Databases

Machine Learning Base Text Processing for PPRA Data

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Problem Statement • Unstructured Data • No Insights Available Proposed Solution • Machine Learning Based • Higher Accuracy Project Details • AI Models Development • Data Standardization Insights • Highlights of the data

Way Forward • Recommendations Problem Statement

How many Tenders Floated in Last Year ?

Which organization floated most of Tenders ?

Which organization is consumed most of the Budget ?

Lowest Bidders ?

Bidder who Never Won a Project ?

Bidder Participating in Every Tender ?

What Organizations Planned in last 5 Years ?

Federal PPRA holds the data of the last 10 years in electronic files in unstructured format like PDF, Docs, Images etc. No insight can be generated from filed data. Problem Statement

Type Ext Percentage Files Size JPG File .JPG 48.02% 164,856 41.6 GB Microsoft Word 97 - 2003 Document .doc 11.20% 59,462 9.70 GB PDF File .pdf 37.07% 57,450 32.1 GB Microsoft Excel 97-2003 Worksheet .xls 2.80% 2,292 2.42 GB Data Base File .db 0.17% 2,147 152 MB GIF File .gif 0.13% 1,103 111 MB 290,000 Documents Microsoft Word Document .docx 0.11% 607 98.4 MB No Database/Structure JPEG File .jpeg 0.07% 163 60.7 MB Shortcut .lnk 0.00% 97 5.15 KB Configuration settings .ini 0.00% 90 23.5 KB Microsoft Excel Worksheet .xlsx 0.06% 49 49.6 MB BMP File .bmp 0.07% 27 65.7 MB Microsoft Word 97 - 2003 Template .dot 0.00% 17 1.12 MB TIF File .tif 0.02% 15 21.7 MB HTM File .htm 0.00% 12 332 KB PNG File .png 0.01% 11 8.62 MB Rich Text Format .rtf 0.00% 9 4.32 MB INP File .inp 0.00% 6 1.46 MB Microsoft PowerPoint 97-2003 Presentation .ppt 0.00% 4 704 KB Microsoft Word Template .dotx 0.00% 3 168 KB WinRAR archive .rar 0.01% 3 9.74 MB FP_FOLDER_INFO File .fp_folder_info 0.00% 2 206 bytes Microsoft PowerPoint Presentation .pptx 0.00% 2 384 KB TMP File .tmp 0.00% 2 32.2 KB 07) File .07) 0.00% 1 189 KB Microsoft Word Macro-Enabled Template .dotm 0.00% 1 20.6 KB HTML File .html 0.00% 1 48.3 KB Text Document .log 0.00% 1 173 bytes LOGS File .logs 0.00% 1 12 bytes PSD File .psd 0.00% 1 2.63 MB Microsoft Publisher Document .pub 0.00% 1 248 KB

In total Federal PPRA have 290,000 scanned copies of different tenders/awards they have floated so far in last 10 Years. If any analysis is required, then it will need significant time and effort to do humanly with high possibility of data entry errors Flintstones to Jetsons.. Proposed Solution

Relational Database Unstructured Data

Word Bank Output

Pre Cooked Insights

The World Bank team with support of Dice Analytics did a prototype followed by implementation for AI Driven solution where Unstructured PDF, DOC, Word and Image files can be converted into SQL based queryable format. Proposed Output

Relational Database

Mongo DB

Three different formats of Output, SQL Database, MongoDB and OCDS Format are generated Challenges

• No unique ID to link all file documents from Planning to Contract award for a single procurement activity • No standard format for any file document type (tabular, narrative, bullet points) • File Documents are prepared and scanned by different agencies, so no data validation (only numbers allowed in contract cost) • No standard naming of files and folders (like tender notices are mixed with contract award) Proposed Output

Above animation highlights the capability enablement at the end of the Project. Proposed Project Plan

Week #1 Week #3 Week #5 Week #7

-Data Analysis Report -Planning Docs Model V3 -Planning Docs Model V5 -Planning Docs Model V7 -OCR Engine -Tender Docs Model V3 -Tender Docs Model V5 -Tender Docs Model V7 -Trained Models V1 Output -Contracts Model V3 -Contracts Model V5 -Contracts Model V7 -QA Portal Status -Evaluation Docs Model V3 -Evaluation Docs Model V5 -Evaluation Docs Model V7 -Monitoring Dashboard -Documents QA Status -Documents QA Status -Documents QA Status -Weekly Report -Weekly Report -Weekly Report -Weekly Report

