This dataset captures procurement operations for a global enterprise, anonymized to protect company and supplier identities. It includes 700 real-world purchase orders from 2022–2023, reflecting challenges like supplier delays, compliance gaps, and defects. Ideal for analyzing supply chain efficiency, cost optimization, and vendor performance.

Key Features: - Supplier Diversity: 5 suppliers with varying reliability and compliance rates. - Real-World Complexity: Missing delivery dates, partial orders, and outliers. - Price Trends: Reflects inflationary pressures over time. - Actionable KPIs: Built-in metrics for cost savings, defect rates, and on-time delivery.

Use Cases: - Supplier Risk Analysis: Identify high-risk vendors (e.g., frequent defects or delays). - Cost Optimization: Quantify savings from price negotiations. - Compliance Audits: Investigate policy violations and their root causes. - Trend Forecasting: Analyze price changes over time.

Sample purchasing data containing information on suppliers, the products they provide, and the projects those products are used for. Data created or adapted from publicly available sources.

Learn how to elevate your strategic sourcing and gain valuable insights into industries across your entire supply chain.

• Dataset Title: Company Purchasing Dataset
• Rows: 500 | Columns: 9
• Domain: Supply Chain, Procurement, Finance
• Use Case: Spend Analytics, Supplier Performance, Cost Optimization

This synthetic dataset simulates procurement transactions for a mid-sized organization over 2024. It includes purchases across multiple categories (electronics, furniture, stationery, etc.) from various suppliers and buyers. Ideal for practicing descriptive analytics, spend analysis, and supplier performance evaluation.

This statistic displays the various applications of data analytics and mining across procurement processes, according to chief procurement officers (CPOs) worldwide, as of 2017. Fifty-seven percent of the CPOs asked agreed that data analytics and mining had been applied to intelligent and advanced analytics for negotiations, and ** percent of them indicated data analytics and mining had been applied to supplier portfolio optimization processes.

The San Francisco Controller's Office maintains a database of purchasing activity from fiscal year 2007 forward. This data is presented on the Purchasing Commodity Data report in CSV format, and represents detailed commodity-level data by purchase order. Additional lines have been added to this dataset to reconcile some document totals from the City's purchasing system to the totals from the City's accounting system in cases when the two amounts are different, which sometimes occurs due to adjustments entered into the accounting system but not the purchasing system. Sensitive information is removed from this data – this is intended to show payments made to entities providing goods and services to the City and County and to protect individuals. Supplier payments represent payments to City contractors and vendors that provide goods and/or services to the City. Certain other non-supplier payee payments, which are made to parties other than traditional City contractors and vendors, are also included in this dataset, These include payments made for tax and fee refunds, rebates, settlements, etc.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes procurement contracts data. The dataset consists of procurement contracts data reported by State Authorities that covers 8 fiscal years,which includes fiscal years ending in the most recently completed calendar year. Authorities are required to report procurement transactions that have an actual, estimated, or cumulative value of $5,000 or more, annually.

During a 2020 survey, over ********* of supply chain leadership members stated that their company uses mostly contract rate procurements to facilitate business relations. Spot and contract rates are two of the possible types of exchange agreement between parties to settle and pay for a service. The spot rate is a procurement rate determined at the time of purchase mostly for transactions in *** days. On the other hand, a contract rate, also known as a futures contract, settles an exchange between parties now at a rate for a future transaction.

Digital procurement is going to play a key role in big consumer goods companies. According to a worldiwide survey, ** percent of respondents will give priority to data analytics, whereas ** percent of procurement professionals expect to implement source-to-contract processes by 2027. This will streamline supplier selection and contract signing.

