Track and Trace

• Track and Trace• Need Vs Solution

Introduction

Supply Chain

• Collection• Consolidation• Reporting• Analytics

Solution Detail

• Plan• Resources

Project Detail

• Track and Trace• Need Vs Solution

Introduction

Supply Chain

• Collection• Consolidation• Reporting• Analytics

Solution Detail

• Plan• Resources

Project Detail

Mass Serialization (UID) Vision Inspection & Verification Global Server Management

Unique Serial ID generation (Multiple level) as per GS1 norms.

Alpha – Numeric Character

Codes Generated are not sequentialNumbers (Predictable)Codes are random numbers ( LessPredictable)Encryption & Decryption Algorithm

Inspection of the codes generated andprinted will be checked and decoded

Online Inspection will Verify :

• Printability of Human Readable Text

• Unique serial number• Data base management ( Real

Time ) In case of, Rejected codes

Further Up gradation till E- Pedigree/ Track & Trace

SMS verification for the end user.

Report generation at each level tracing transactionComplete report for supply chainManagement.Delivering Regulatory Compliance.

Pharmaceutical Track and Trace implementation

Track and Trace

Need Solution

Qualitative Edge

Tracking Supply Chain

Serialization Policies

Automated Solution

Competition

Counterfeiting

Compliance

Need vs Solution

BarriersLack of Common StandardsLack of SecurityNegative Impact on Production ProcessLack of InfrastructureCost

• Track and Trace• Need Vs Solution

Introduction

Supply Chain

• Collection• Consolidation• Reporting• Analytics

Solution Detail

• Plan• Resources

Project Detail

Supply Chain

The pharmaceutical supply chain is a complex one. Not knowing the process by which pharmaceuticals make their way to pharmacy shelves can lead to risk in counterfeit products. Track and Trace technology helps manage this risk and maintain pedigree by labeling pharmaceuticals and product packaging with barcodes tags each possessing a unique UID.

This allows products to be tracked, traced and recalled if necessary.

• Track and Trace• Need Vs Solution

Introduction

Supply Chain

• Collection• Consolidation (Tracking)• Reporting (Tracing)• Analytics

Solution Detail

• Plan• Resources

Project Detail

CollectionSingle TnT unit

Showing a unit of Track and Trace

Complete line implementation solution for pharmaceutical product line validation and tracking

CollectionLine integration Generation of serial numbers (UID) at multiple levels as per GS1 standards i.e.

Primary, secondary and Tertiary level. The numbers generated are alphanumeric and randomized.

Integration with many available Printers. E.g. Wolke m600, HSAJET, Alfa Jet, Image, Domino, etc.

High resolution machine vision Cameras High Speed Vision inspection system to perform {Multi camera (&at; 4-6 camera)

supported system}. Online 2D code inspection with ISO Standard grading analysis. Checking of UID (for its uniqueness and printability)

Collection

Collection Distribution Network

Aggregation allows us to understand which exact items, down to the individual serial number, are packed into any nominated container (e.g. Pallet Shipper Mono carton)

ConsolidationRelationship Traceability -ePEDIGREE

Shared Resources hosted on cloud for scalability

• CPU• Memory• Network• Storage• O/S• Application

Plant Server

Virtualized Global Server

ConsolidationPlant – Global sync

ConsolidationVirtualized Cloud Server

Desktop Application for data sync

Scanners to capture UID

Plant Server

Virtualized Global Server

Global trace with web application

Application will be developed to show data related to entered UID. Logic put in place to: Provide information about the batch / manufacturing / routing of the drug Provide detail of the shipment and chronological checkpoints Build logs and provide alerts to administration on erroneous UID traced and

help follow-up with users Provide check on current status and estimate time to next checkpoint Relational dependencies between packaging

UID – xx124y939u3kuerfManufactured – 12 jun 2011Batch – 120611KGP80C Code-XXPDrug Type – PCMExpiry – 2012More drug details…

Checkpoints covered – 3Next checkpoint – Distributor (click for details)