1 2 3 4 5 6 7 8

-Planning Docs Model V2 -Planning Docs Model V4 -Planning Docs Model V6 -Finalize UAT -Tender Docs Model V2 -Tender Docs Model V4 -Tender Docs Model V6 -Finalize QA -Contracts Model V2 -Contracts Model V4 -Contracts Model V6 -Evaluation Docs Model V2 -Evaluation Docs Model V4 -Evaluation Docs Model V6 -Documents QA Status -Documents QA Status -Documents QA Status -Weekly Report -Weekly Report -Weekly Report Week #2 Week #4 Week #6 Week #8 High Level Scope: 1. Only English Language Documents 2. Data Conversion 3. Non Blurred Documents Out of Scope Deliverables

When final output of data is generated, it was observed that data is not standardized. Like same implementing agency is written differently across various documents or contract amount is mentioned in combination of words and figures. Dice Analytics did standardization with a no cost time extension of 2 months. Data Standardization Process Data Standardization Portal

50+ Columns Data Standardization QA require human intervention, for this DICE Analytics hired 100+ (in different batches due to high churn rate of staff because of COVID-19) and a separate QA/Data Standardization Portal was developed. Information Map

Tenders Contract 1 Contract 2

Awards Planning Evaluation

70+ Attributes Proposed Technical Architecture

DICE Analytics proposed above highlighted proposed architecture for the converting unstructured Data Analysis to analyzable Structured Format. Proposed TechnicalProposed Architecture PDF2Image Python PDF2Image Pytesseract

Basic OCR to convert data into Digital format Edge Detection Edge Open CV Open Layout/Table Detection Regex Spacy NLP NER – Entity/Context Recognition Project Completed Project Completion Status

Step 1 Step 2 Step 3 Step 4 Result

OCR AI Quality Data Analytics Engine Models Assurance Standardization Generation

290K 6 Sample Based Human Driven Documents Models

Insights Project Completion Status Documents Division

Contracts Awards

o 1,634 Rows o 1,991 Documents o 90 Organizations Evaluation

o 25,368 Rows o 26,923 Documents Tenders o 114 Organizations o 255,000 Rows Planning o 140,000 Documents o 2,500 Organizations Documents o 85,000 Rows o 1,618 Documents o 498 Organizations Some of highlights of 10 years..

• 44% of the contracts are in range of PKR 100M to PKR 1B • Contracts are mostly signed in Q4 and Q1 of fiscal year • In 2016-18 major procurements were in Energy Sector • 2018 onwards roads construction activities increased • Cost Estimates for Civil Works are provided by very few Implementing Agencies • On average three bidders attended the bid opening • Trends in Planning data do not correspond to contract data • 55% of the activities have bid submission time of less than 1 month Some of highlights of 10 years..

• Furniture and office equipment are major activities in Procurement Plans • Civil Works is the major category for Contract extension • Planning is mostly done in Q1 of fiscal year • 46% of contract in terms value have completion time of 1 year • Majority of tenders were published in January • Average number of bids received is 4 • Average number of bid document sold is 11 • 60% of the activities are National Procurement Way Forward..

Current scope of the project An interactive dashboard Current scope of the project was only limited to Federal Search platform should be was only limited to extracting PPRA historical filed data. developed over PPRA website. approximately 70 fields from Provincial PPRAs can also From where public can easily the provided data. However benefit from this approach in visualize and get access to there exist more than 200 transforming their historical procurement related data. fields in provide data and data to create a National those fields will bring a lot of Public Procurement Data new insights on board. The Platform activity be expanded accordingly to include those additional 130 features. 30 more Data Slides.. Contract 1 Summary

Number of Documents Time Period Unique Organizations Federal Government Foreign Currency 1,861 2009-19 88 1,339 30%

Contract Values - PKR Est. Civil Works Only Avg. Completion Est. Part of Annual Plan Most Contracting Mon 125 Trill. 524 Bill. 418 Days 86% July (Count Wise)

Most Contracting Mon Most Contracting Year Most Contracting Year Top Org. Count Wise Top Org. Value Wise

1. Petroleum 1. SNGL July 2012 2013 2. SSGL 2. Hepatitis, MoH (Contract Values Wise) (Count Wise) (Contract Values Wise) 3. EPI Cell, NIH 3. NTDCL