The San Francisco Controller's Office maintains a database of contracts and payments made to Suppliers (vendors, contractors and grantees). The Supplier Contracts shown here include all fully executed, expenditure-only contracts, including City contracts for commodities, professional and general services, and construction from fiscal year 2018 forward, based upon the contracting departments' inputs. This data set includes both departmental and citywide contracts. This data is presented on the Supplier Contracts report hosted at http://openbook.sfgov.org, and is also available in CSV format, which lists summary data by contract. We have removed sensitive contracts and information from this data in order to balance disclosure requirements and protected/confidential data. For example, we have removed contracts related to certain legal proceedings that are exempt from disclosure. New data is added on a weekly basis. Revenue contracts, including concessions and rental income contracts, are not included in this data set; they are tracked in departmental subsystems and currently are not available in SF Open Book. For more information about Revenue Contracts, please contact the respective City Department that awards the contract, e.g. for Airport Concession Contracts, contact the San Francisco Airport Commission which maintains these records. City Department spending may occur three ways: 1) from Contract to Purchase Order (i.e. a PO with an accounting Encumbrance) to Payment (i.e. an accounting Voucher), AKA On-Contract spending, 2) direct-to-Purchase Order (no contract, only a PO agreement and accounting Encumbrance) to Payment, and 3) Direct Voucher Payment (for limited one-time, non-recurring payments, e.g. a membership or a subscription). Therefore, it is helpful to use both the Supplier Contracts and Supplier Payments reports on SFOpenBook, as well as on DataSF. The data included in the Supplier Contracts dataset reflects supplier expenditure contracts that were awarded by City Departments after 7/1/2017, the date the City & County of San Francisco implemented the PeopleSoft Financial & Procurement System, as well as the remaining not-to-exceed contract authority for all supplier expenditure contracts that were still active along with their associated purchase order (PO) available, unexpended balances as of 7/1/2017. For partially used contract authority, the Contract Award Amount only includes the portion that was unutilized and available as of 7/1/2017, unless the Contract Award Amount was updated by the department after July 1, 2017. Contracts that were expired before 7/1/2017 as well as contracts that had no remaining contracting authority from which to issue new purchase orders were not converted or loaded into PeopleSoft. For information requests regarding the latter as well as for the portion of contract of authority used prior to 7/1/2017 for otherwise unexpired contract balances that were converted and still active as of 7/1/2017, please contact the City department(s) that issued the contract.

Supplier Data Management Market Outlook

According to our latest research, the global Supplier Data Management market size reached USD 3.21 billion in 2024, reflecting robust industry adoption and digital transformation across supply chains. The market is expected to grow at a compelling CAGR of 11.8% from 2025 to 2033, with the total market value forecasted to reach USD 8.94 billion by 2033. This growth is primarily driven by increasing regulatory compliance demands, a rising need for risk mitigation, and the growing complexity of global supplier networks.

The expansion of the Supplier Data Management market is being propelled by the rapid digitalization of procurement and supply chain processes worldwide. Organizations are increasingly recognizing the value of centralized and accurate supplier data to drive operational efficiency, reduce costs, and support strategic sourcing initiatives. As procurement ecosystems become more interconnected and globalized, managing supplier information effectively has become a critical business function. The integration of advanced technologies such as artificial intelligence (AI), machine learning, and blockchain into supplier data management solutions is further enhancing data accuracy, automating workflows, and providing actionable insights, which collectively contribute to the marketÂ’s accelerated growth trajectory.

Another significant growth factor is the heightened focus on risk and compliance management in supplier relationships. Regulatory frameworks such as GDPR, CCPA, and various industry-specific standards are compelling organizations to maintain up-to-date, auditable supplier records. Supplier Data Management solutions enable businesses to track supplier compliance, monitor performance, and identify potential risks proactively. The increasing frequency of supply chain disruptions, whether due to geopolitical tensions, pandemics, or natural disasters, has underscored the importance of resilient and transparent supplier networks. As a result, companies are investing heavily in robust supplier data management platforms to ensure business continuity and minimize exposure to regulatory and operational risks.

