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
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
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