200 300 Contracts Value PKR Contracts Count 180 160 250 Trillions 140 200 120 100 150 80 60 100 40 50 20 - 0 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Contract 1: Calendar Wise Insights Contracts Count Wise January February March April May June July August September October November December Grand Total 2009 9 13 7 16 11 1 8 18 3 86 2010 1 2 4 8 5 35 3 5 9 6 11 89 2011 3 8 15 10 7 15 16 4 4 11 93 2012 41 6 2 13 24 39 39 8 6 14 28 220 2013 12 12 6 34 31 12 32 31 2 10 1 183 2014 14 3 9 4 13 16 5 21 6 9 6 106 2015 17 8 4 18 16 5 35 42 7 7 9 14 182 2016 7 8 8 27 17 8 16 53 14 16 17 9 200 2017 9 6 2 8 29 10 6 6 2 2 80 2018 14 14 4 22 8 33 15 10 26 7 18 171 2019 23 28 48 37 31 14 181 Grand Total 132 98 91 181 166 172 229 185 88 83 83 83 1591

Contracts Amount Wise January February March April May June July August September October November December Grand Total 2009 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.14% 0.01% 0.00% 0.00% 0.01% 0.00% 0.17% 2010 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.23% 0.00% 0.00% 0.00% 0.01% 0.00% 0.24% 2011 0.00% 0.00% 0.00% 0.03% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.16% 0.00% 0.20% 2012 0.15% 0.00% 0.00% 0.00% 3.53% 0.29% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 3.98% 2013 0.00% 0.05% 0.00% 0.14% 0.27% 0.03% 54.73% 0.03% 0.00% 0.00% 0.00% 0.00% 55.25% 2014 0.00% 0.00% 0.00% 0.00% 0.00% 0.01% 0.00% 0.00% 0.05% 0.00% 0.00% 0.00% 0.07% 2015 34.43% 0.00% 0.00% 0.01% 0.00% 0.00% 0.02% 0.07% 0.00% 0.00% 3.96% 0.01% 38.50% 2016 0.00% 0.16% 0.00% 0.95% 0.01% 0.00% 0.04% 0.10% 0.00% 0.07% 0.00% 0.00% 1.33% 2017 0.00% 0.02% 0.00% 0.00% 0.00% 0.01% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.03% 2018 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.04% 0.00% 0.00% 0.05% 2019 0.00% 0.01% 0.00% 0.14% 0.01% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.17% Grand Total 35% 0% 0% 1% 4% 0% 55% 0% 0% 0% 4% 0% 100.00% Contract 1: Top Contracts in Last 10 Years

Year: 2009 Year: 2015 Year: 2015 Description: Hepatitis Vaccine Description: Steel Pipelines Description: Steel Pipelines Sector: Health Sector: Energy Sector: Energy Value: 115 Trillion PKR Value: 108 Trillion PKR Value: 12 Trillion PKR

Year: 2016 Year: 2016 Year: 2016 Description: Steel Pipelines Description: Transmission Line Description: Transmission Line Sector: Energy Sector: Energy Sector: Energy Value: 02 Trillion PKR Value: 180 Billion PKR Value: 178 Billion PKR

Year: 2016 Year: 2016 Year: 2016 Description: Power Plant Description: Power Plant Description: Fusion Pipelines Sector: Energy Sector: Energy Sector: Energy Value: 162 Billion PKR Value: 161 Billion PKR Value: 165 Billion PKR

Year: 2018 Year: 2019 Year: 2013 Description: Transmission Line Description: Transmission Line Description: Hotel Construction Sector: Energy Sector: Energy Sector: Construction/Investment Value: 113 Billion PKR Value: 110 Billion PKR Value: 92 Billion PKR Contract 1: Top Organizations in Last 10 Years

Value: 123 Trillion PKR Value: 115 Trillion PKR Value: 698 Billion PKR Contracts: 81 Contracts: 5 Contracts: 5 Sector: Energy Sector: Health Sector: Energy

Value: 324 Billion PKR Value: 99 Billion PKR Value: 94 Billion PKR Contracts: 02 Contracts: 18 Contracts: 30 Sector: Energy Sector: Invest Sector: ?

