It is mandatory for every medicine or pharma packaging to have a unique serial code or UID. Project is to build a web application that will provide tracking capabilities for the UID for pharma packaging of drugs. The track feature (TRACK n trace) will track the UID of each package by using vision based scanners, RFIDs, etc. and store the data into a local server. The server will be synced daily with a global server (we are looking for cloud based hosting platforms such as Windows Azure or amazon web services). We have to build the trace functionality (Track n TRACE) by building a web interface where a person with the UID can trace the shipment. We have to keep historical records for as long as 10 years and build logic on basis of the UID state. We have to provide the details from the database as in when was this package manufactured, when was it shipped, etc. If the UID entered is faulty for example; it wasn’t ever manufactured or if it is over its expiration date then we have to generate corresponding errors and also maintain a log of such entries and send notification to the admins with details of IP, Geography or where the error generated.

1. Track and Trace

2. Introduction
• Track and Trace
• Need Vs Solution
Supply Chain
Solution Detail
• Collection
• Consolidation
• Reporting
• Analytics
Project Detail
• Plan
• Resources

3. Introduction
• Track and Trace
• Need Vs Solution
Supply Chain
Solution Detail
• Collection
• Consolidation
• Reporting
• Analytics
Project Detail
• Plan
• Resources

4. Track and Trace
Pharmaceutical Track and
Trace implementation
Mass Serialization (UID) Vision Inspection & Verification Global Server Management
Unique Serial ID generation Inspection of the codes generated Further Up gradation till
(Multiple and E- Pedigree/ Track & Trace
level) as per GS1 norms. printed will be checked and decoded
SMS verification for the end user.
Alpha – Numeric Character Online Inspection will Verify :
Report generation at each level
Codes Generated are not sequential • Printability of Human Readable tracing transaction
Numbers (Predictable) Text Complete report for supply chain
Codes are random numbers ( Less • Unique serial number Management.
Predictable) • Data base management ( Real Delivering Regulatory Compliance.
Encryption & Decryption Algorithm Time ) In case of, Rejected codes

5. Need vs Solution
Need Solution

6. Introduction
• Track and Trace
• Need Vs Solution
Supply Chain
Solution Detail
• Collection
• Consolidation
• Reporting
• Analytics
Project Detail
• Plan
• Resources

7. 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.

8. Introduction
• Track and Trace
• Need Vs Solution
Supply Chain
Solution Detail
• Collection
• Consolidation (Tracking)
• Reporting (Tracing)
• Analytics
Project Detail
• Plan
• Resources

9. Collection
Single TnT unit
Showing a unit of Track and Trace
Complete line implementation solution for pharmaceutical product line
validation and tracking

10. Collection
Line 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)

11. Collection

12. Collection
Distribution Network

13. Consolidation
Relationship Traceability -ePEDIGREE
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)

14. Consolidation
Plant – Global sync
Plant Server
Virtualized Global Server
Shared Resources hosted
on cloud for scalability
•CPU
•Memory
•Network
•Storage
•O/S
•Application

15. Consolidation
Virtualized Cloud Server
Scanners to
capture UID
Plant Server
Desktop
Application
for data sync
Virtualized Global Server

16. Reporting
Application usage
UID – xx124y939u3kuerf Checkpoints covered – 3
Manufactured – 12 jun 2011 Next checkpoint – Distributor
Batch – 120611KGP80C (click for details)
Code-XXP
Drug Type – PCM Delivery schedule – 3 weeks
Expiry – 2012 Schedule details…
More drug details…
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

17. Reporting
Admin data
Web Analytics Application Analytics Dash boarding Executive Reporting
Dash Boards
Overall tracking of Application Tracking • Trace Summary Executive Reporting
• Visitor Analysis • Access Details • Track Summary • Web details summary
• Visit Analysis • Application Logs • User Access Summary • Actionable insights
• Content Analysis • Activity logs • Visitor Summary • Summary of Performance
• Marketing Analysis • Error Logs • Critical Flags
Dedicated Reporting Support
• Traffic source overview • Mobile devices
• Application User Logs • Top Content (Web Page)
• Map Overlay(Mapping of • Apps launches
• Error Logs • Event Tracking
visitors by demographic • Video plays
• User Activity Categories(videos, case-
location) • Session frequency
• Performance metrics studies, white papers etc.)
• New Vs. Returning users • Session length
Standard/User defined Dashboards in Google Analytics (Illustrative)

18. Introduction
• Track and Trace
• Need Vs Solution
Supply Chain
Solution Detail
• Collection
• Consolidation
• Reporting
• Analytics
Project Detail
• Plan
• Resources

19. Plan
Current state vs Future state
Two phase approach with two separate channels of working
Functional Functional
development development
Effectiveness Actual Actual
Effectiveness
Implementation Implementation
Efficiency Efficiency
Prototype: Client Product:
TnT.PropixTech.co Novartis-Ank.com
 Functional Ideation  Actual Implementation
 Implementation and testing  Integrated with supply chain
innovative solutions  Release based application upgrade
 Testing of new features and  Full functional module with
analytic models governance and compliance

20. Plan
Stages
High
Extend & Innovate
CTS DAM Solution
Cloud based offering
No implementation costs
Option for “Outcome” based
pricing (transactional pricing)
Support & Manage
Application Support Services Digital Asset Mgmt. Services or
(taxonomy mgmt, help desk) (meta data tagging, asset library)
Optional: Integrate Aprimo with a
Digital Content
robust3rd party DAM platform
Development Services
(e.g. ADAM, Opentxt etc)
(ongoing demand for
High user license +
asset development)
implementation costs
ROI
Develop & Implement Digital MarketingDigital Asset Mgmt.
Analytics Platform Basic Tool
(web, mobile, (US Novartis
asset) Aprimo)
• Transition to a robust DAM
Digital Content platform (Cognizant BPaaS
Development Services • Focus on defining a meta data solution)
(1 Pilot website) model and taxonomy • Consider “outcome based” cost &
Requirement / Analysis • Pilot 1 brand website • Institute a help desk & support support model v/s user license
• Experience the asset center model
development life cycle with • Support existing websites • Migrate existing
Strategic Services new process & team structure. assets/websites/apps to new
(PM, CM, BC) Adapt model as needed. • Manage demand for new platform
• Minimize technology website/mobile asset • Expand to additional geography,
• Program objectives and plan investment for Pilot phase – development add additional brands
• Process for collaboration between leverage the US Aprimo install • Promote re-use of assets
brand team, agency and Novartis for basic workflow and asset
IT/Cognizant management. • Measure success of Pilot phase
• Success metrics & measurement • Focus on analytical needs for • Go/No-Go decision to expand
Low • Change management plan web, mobile & asset utilization program to brands/geography
Mth. 1 Mth. 2 Mth.4 Mth. 10
Phase 1 Phase 2 Phase 3 Phase 4

21. Appendix

22. Hosting / Bandwidth
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.
Compute Instance I/O
CPU Memory Cost Per Hour
Instance Size Storage Performance
Extra Small 1.0 GHz 768 MB 20 GB Low $0.05
Small 1.6 GHz 1.75 GB 225 GB Moderate $0.12
Medium 2 x 1.6 GHz 3.5 GB 490 GB High $0.24
Large 4 x 1.6 GHz 7 GB 1,000 GB High $0.48
Extra Large 8 x 1.6 GHz 14 GB 2,040 GB High $0.96

23. THANK YOU