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SSC-SR
NTPC Shared Service Center- Southern Region-
Professional Circle Presentation-2020
VIGILANCE AWARENESS WEEK
NTPC Kudgi NTPC Simhadri
Migratory Birds at
NTPC Dadri
NTPC
Ramagundam
NTPC KOLDAM NTPC SINGRAULI
STRATEGIC PROCUREMENT–
PROCUREMENT THROUGH AI
A Presentation By
PC SAAVYAS
MEMBERS :
Ms A SRAVANI
Ms G USHA
Mr R SANTOSH KUMAR
Contents
2
3
4
1
1
0
7
8
9
6
INTRODUCTION
MATERIAL STORE
MANAGEMENT
ADVANTAGES
TRANSPORTATION
MANAGEMENT
CHALLENGES
WAY FORWARD
3
5
VENDOR SELECTION
INVENTORY
MANAGEMENT
AI IN PROCURMENT
EVOLUTION OF
PROCURMENT
Achieving maximum value for the Price is the underlying
Principle of Strategic Procurement
STRATEGIC PROCUREMENT–PROCUREMENT
THROUGH AI
What Changes has Procurement seen in
Last 25 years ??
How will Procurement look in
the next 15 years?
STRATEGIC PROCUREMENT–PROCUREMENT
THROUGH AI
EVOLUTION OF PROCUREMENT
Client
verifications
Audit
replies
Vendor
queries
PBG
Release
s
Follow up
for
delivery
Payment
Issues
Inspectio
n Issues
Vendor
Code
Creations
NEGOTIATIO
N
Document
Approvals after
PO
STRATEGIC PROCUREMENT–PROCUREMENT
THROUGH AI
CHALLENGES IN PROCUREMENT PROCESS
 Supply Risk
 Quality Risks
 Potential Fraud
 Urgent Purchases
 Lack of vendor data for some
items
 Process Inefficiencies
 Vendor Evaluation
 Compliance (Legal, internal, and
industry)
 Human Errors
 Too small Purchases
Taking a smart look at the future of
Procurement Practices
Artificial Intelligence in
Procurement
STRATEGIC PROCUREMENT–PROCUREMENT
THROUGH AI
WHAT IS ARTIFICIAL INTELLIGENCE
10
ARTIFICIAL
INTELLIGENCE
Perceptio
n
learning
problem
-solving,
decision
-making
capabiliti
es
recognizing
objects
Responding to
language
12
AI
APPLICATIO
NS
Virtual
Assistan
ts like
Siri,
Alexa
New
age
Video
Games
CRM
thru
Chatb
ot
Entertai
nments
like
NetFix
Youtube
Navigat
ion &
Maps
Social
Media
Feeds
Smart
Homes
&
Offices
Online
advertise
ments &
Product
recomme
ndations
APPLICATION OF ARTIFICAL INTELLIGENCE
 Oxford Insights and the International Research Development Centre
(IDRC) present the findings of our Government AI Readiness Index.
Rank Country Index
1 United States of
America
85.47
2 United Kingdom 81.12
3 Finland 79.23
4 Germany 78.97
5 Sweeden 78.77
6 Singapore 78.70
7 Republic of 77.69
8 Denmark 75.61
9 Netherlands 75.29
10 Norway 74.43
India is in the 40th Position with index 55.98
AI READINESS INDEX 2020
MYTHS ABOUT AI IN PROCUREMENT
What is not AI in Procurement What is AI in Procurement
Chrome or plastic –plated Automating or improving many
time-consuming tasks
Replacement of human
Procurement expertise
Procurement experts additional
insights based on extremely
complex and large sets of data
Magic solution you can tap to
your problems
High end software solution
at resolving a specific task
15
Indent Management
16
Vendor Management
Vendor Database
Vendor
Registration
page
Experience
and
Credential
records
Vendor Selection
Faster
Decisions
Competent
vendors
Vendor
Performance
Evaluation
Blacklisted
vendors
Feedback and
complaints of
EICs
Performance
Rating
Vendor
notifications
Enlistments
Vendor
Selections
Prospective
bidders
Vendor payments
Amount
Dates of
payment
CPG details
Payment
Delays
Vendor
specific
provisions
Option to bid
for specific
NTPC Project
17
Inventory Management
18
Process Management
Negotiations
Client verifications
Delivery follow ups
Tender document preparation
Process Templates –Integration
with DoP
File Tracking and Alert System
19
KEY ADVANTAGES OF AI IN PUBLIC
PROCURMENT
20