Value: 76 Billion PKR Value: 70 Billion PKR Value: 84 Billion PKR Contracts: 74 Contracts: 187 Contracts: 01 Sector: Communication Sector: Energy Sector: Health

Value: 66 Billion PKR Value: 32 Billion PKR Value: 28 Billion PKR Contracts: 314 Contracts: 104 Contracts: 30 Sector: Energy Sector: Communication Sector: Communication Contract 1: Year Wise Top Contracting Companies Value Wise Top 3 (Left to Right) Count Wise Top 3 (Left to Right)

2009 2010 2011

2012

2013

2014 2015 2016 2017 2018

2019 Contract 1: Contract Amount Binning – Count Wise

50.0% 45.0% 40.0% 35.0% 30.0% 25.0% 20.0% 15.0% 10.0% 5.0% 0.0%

Contract Category 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 A:NO_INFORMATION_AVAILABLE 4.65% 3.37% 1.08% 31.36% 8.20% 13.21% 0.00% 2.00% 1.25% 16.37% 6.63% B:BETWEEN 0 - 1K 0.00% 7.87% 6.45% 9.09% 2.73% 5.66% 1.65% 6.50% 3.75% 8.77% 4.97% C:BETWEEN 1K - 10K 0.00% 1.12% 0.00% 0.00% 0.00% 0.00% 0.55% 1.50% 5.00% 0.00% 1.10% E:BETWEEN 100K - 1M 1.16% 0.00% 3.23% 0.00% 0.55% 0.00% 1.10% 0.50% 1.25% 0.00% 0.55% F:BETWEEN 1M - 10M 0.00% 2.25% 1.08% 0.91% 1.64% 1.89% 1.10% 2.00% 6.25% 1.75% 1.10% G:BETWEEN 10M - 100M 15.12% 23.60% 31.18% 16.82% 24.04% 22.64% 34.07% 30.50% 21.25% 29.24% 29.28% H:BETWEEN 100M - 1B 44.19% 52.81% 50.54% 37.27% 51.91% 44.34% 54.95% 43.50% 47.50% 35.67% 45.86% I:BETWEEN 1B - 10B 32.56% 5.62% 4.30% 1.82% 6.01% 10.38% 3.85% 9.50% 10.00% 7.02% 8.29% J:BETWEEN 10B - 100B 1.16% 2.25% 0.00% 1.36% 2.73% 0.94% 1.10% 1.00% 2.50% 0.00% 1.10% L:GREATER THAN 1TRILLION 1.16% 1.12% 2.15% 1.36% 2.19% 0.94% 1.65% 3.00% 0.00% 0.58% 1.10% Contract 1: Civil Estimation Provided

153,771,000 917,118,231 82,418,000

954,872,125

9,034,993,188

22,940,416,600

KARACHI PORT TRUST National Highway Authority I.C.C.B.S Workers Welfare Fund, M/O Labour & Manpower NATIONAL TELECOMMUNICATION CORPORATION(NTC) PMDC - FATA DA North

Only 1.3% of the contracts have provided the Civil Work Estimates. While out of provided estimates Port leading the Civil Work Estimates with 22.9 Billion PKR Contract 1: Estimated Completion Period

35% 30% Duration Category: Count Wise Contracts 30%

25%

20% 16% 15% 15% 11% 10% 10% 9% 6% 5% 3% 1% 0% A: Upto One Week B: Upto One Month C: Upto Three Months D: Upto Six Months E: Upto One Year F: Upto Two Years G: Upto Three Years H: More Than Three I: Not Given Years

50.00% 46.23% 45.00% 40.00% Duration Category: Amount Wise Contracts 35.00%

30.00% 26.89% 25.86% 25.00% 20.00% 15.00% 10.00% 5.00% 0.00% 0.01% 0.57% 0.17% 0.25% 0.02% 0.00% A: Upto One Week B: Upto One Month C: Upto Three Months D: Upto Six Months E: Upto One Year F: Upto Two Years G: Upto Three Years H: More Than Three I: Not Given Years Out of 1,861 documents only 64% of the contracts have provided information about the Estimated Completion Period. While most of the contracts were provided with 1 Year of completion period estimate. Contract 1: Estimated Days Across Organization

PSO/SUPPLY

National Bank of Pakistan

COMSATS Institute of Information Technology, Islamabad

Privatisation Commission

DHA KARACHI

Trading Corporation of Pakistan (Pvt) Ltd. Karachi

CIVIL AVIATION AUTHORITY

KIDCL

NADRA HEADQUARTER, ISB

National Highway Authority

Sui Northern Gas Pipelines Ltd

Federal EPI Cell, NIH

Sui Southern Gas Company Ltd.