Supplier Performance Management is becoming increasingly vital as organizations aim to enhance their supply chain resilience and competitiveness. By systematically evaluating supplier performance, companies can identify areas for improvement, foster stronger supplier relationships, and drive continuous improvement across their supply chains. This process not only helps in mitigating risks associated with supplier reliability and quality but also supports strategic sourcing decisions. As the global market becomes more interconnected, the ability to manage and optimize supplier performance is emerging as a critical differentiator for businesses looking to maintain a competitive edge.

Cloud adoption is another pivotal factor fueling the growth of the Supplier Data Management market. Cloud-based solutions offer scalability, flexibility, and real-time data access, making them especially attractive to enterprises managing complex, multi-regional supplier ecosystems. The shift towards cloud deployment is enabling organizations to break down data silos, facilitate collaboration across departments and geographies, and leverage advanced analytics for strategic decision-making. Small and medium enterprises (SMEs) are also benefitting from the lower upfront costs and ease of implementation associated with cloud-based supplier data management platforms, further expanding the marketÂ’s addressable base.

From a regional perspective, North America continues to dominate the market, driven by the presence of major technology providers and early adoption among large enterprises. However, the Asia Pacific region is witnessing the fastest growth, underpinned by rapid industrialization, expanding manufacturing sectors, and the increasing adoption of digital supply chain solutions in countries such as China, India, and Japan. Europe is also experiencing steady growth, propelled by stringent regulatory requirements and a strong emphasis on supplier transparency and sustainability. Meanwhile, regions such as Latin America and the Middle East & Africa are gradually catching up as organizations in these markets prioritize digital transformation and risk management in their supply chains.

Procurement Analytics Market size was valued at USD 4.85 Billion in 2024 and is projected to reach USD 25.18 Billion by 2031, growing at a CAGR of 25.21% during the forecast period 2024-2031.

Global Procurement Analytics Market Drivers

Data-Driven Decision Making: Businesses are realizing the value of data-driven decision-making procedures in a variety of departments, including purchasing. With the help of insights from data analysis, procurement analytics helps businesses reduce risks, find cost-saving possibilities, streamline their purchasing procedures, and enhance overall procurement performance.

Growing Complexity and Globalization of Supply Chains: As supply chains becoming more intricate and international, businesses must deal with issues including risk reduction, supplier management, and regulatory compliance. Advanced capabilities to track supply chain interruptions, analyze supplier performance, and optimize sourcing strategies across several geographies and suppliers are provided by procurement analytics solutions.

Demand for Cost Reduction and Efficiency Improvement: Companies are under pressure to lower costs and boost operational efficiency in the cutthroat business world of today. Through spend analysis, supplier consolidation, contract optimization, and demand forecasting, procurement analytics helps businesses find cost-saving options that eventually result in bottom-line benefits.

Success.ai’s Global Supply Chain Dataset delivers verified contact data across sourcing, procurement, logistics, warehouse management, and operations. Built for sales and marketing teams targeting supply chain decision-makers across retail, manufacturing, consumer goods, and e-commerce sectors.
Get up-to-date insights into professionals leading cross-border logistics, ERP implementation, vendor evaluation, and operational optimization.

Why Use Success.ai for Supply Chain Data?
- Functional Accuracy: Built by role and job title—not just industry.
- Global Scope: USA, EU, MENA, APAC, LATAM all represented.
- Data for Strategy, Sales & Recruitment

Data Points Include:
- Contact name, role, seniority
- Work email, phone (when available)
- Company name, location, size
- Industry & sub-sector (e.g. FMCG, Automotive, Pharma)
- LinkedIn profile URLs

Use Cases:
- ERP, SCM & Logistics Software Sales
- Vendor Targeting in Procurement
- Manufacturing & Retail Supply Chain Expansion
- Market Mapping for Operations Intelligence
- Executive Recruiting

Industries Served:
- Manufacturing
- Consumer Goods
- Retail & E-commerce
- Automotive
- Pharmaceuticals