•ACCOUNTABILITY AND TRANSPERANCY
•INCREASES OPERATIONAL EFFICIENCY
•AUTOMATE MANUAL TASKS AND FREE UP
UP RESOURCES
•BETTER CONTRACT MANAGEMENT
KEY ADVANTAGES OF AI IN PUBLIC
PROCURMENT
21
•AUTOMATION OF SIMPLE PURCHASES
•SUPPLIER RISK MANAGEMENT
•BETTER SPEND ANALYSIS & PAYMENT
MANAGEMENT
•NEW SUPPLIER IDENTIFICATION
CHALLENGES OF AI IN PUBLIC
PROCUREMENT
22
ARTIFICIAL
INTELLIGENCE
IN
PROCURMENT
EFFECTIV
E USE OF
DATA
DATA &
AI SKILL
SET
AI ECO
SYSTEM
LEGACY
CULTURE
PROCURE
MENT
MECHANI
SM
DATA
SECURIT
Y
23
THE FUTURE OF PROCUREMENTS NTPC
Strategic
Sourcing as
backbone of
SSCs
Sanitized Master
Data (Material &
Vendor)
Artificial
Intelligence
driven Demand
Forecasting for
ABB Items
Manually
Finalize
Demand
for ABB
Approval
Generate
ABB PR
Procure
AI
Learni
ng of
Past
Data
and
Trend
s
Revie
w AI
based
Dema
nd for
ABB
Auto
Creat
e PR
Procu
re
AI based
Demand
Forecasting
and Automatic
ABB PR
generation
Procure
Present System
Introductio
n of AI to
Procureme
nt System
Stabilized
AI Driven
Demand
Forecasting
WAY FORWARD
24
TIME &
RESOURCE
CONSUMIN
G TASKS
OPERATIONAL
EFFICIENCY
IDENTIFY
REDUNDANT
TASKS &
ELIMINATE
DATA
SYSTEMS,
HANDLING
&
SECURITY
AI
INFRASTRUCTU
RE & ECO
SYSTEM
GIVE CLEAR
CHALLENGES
& MONITOR
OUTPUT
APPLY
TO
LARGE
SCALE
PROJECT
EXPERIMENT
HUMAN+
MACHINE
COLLABORA-
TION
PROCUREMENT
MECHANISM
NTPC HAS ALWAYS BEEN AT FRONT RUNNER IN ADOPTING NEW TECHNOLOGICAL INITIATIVES
25
/ntpc
1
/ntpc
ltd1
/ntpclim
ited
/Compan
y/ntpc
/ntpclimit
ed
Follow
Thank You
Website: www.ntpc.co.in |
Migratory Birds at NTPC Dadri
NTPC Ramagundam
CONCLUSION
26
 NTPC HAS TAKEN GIANT STRIDES IN ADOPTING TO
DIGITAL ENVIRONMENT
 ITS TIME TO LEVERAGE THE DIGITAL ENVIRONMENT
TO ARTIFICIAL INTELLIGENCE
 ENHANCE PROCURMENT MECHANISM TO ALIGN
WITH EVOLVING MARKET DYNAMICS IN THE SECTOR
MATERIAL STORE MANAGEMENT
27
•Material received and SRV generated
•Inspection and acceptance of material
•Material sent to custody section
•Manual and Physical verification of space
•Identification, allocation of space and
mapping location into system
Existing
Practice
AI based Smart Storage Space Allocation
 Dynamics of the entire storage space will be made available
in the application
 Automatic space recommendation and allocation considering
the size, weight, frequency of usage, nature of items etc.
 Optimal Storage space
 Minimal Retrieval time
 No Errors in Bin Location entry
 Ease of physical verification process
 Faster issue of material
MATERIAL STORE MANAGEMENT
28
INVENTORY MANAGEMENT
29
•Manual Tagging of NMI items
•System prompting during PR release for
NMI items with same material code
•Duplicate material codes
•Material cannot be issued after Shelf life
expiry
Existing
Practice
AI enabled Inventory Management
 Automatic tagging of NMI items
 Reduces Redundancy in material codification
 Alerts before expiry of Shelf life
 Alerts for items stored for long time
 Prompting similar items whenever PR is created for any item
 Aids in maintaining Optimal Inventory
 Reduction in unnecessary purchases and saves man hours
 Less PRs and Less NMI items
INVENTORY MANAGEMENT
30
VENDOR SELECTION PROCESS
31
•Identifying previous suppliers /
contractors from SAP/SRM/GeM for same
item
•Identifying vendors who have responded
in previous tenders
•Identifying previous vendors for similar
procurement
•Considering new vendors after credential
verification
Existing
Practice
AI aided Vendor Selection
 Immediate information of previous suppliers/ contractors
from all portals
 Prompts for vendors of similar materials/ services.