PAKISTAN PETROLEUM LIMITED

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

A: Upto One Week B: Upto One Month C: Upto Three Months D: Upto Six Months E: Upto One Year F: Upto Two Years G: Upto Three Years H: More Than Three Years I: Not Given Contract 1: Inclusion in Annual Procurement Plan

EOBI

NTDCL

PSO/SUPPLY

National Bank of Pakistan

COMSATS Institute of Information Technology, Islamabad

Privatisation Commission

DHA KARACHI

Trading Corporation of Pakistan (Pvt) Ltd. Karachi

CIVIL AVIATION AUTHORITY

KIDCL

NADRA HEADQUARTER, ISB

National Highway Authority

Sui Northern Gas Pipelines Ltd

Federal EPI Cell, NIH

Sui Southern Gas Company Ltd.

PAKISTAN PETROLEUM LIMITED

0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% 90.00% 100.00% No Not Applicable Not given Yes Contract 1: Title of Contract Analysis

Title of Contract Description of Contracts Contract 2 Summary

Avg. Bidders Present at Bidders Ranking Provided Bidder Name was Pronounced Opening Successful Bidder Info Extension on Request 4 96% 87% 88% 17%

Evaluation Reports Shared Complaints Received Specification Deviation Number of Documents Unique Organizations 44% 3% 1% 1,861 88

st Lowest Evaluation Report 1 Ranking of Bidder Most Complaints Rcvd. Award Pricing Ranking Providers Most Deviations 1. Trading Corporation KHI 1. Pakistan Petroleum 1. NIH 1. Pakistan Petroleum 2. National Highway 2. SNGPL 2. NHA 2. Comsats Authority 86% 3. NTDCL 3. Pakistan Air Lines 3. EOBI 3.

200 300 Contracts Value PKR Contracts Count 180 160 250 Trillions 140 200 120 100 150 80 60 100 40 50 20 - 0 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Contract 2 : Number of Bidders Present at Opening

400 DHA KARACHI 10.35 350 CIVIL AVIATION AUTHORITY 2.46

300 NADRA HEADQUARTER, ISB 8.80

National Highway Authority 250 7.67

Sui Northern Gas Pipelines Ltd 4.24 200 National Institute of Health 1.95

150 Sui Southern Gas Company Ltd. 4.06

2.77 100 PAKISTAN PETROLEUM LIMITED

50

0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 24 25 29 31 Contract 2 : Bidder at Opening vs Volume

7.00

6.00

5.00

4.00

3.00

2.00

1.00

0.00

Its quite clear from the above graph that there exists a direct correlation between increase in Tender value there is an increase in number of Tender Applicants presence during tender opening. Contract 2: Organizations Contract Extension Requests Trend

National Bank of Pakistan A:NO_INFORMATION_ AVAILABLE NTDCL 40% L:GREATER THAN 35% EOBI B:BETWEEN 0 - 1K 1TRILLION 30% COMSATS Institute of Information Technology, Islamabad 25% 20% Trading Corporation of Pakistan (Pvt) Ltd. Karachi J:BETWEEN 10B - 100B 15% C:BETWEEN 1K - 10K 10% KIDCL 5% 0% Privatisation Commission

DHA KARACHI I:BETWEEN 1B - 10B E:BETWEEN 100K - 1M

CIVIL AVIATION AUTHORITY

NADRA HEADQUARTER, ISB H:BETWEEN 100M - 1B F:BETWEEN 1M - 10M National Highway Authority G:BETWEEN 10M - Sui Northern Gas Pipelines Ltd 100M

EPI Cell NIH

Sui Southern Gas Company Ltd.

PAKISTAN PETROLEUM LIMITED

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% Contract 2: Most Bid Winners

60

50 48

40

30

20

10 7 6 5 5 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

0 Contract 2: Bidders who won Cross Organization Bids

Few Organizations Found to be bidding in multiple organizations.