Why Success.ai?
- Best Price Guarantee
- Filters by Role, Seniority, Industry, Country
- API or Flatfile Delivery
- Custom Data Enrichment Available

Retail Sourcing And Procurement Software Market size was valued at USD 4.18 Billion in 2024 and is projected to reach USD 11.83 Billion by 2032, growing at a CAGR of 13.65% during the forecast period 2026-2032.Cost Efficiency and Margin Improvement: For retailers, every penny saved in sourcing directly impacts the bottom line. This intense focus on cost efficiency and margin improvement is a primary driver for the adoption of sourcing and procurement software. These solutions provide powerful tools for spend analysis, allowing retailers to track and analyze expenditures across categories, identify opportunities for savings, and eliminate rogue spending. By automating tasks like invoice processing and purchase order management, the software reduces administrative costs and human error. Furthermore, data-driven insights from the software empower procurement teams to negotiate better terms, leverage volume discounts, and secure more favorable contracts with suppliers, directly contributing to higher profit margins.Increased Supply Chain Complexity: The modern retail supply chain is more complex than ever before, with global networks, diverse product lines, and multi-channel fulfillment. This increased supply chain complexity necessitates a more sophisticated approach to procurement. Sourcing and procurement software addresses this by providing enhanced visibility and control over the entire supply chain. Retailers can use these tools to track shipments in real-time, monitor supplier performance against key metrics, and proactively identify and mitigate risks. This level of oversight is crucial for navigating global trade challenges, customs regulations, and potential disruptions, ensuring a more resilient and streamlined procurement process.

The Federal Procurement Data System houses Federal contract information where a contract's value is expected to exceed the micro-purchase threshold.

Aggregated data from the AusTender contract system about Australian Government contracts and procurement statistics.

Below is the 2008/09 to 2011/12 aggregated data which contains the proportion of different contract types split by different categories including Defence vs non-Defence, overseas vs locally sourced and SME vs non-SME for each financial year,

The report covers Global Retail Sourcing & Procurement Companies and the market can be segmented by Deployment Type (On-Premise, Cloud), Solution Type (Strategic sourcing, Supplier management, Contract management, Procure-to-pay, Spend analysis), and Geography.

It is a service that provides public procurement statistical information to identify the overall scale of public procurement by collecting electronic contract information and non-electronic contract information concluded in 24 electronic procurement systems, including Nara Market. Search conditions are set by base year and base year and month range. Overall procurement performance, status by contract method, regional restriction status, procurement status by organization type, procurement status by company type, procurement status by contract method, performance by company type by demand organization, performance by business object by demand organization, performance by system type by demand organization, You can view performance by contract method by procurement company, performance by business target by procurement company, and performance by item and service by each type.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes procurement contracts data. The dataset consists of procurement contracts data reported by Local Authorities that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year. Authorities are required to report procurement transactions that have an actual, estimated, or cumulative value of $5,000 or more, annually.

The purpose of this site is to allow public access to the City's procurement contracts. These contracts represent a diverse list of resources required by Tempe to support the community's needs including equipment, vehicles, products, materials and services. Click on Open or double arrow to enter full screen mode.In line with the City's strong commitment to transparency and Smart City initiatives, we are pleased to make this information available in this accessible format.A user guide may be viewed by clicking here. Additional InformationSource: The original data source originates from the City of Tempe's Purchasing Contracts document storage and the purchasing contract financials application.Contact (author): Contact E-Mail (author): Contact (maintainer): Michael Greene, Procurement AdministrationContact E-Mail (maintainer): michael_greene@tempe.govData Source Type: Data Source Types are: Sql Server, Oracle and pdf file storage.Preparation Method: Data is extracted using a programmatic automation process that pulls data from the defined sources at regular time intervals.Publish Frequency: Once per week.Publish Method: Automatic via developed automation process.Data Dictionary