Management External Systems Supplier Master Sensors and Telematics Carrier Master CRM Inbound and Outbound Orders Forecasting Capacity Management Planning Logistics Orchestration Dynamic Scheduling Capacity gaps & Recommendation to Procurement Logistics Commercial Contracts Workforce Planning Delay Prediction Real-time Visibility Optimized Sequencing and Real time adjustments Delivery Inbound Supplier Other Home grown systems Outbound Production Warehouse TCS Confidential Logistics Distribution Returns Last mile Customer

Supply Chain Recovery needs TMS & Existing Solutions What is Needed… It’s Potential Static

Supply Chain Recovery needs TMS & Existing Solutions What is Needed… It’s Potential Static business rule based Transportation Planning & Scheduling Visibility of LE Options Event Response system High Manual Interventions Doesn’t aid visibility of real time inputs or decision support Challenges to Simulate Automated Dynamic planning Creating What-if scenarios is really difficult Real time Optimization Doesn’t support choosing the optimized execution decision Re-adjustment is a challenge Re-adjusting created schedule and re-routing is a challenge Customization is impossible Customization of cloud based solutions seem impossible Agility to respond & self adjust to SC events Contextual insights to help real time decision support Orchestrate SC events across capacitated resources TCS Confidential Interoperability decision models for connected ecosystem Optimized utilization across the ecosystem Dynamic event response based on the real-time status of resources Exogenous Data Modeling to bring in synergies across the value chain

Business Architecture Sales Team IT Manufacturing Logistics Suppliers End Customers Web ERP and other

Business Architecture Sales Team IT Manufacturing Logistics Suppliers End Customers Web ERP and other Systems Policies, Procedures & Compliance Mobile Voice AI - Insights Device Instructions Alerts Transport Order Management Logistics Planning Real-time Decision enablers Execution Engine TCS Digifleet™ Order Entry / Transfer Readjustment to Forecast and Real-time variation Dynamic Event Management Real time - Visibility and Tracking Dynamic Demand Supply Mapping Short Term Planning and Scheduling Options and Impact Visibility e. POD Direct Channels adjustments Logistics Execution Reallocation of assets and resources Execution Analytics Dashboards Integrated SCM Finance , Contracts and TCO Inventory & Replenishment TCS Confidential Production Plan updates Logistics 4. 0

Solution Features Real-time Event Response § Scenario analysis based on events to respond in

Solution Features Real-time Event Response § Scenario analysis based on events to respond in real-time. § Contextual Engine to handle real time events Dynamic Scheduling § Dynamic Scheduling of Capacitated Resources based on KPI Objectives § Multidimensional Routing, Back hauling utilization Integrated Capacity Management § Integrated data model for Procurement, Plant operations of inbound and outbound § Multi-objective decision models – Consolidation, cost reduction, increase effectiveness Ecosystem Enablement § Capacity sharing across the value chain (Suppliers, Plant § System response with exogenous factors Delay Prediction § Exogenous and Endogenous based delay prediction § Active alert management and alternatives Industry 4. 0 ready § DMP Platform with core components ready for industry 4. 0 § Sensors to Analytics to Business decision models TCS Confidential

Potential Benefits 20% Reduction in Resources 17% Increase in On Time Delivery 23% Increase

Potential Benefits 20% Reduction in Resources 17% Increase in On Time Delivery 23% Increase in resource utilization 15% Decrease in Cost – Enabling operations with short supply of resources – Assisting in faster recovery and customer support – Realizing fulfillment with existing resources – Handling Multi constrained scenario TCS Confidential

Realized benefits – Case in Point THEN 326 Trucks/Day Not Measured 80 % On-time

Realized benefits – Case in Point THEN 326 Trucks/Day Not Measured 80 % On-time fulfilment rate >50% Empty Trips Logistics Decision Model (AI Based) Increase no of trips/truck Reduce empty trips Consolidate shipments / inbound & Outbound Increase total loaded distance/truck NOW 262 Trucks/Day 77. 5% Efficiency 94. 04% On time fulfilment rate < 30% Empty Trips TCS Confidential

Thank You TCS Confidential

Thank You TCS Confidential