Nadra PSO

SNGPL NHA Trading Corp Karachi

Pakistan Petroleum Limited Sui Southern Company

National Bank EPI Cell NIH

https://public.flourish.studio/visualisation/3640704/ ` Contract 2: Contracts Need Analysis Awards Summary Published in News Top News Papers Most Used Combo Local Purchase INTL Purchase

Jang Nation and 73% Dawn 60% 25% News Nawae Waqt

Extension in Date Avg. Doc Sold Per Bid Single Stage Tenders Two Stage Tenders Qualification Mentioned 21% 11 74% 13% 78%

Evaluation Mentioned Avg. Bid Rec/Tender Lowest Bidder Criteria Integrity Pact Signed Top Org. Value Wise

1. SNGL 2. Hepatitis, MoH 61% 5 87% 89% 3. NTDCL

200 300 Contracts Value PKR Contracts Count 180 160 250 Trillions 140 200 120 100 150 80 60 100 40 50 20 - 0 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Planning Documents Unique Documents Unique Organizations Items Planned Unique Items Planned Procurement Date Given 1,618 500 85,000 44,000 40%

Purchase Date Given Moat Planning Year Planned Cost Most Planned Top Bidding Method Furniture Competitive 2016-2017 3.6 Trillion 45% Fixtures Bidding

3,000 Most Planned Items in Last Ten Years 2,500

2,000

1,500

1,000

500

0 Organizations Who Planned most of the Items

Ranking: 1 Ranking: 2 Ranking: 3 Ranking: 4 Items: 18,654 Items: 10,344 Items: 6,554 Items: 6,554 Percentage: 21% Percentage: 12% Percentage: 7.64% Percentage: 7.64%

Ranking: 5 Ranking: 6 Ranking: 7 Ranking: 8 Items: 3,770 CSF Items: 2,352 Items: 1,401 Items: 1,192 Percentage: 5.20% Percentage: 2.74% Percentage: 1.63% Percentage: 1.48%

Ranking: 9 Ranking: 10 Ranking: 11 Ranking: 12 Items: 1,188 Items: 1,034 Items: 967 Items: 743 Percentage: 1.39% Percentage: 1.39% Percentage: 1.63% Percentage: 1.13%

Ranking: 13 Ranking: 14 Items: 646 Items: 628 Percentage: 1% Percentage: 0.73% What was Planned by Top Organizations Pakistan Steel Mil National Savings What was Planned by Top Organizations Pakistan State Oil Pakistan Railway Most Planning Months Trend: Items Wise

35,000

30,000

25,000

20,000

15,000

10,000

5,000

- January February March April May June July August September October November December

Trend: Organizations Wise 1,400

1,200

1,000

800

600

400

200

0 January February March April May June July August September October November December Evaluation Documents & Top Bidders Documents Unique Organizations Avg Bids Received/Con. Lowest Bidders INTL Purchase 25,368 504 4 15,543 25%

Most Lowest Bidders in Contracts Cross Organizational Bidders 50

45 Bidders Who were found bidding across multiple organizations. 40

35

30

25

20

15

10

5

0 Gemco NESPAK Makkays Mega Plus Techaccess MM TradersMM New Horizon SM Jaffer& co Shirazi Trading Riz Technology EY Ford Rhodes CNS Engineering Margalla Traders Jamal & Brothers Mansha Brothers Ascent Industries Vital International Waqas Enterprises PREMIER SYSTEMS AFS Traders Multan Silicon Technologies Atique Traders Karachi Malik Sons Gujranwala Sadiq Impex Islamabad KPMG Taseer Hadi Co & National Testing Service PAKISTAN TRADERS FSD Allied Computer Services Office Automation Group Allied Computer Services,… Kontinental Establishment Madina Traders Faisalabad Zam ZamZam Enterprises Multan PASBAN TRADERS GUJRANWALA Top 3 Bidders Across Leading Procuring Agencies

1. Haseeb Habib Trd LTD 1. AFS Traders 1. N&M Implex Co. 1. Rehmad Ali Carriage Contc. 2. Sign Word 2. Habib Enterprise Wah 2. MAQ Corporation 2. Pyramid GAS PVT LTD 3. Greaves PVT LTD 3. Skyline Traders Lahore 3. Adil & CO 3. Capital Logistic Services 4. Tahir Engineers 4. Pasban Traders 4. MUSK PVT LTD 4. Ayan Energy Limited