 Suggestions for including new vendors based on online
information
 Checking of banned and blacklisted vendors
 Vendor Ratings and performance feedback from social
media channels
 Online Tracking of latest suppliers status
VENDOR SELECTION PROCESS
32
TRANSPORTATION MANAGEMENT
33
• Supplier intimates Stores about the
readiness of item for despatch
•Stores dept. intimates the authorized
transporter to lift the material
•Specifies the type of truck considering
size, volumetric weight and value of the
consignment
•Transporter engages vehicle as per advice
of Stores
• Material reaches Site
Existing
Practice
AI supported Transportation Management
 Supplier raises a call by entering the dimensions, weight and
value of the consignment
 Information is passed to the Stores department with the
recommendation of the type of vehicle and the transporter.
 Automatic message to the transporter after approval from
Stores
 Provides balanced opportunity to all the authorized
transporters.
 Transport tracking
TRANSPORTATION MANAGEMENT
34

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Strategic Procurment Initiativest thorugh AI_Final_04.01.2021.pptx

  • 1. SSC-SR NTPC Shared Service Center- Southern Region- Professional Circle Presentation-2020 VIGILANCE AWARENESS WEEK NTPC Kudgi NTPC Simhadri Migratory Birds at NTPC Dadri NTPC Ramagundam NTPC KOLDAM NTPC SINGRAULI
  • 2. STRATEGIC PROCUREMENT– PROCUREMENT THROUGH AI A Presentation By PC SAAVYAS MEMBERS : Ms A SRAVANI Ms G USHA Mr R SANTOSH KUMAR
  • 4. Achieving maximum value for the Price is the underlying Principle of Strategic Procurement STRATEGIC PROCUREMENT–PROCUREMENT THROUGH AI
  • 5. What Changes has Procurement seen in Last 25 years ?? How will Procurement look in the next 15 years? STRATEGIC PROCUREMENT–PROCUREMENT THROUGH AI
  • 8. CHALLENGES IN PROCUREMENT PROCESS  Supply Risk  Quality Risks  Potential Fraud  Urgent Purchases  Lack of vendor data for some items  Process Inefficiencies  Vendor Evaluation  Compliance (Legal, internal, and industry)  Human Errors  Too small Purchases
  • 9. Taking a smart look at the future of Procurement Practices Artificial Intelligence in Procurement STRATEGIC PROCUREMENT–PROCUREMENT THROUGH AI
  • 10. WHAT IS ARTIFICIAL INTELLIGENCE 10 ARTIFICIAL INTELLIGENCE Perceptio n learning problem -solving, decision -making capabiliti es recognizing objects Responding to language
  • 11.
  • 13.  Oxford Insights and the International Research Development Centre (IDRC) present the findings of our Government AI Readiness Index. Rank Country Index 1 United States of America 85.47 2 United Kingdom 81.12 3 Finland 79.23 4 Germany 78.97 5 Sweeden 78.77 6 Singapore 78.70 7 Republic of 77.69 8 Denmark 75.61 9 Netherlands 75.29 10 Norway 74.43 India is in the 40th Position with index 55.98 AI READINESS INDEX 2020
  • 14. MYTHS ABOUT AI IN PROCUREMENT What is not AI in Procurement What is AI in Procurement Chrome or plastic –plated Automating or improving many time-consuming tasks Replacement of human Procurement expertise Procurement experts additional insights based on extremely complex and large sets of data Magic solution you can tap to your problems High end software solution at resolving a specific task
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  • 17. Vendor Management Vendor Database Vendor Registration page Experience and Credential records Vendor Selection Faster Decisions Competent vendors Vendor Performance Evaluation Blacklisted vendors Feedback and complaints of EICs Performance Rating Vendor notifications Enlistments Vendor Selections Prospective bidders Vendor payments Amount Dates of payment CPG details Payment Delays Vendor specific provisions Option to bid for specific NTPC Project 17
  • 19. Process Management Negotiations Client verifications Delivery follow ups Tender document preparation Process Templates –Integration with DoP File Tracking and Alert System 19
  • 20. KEY ADVANTAGES OF AI IN PUBLIC PROCURMENT 20 •ACCOUNTABILITY AND TRANSPERANCY •INCREASES OPERATIONAL EFFICIENCY •AUTOMATE MANUAL TASKS AND FREE UP UP RESOURCES •BETTER CONTRACT MANAGEMENT
  • 21. KEY ADVANTAGES OF AI IN PUBLIC PROCURMENT 21 •AUTOMATION OF SIMPLE PURCHASES •SUPPLIER RISK MANAGEMENT •BETTER SPEND ANALYSIS & PAYMENT MANAGEMENT •NEW SUPPLIER IDENTIFICATION