Delivery schedule – 3 weeksSchedule details…

ReportingApplication usage

ReportingAdmin data

Overall tracking of • Visitor Analysis• Visit Analysis• Content Analysis• Marketing Analysis

Web Analytics Application Analytics Dash boarding Executive Reporting

Application Tracking• Access Details• Application Logs• Activity logs• Error Logs

Dash Boards• Trace Summary• Track Summary• User Access Summary• Visitor Summary

Executive Reporting• Web details summary• Actionable insights• Summary of Performance• Critical Flags

• Traffic source overview• Map Overlay(Mapping of

visitors by demographic location)

• New Vs. Returning users

• Application User Logs• Error Logs• User Activity• Performance metrics

• Mobile devices• Apps launches• Video plays• Session frequency• Session length

• Top Content (Web Page)• Event Tracking

Categories(videos, case-studies, white papers etc.)

Standard/User defined Dashboards in Google Analytics (Illustrative)

Dedicated Reporting Support

• Track and Trace• Need Vs Solution

Introduction

Supply Chain

• Collection• Consolidation• Reporting• Analytics

Solution Detail

• Plan• Resources

Project Detail

PlanCurrent state vs Future state

Two phase approach with two separate channels of working

Functional development

Actual Implementation

Effectiveness

Efficiency

Functional development

Actual Implementation

Effectiveness

Efficiency

Prototype:TnT.PropixTech.co Functional Ideation Implementation and testing

innovative solutions Testing of new features and

analytic models

Client Product:Novartis-Ank.com Actual Implementation Integrated with supply chain Release based application upgrade Full functional module with

governance and compliance

PlanStages

Requirement / Analysis

Develop & Implement

Support & Manage

Extend & Innovate

• Program objectives and plan• Process for collaboration between

brand team, agency and Novartis IT/Cognizant

• Success metrics & measurement • Change management plan

• Pilot 1 brand website• Experience the asset

development life cycle with new process & team structure. Adapt model as needed.

• Minimize technology investment for Pilot phase – leverage the US Aprimo install for basic workflow and asset management.

• Focus on analytical needs for web, mobile & asset utilization

• Focus on defining a meta data model and taxonomy

• Institute a help desk & support center

• Support existing websites

• Manage demand for new website/mobile asset development

• Promote re-use of assets

• Measure success of Pilot phase• Go/No-Go decision to expand

program to brands/geography

• Transition to a robust DAM platform (Cognizant BPaaS solution)

• Consider “outcome based” cost & support model v/s user license model

• Migrate existing assets/websites/apps to new platform

• Expand to additional geography, add additional brands

Mth. 10Mth.4Mth. 2Mth. 1Phase 1 Phase 2 Phase 3 Phase 4

Low

High

ROI

Digital Content Development Services

(1 Pilot website)

Strategic Services(PM, CM, BC)

Digital Asset Mgmt. Basic Tool

(US Novartis Aprimo)

Digital Marketing Analytics Platform

(web, mobile, asset)

Digital Asset Mgmt. Services(meta data tagging, asset library)

Application Support Services(taxonomy mgmt, help desk)

Digital Content Development Services

(ongoing demand for asset development)

Cloud based offeringNo implementation costs

Option for “Outcome” based pricing (transactional pricing)

CTS DAM Solution

Optional: Integrate Aprimo with a robust3rd party DAM platform (e.g.

ADAM, Opentxt etc)High user license +

implementation costs

or

Appendix

Compute Instance Size CPU Memory Instance

StorageI/O Performance Cost Per Hour

Extra Small 1.0 GHz 768 MB 20 GB Low $0.05Small 1.6 GHz 1.75 GB 225 GB Moderate $0.12Medium 2 x 1.6 GHz 3.5 GB 490 GB High $0.24Large 4 x 1.6 GHz 7 GB 1,000 GB High $0.48Extra Large 8 x 1.6 GHz 14 GB 2,040 GB High $0.96

The different instance types will provide different minimum performance from the shared resources depending on their size. Compute instance sizes with a high I/O performance indicator as noted in the table above will have a larger allocation of the shared resources. Having a larger allocation of the shared resource will also result in more consistent I/O performance.

Hosting / Bandwidth

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