1. One Fort Co. LTD 1. SM Jaffer and CO 1. SM Jaffer and CO 1. TMNN Corporation 2. IM CO Limited 2. SPS PVT Limited 2. BG Civil,Electrical CO 2. FYN Associates 3. Five Star Limited 3. RA Traders 3. SA Enterprises 3. RS Corporation 4. KYODO LImited 4. Power Seal PVT 4. Gulam Mustaf & CO 4. MK Engineering

1. Umar Tech ISB 1. Quick Process 1. Riz Tech Karachi 1. KS Traders 2. SKS Traders RWP 2. Qureshi Enterprise 2. Jawad Enterprise 2. AM Associates 3. Hameed Sons 3. Pak Engineers 3. Tariq Enterprise 3. Lifting Equipment 4. Sultan Enterprise 4. Jewajee Enterprise 4. Shirazi Trading 4. New Age Cables

1. PSO 1. ZD Enterprise 1. HR & CO 1. Zheijan Steel China 2. Descon Eng Lahore 2. Electro Systems 2. Lawaghar & CO 2. Sieyan Electric China 3. M Afzal Khokar KHI 3. Ali Associates 3. Wajid Iqbal & CO 3. Al Hussain Traders 4. Shell Pakistan LTD 4. Greaves PVT LTD 4. Rakhshani Builders 4. Conspak Lahore Tenders Summary Total Contracts Top Tendering Years Top Tendering Month Avg Daily Tenders Unique Organizations 2016 255 K 2017 January 50 2500 2018

Procurement Method Estimated Cost Provided Preferred Bid Opening Top Organizations Top Cities Tender Wise Provided 1. SNGPL 1. Islamabad 2. PPWD 2. Karachi 11AM-12 PM 3. CDA 3. Lahore 27% 14% 4. Wapda 4. Peshawar

Performance Securityy Avg Days for Bid Bid Security Amount Given Preferred Bid Closing Amount Given Submission Top Org. Count Wise 1. SNGL 10 AM - 12 PM 2. Hepatitis, MoH 2% 4% 89 3. NTDCL