  • 22. CHALLENGES OF AI IN PUBLIC PROCUREMENT 22 ARTIFICIAL INTELLIGENCE IN PROCURMENT EFFECTIV E USE OF DATA DATA & AI SKILL SET AI ECO SYSTEM LEGACY CULTURE PROCURE MENT MECHANI SM DATA SECURIT Y
  • 23. 23 THE FUTURE OF PROCUREMENTS NTPC Strategic Sourcing as backbone of SSCs Sanitized Master Data (Material & Vendor) Artificial Intelligence driven Demand Forecasting for ABB Items Manually Finalize Demand for ABB Approval Generate ABB PR Procure AI Learni ng of Past Data and Trend s Revie w AI based Dema nd for ABB Auto Creat e PR Procu re AI based Demand Forecasting and Automatic ABB PR generation Procure Present System Introductio n of AI to Procureme nt System Stabilized AI Driven Demand Forecasting
  • 24. WAY FORWARD 24 TIME & RESOURCE CONSUMIN G TASKS OPERATIONAL EFFICIENCY IDENTIFY REDUNDANT TASKS & ELIMINATE DATA SYSTEMS, HANDLING & SECURITY AI INFRASTRUCTU RE & ECO SYSTEM GIVE CLEAR CHALLENGES & MONITOR OUTPUT APPLY TO LARGE SCALE PROJECT EXPERIMENT HUMAN+ MACHINE COLLABORA- TION PROCUREMENT MECHANISM NTPC HAS ALWAYS BEEN AT FRONT RUNNER IN ADOPTING NEW TECHNOLOGICAL INITIATIVES
  • 26. CONCLUSION 26  NTPC HAS TAKEN GIANT STRIDES IN ADOPTING TO DIGITAL ENVIRONMENT  ITS TIME TO LEVERAGE THE DIGITAL ENVIRONMENT TO ARTIFICIAL INTELLIGENCE  ENHANCE PROCURMENT MECHANISM TO ALIGN WITH EVOLVING MARKET DYNAMICS IN THE SECTOR
  • 27. MATERIAL STORE MANAGEMENT 27 •Material received and SRV generated •Inspection and acceptance of material •Material sent to custody section •Manual and Physical verification of space •Identification, allocation of space and mapping location into system Existing Practice
  • 28. AI based Smart Storage Space Allocation  Dynamics of the entire storage space will be made available in the application  Automatic space recommendation and allocation considering the size, weight, frequency of usage, nature of items etc.  Optimal Storage space  Minimal Retrieval time  No Errors in Bin Location entry  Ease of physical verification process  Faster issue of material MATERIAL STORE MANAGEMENT 28
  • 29. INVENTORY MANAGEMENT 29 •Manual Tagging of NMI items •System prompting during PR release for NMI items with same material code •Duplicate material codes •Material cannot be issued after Shelf life expiry Existing Practice
  • 30. AI enabled Inventory Management  Automatic tagging of NMI items  Reduces Redundancy in material codification  Alerts before expiry of Shelf life  Alerts for items stored for long time  Prompting similar items whenever PR is created for any item  Aids in maintaining Optimal Inventory  Reduction in unnecessary purchases and saves man hours  Less PRs and Less NMI items INVENTORY MANAGEMENT 30
  • 31. VENDOR SELECTION PROCESS 31 •Identifying previous suppliers / contractors from SAP/SRM/GeM for same item •Identifying vendors who have responded in previous tenders •Identifying previous vendors for similar procurement •Considering new vendors after credential verification Existing Practice
  • 32. AI aided Vendor Selection  Immediate information of previous suppliers/ contractors from all portals  Prompts for vendors of similar materials/ services.  Suggestions for including new vendors based on online information  Checking of banned and blacklisted vendors  Vendor Ratings and performance feedback from social media channels  Online Tracking of latest suppliers status VENDOR SELECTION PROCESS 32
  • 33. TRANSPORTATION MANAGEMENT 33 • Supplier intimates Stores about the readiness of item for despatch •Stores dept. intimates the authorized transporter to lift the material •Specifies the type of truck considering size, volumetric weight and value of the consignment •Transporter engages vehicle as per advice of Stores • Material reaches Site Existing Practice
  • 34. AI supported Transportation Management  Supplier raises a call by entering the dimensions, weight and value of the consignment  Information is passed to the Stores department with the recommendation of the type of vehicle and the transporter.  Automatic message to the transporter after approval from Stores  Provides balanced opportunity to all the authorized transporters.  Transport tracking TRANSPORTATION MANAGEMENT 34