30,000 40,000 25,000 35,000 30,000 20,000 25,000 15,000 20,000 10,000 15,000 5,000 10,000 0 5,000 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Procurement Sector Distribution Year Wise Procurement Needs (Summation Column Wise) Procurement Category 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Civil Works 15.39% 12.40% 11.90% 21.67% 16.55% 28.31% 27.32% 33.20% 37.46% 20.47% 14.46% 17.62% 17.00% 19.99% 18.25% 16.71% Miscellaneous 12.76% 11.92% 11.14% 15.49% 11.99% 11.61% 12.85% 11.66% 13.81% 18.94% 18.88% 16.20% 16.13% 14.90% 13.97% 14.33% Repair/Maintenance 11.35% 9.35% 8.75% 15.93% 11.95% 10.08% 7.70% 10.63% 8.39% 11.14% 11.39% 13.60% 15.26% 16.38% 21.41% 21.57% Services 6.83% 6.90% 6.21% 3.72% 6.60% 6.35% 7.67% 7.11% 6.82% 9.23% 9.94% 9.91% 11.30% 10.73% 11.13% 11.97% Electrical Items 10.07% 11.11% 11.58% 9.91% 9.93% 8.58% 8.41% 7.61% 6.63% 8.08% 9.42% 8.77% 7.10% 7.49% 6.75% 6.13% Mechanical/Machinery 9.42% 9.70% 12.70% 8.55% 9.53% 6.11% 5.19% 4.57% 4.36% 4.79% 6.91% 5.83% 4.75% 4.98% 5.08% 4.70% Info and Comm Tech 7.21% 7.20% 6.37% 3.00% 5.42% 4.56% 4.89% 3.62% 2.38% 2.96% 3.30% 3.48% 3.10% 3.07% 2.80% 3.24% Appliances/Equipment's 3.81% 4.75% 4.86% 3.28% 3.65% 3.44% 3.61% 2.64% 2.79% 3.28% 3.15% 3.39% 3.37% 2.78% 2.57% 3.33% Civil Goods 4.99% 5.14% 5.75% 6.64% 5.07% 4.20% 2.72% 2.17% 1.79% 1.91% 2.41% 2.35% 2.24% 2.23% 2.11% 1.66% Stationery 2.10% 2.15% 2.22% 1.72% 2.71% 1.91% 3.77% 2.02% 1.74% 3.11% 3.00% 2.24% 3.86% 2.60% 2.46% 2.86% Environmental 1.37% 1.79% 1.51% 1.40% 1.39% 1.88% 2.21% 1.94% 2.08% 2.74% 2.53% 2.48% 2.34% 2.27% 2.31% 2.00% Vehicles 3.42% 3.81% 3.46% 2.07% 2.40% 1.54% 2.03% 1.89% 2.14% 2.47% 2.35% 2.64% 2.11% 1.68% 1.42% 1.46% Furniture/Fixture 1.71% 2.37% 2.83% 1.23% 2.20% 2.22% 2.25% 1.41% 1.30% 1.60% 2.16% 2.24% 2.41% 2.62% 2.61% 2.30% Chemical Items 2.08% 2.37% 1.99% 1.80% 1.67% 1.27% 1.44% 1.42% 1.49% 1.37% 0.93% 1.06% 1.07% 0.98% 0.78% 1.41% Energy 1.20% 2.28% 1.79% 0.88% 2.25% 1.47% 1.10% 1.06% 0.91% 1.43% 1.26% 1.36% 1.15% 1.11% 0.80% 0.77% Consumable items 0.84% 0.99% 0.56% 0.57% 1.19% 1.08% 0.75% 0.77% 0.76% 0.79% 2.26% 0.82% 1.24% 0.91% 0.95% 0.75% Health/Medicines 0.98% 1.14% 0.91% 0.27% 0.89% 1.20% 1.29% 1.33% 0.92% 1.01% 0.93% 1.28% 0.83% 1.17% 0.63% 0.83% Printing 1.24% 1.40% 2.47% 0.61% 1.11% 0.96% 1.08% 1.36% 0.77% 0.79% 0.81% 0.86% 0.74% 0.65% 0.60% 0.65% Food Items 0.65% 0.52% 0.52% 0.27% 0.73% 0.73% 0.98% 0.82% 1.30% 1.00% 1.00% 1.05% 1.02% 0.96% 0.74% 0.64% Clothing/Uniform 0.94% 0.91% 0.79% 0.34% 1.23% 0.97% 1.18% 0.74% 0.75% 0.93% 0.97% 1.07% 0.93% 0.71% 0.74% 0.75% Lubricants/Oils 1.06% 0.84% 1.06% 0.43% 0.87% 0.94% 0.73% 0.80% 0.70% 0.87% 0.92% 0.64% 0.73% 0.74% 0.75% 0.71% Auction 0.22% 0.42% 0.16% 0.00% 0.09% 0.09% 0.22% 0.51% 0.28% 0.44% 0.41% 0.54% 0.65% 0.41% 0.44% 0.52% Ammunition 0.08% 0.05% 0.05% 0.04% 0.08% 0.09% 0.13% 0.23% 0.15% 0.20% 0.18% 0.14% 0.19% 0.21% 0.24% 0.21% Research & Development 0.10% 0.14% 0.10% 0.03% 0.10% 0.10% 0.18% 0.15% 0.04% 0.09% 0.14% 0.12% 0.10% 0.12% 0.14% 0.12% Property 0.02% 0.04% 0.02% 0.00% 0.00% 0.13% 0.12% 0.09% 0.01% 0.10% 0.07% 0.12% 0.16% 0.10% 0.13% 0.13% Books/Literature 0.08% 0.09% 0.09% 0.04% 0.12% 0.08% 0.05% 0.07% 0.08% 0.07% 0.07% 0.07% 0.06% 0.07% 0.06% 0.08% Leasing 0.06% 0.13% 0.07% 0.06% 0.17% 0.06% 0.08% 0.07% 0.06% 0.07% 0.08% 0.06% 0.06% 0.06% 0.05% 0.08% Mining 0.00% 0.00% 0.07% 0.01% 0.02% 0.01% 0.02% 0.01% 0.01% 0.02% 0.02% 0.01% 0.02% 0.01% 0.02% 0.02% Days for Bid Submission

60% In 4% of the Tenders, Only 1 Week of the Bid Submission Time was Given to Vendors. List for 50% most Organization with Less than One Week for Bid Submission Provided Below 40%

30%

20%

10%

0% A: LESS THAN ONE WEEK B: LESS THAN TWO WEEKS C: LESS THAN ONE MONTH D: LESS THAN 3 MONTHS E: MORE THAN 3 MONTHS

900 856 800 718 700 600 523 500 400 300 149 200 139 133 112 108 107 106 92 92 92 89 73 100 0