According to FAR Part 10, acquisitions begin with a description of the Government’s needs stated in terms sufficient to allow conduct of market research. Market research is then conducted to determine if commercial products, commercial services, or nondevelopmental items are available to meet the Government’s needs or could be modified to meet the Government’s needs.

"Acquisition officials within federal government agencies frequently employ incomplete and unsystematic methods when seeking qualified contractors. This includes identifying vendors at the forefront of innovation and those owned by socially and economically disadvantaged individuals for government solicitations. Despite the availability of information about these vendors, it is often dispersed across disparate systems that lack integration. To enhance the efficiency and effectiveness of the identification process for capable and innovative vendors, acquisition officials need a systematic mechanism that has linked data from multiple federal acquisition systems and uses traditional artificial intelligence (AI). AcquisitionAI enables the seamless utilization of multiple federal acquisition data sources to facilitate timely decision-making. AcquisitionAI utilizes multiple traditional AI methods, including robotic process automation (RPA), machine learning (ML), and national language processing (NLP), which is trained using historical data and agency-specific information on government procurement. The primary objective of this innovative tool is to assist government agencies in identifying whether prospective vendors offer needed products and/or services and have the capabilities to meet specific, often intricate and technically challenging, procurement requirements. By leveraging these sophisticated processes acquisition officials can streamline their decision-making processes and shorten the Procurement Administrative Lead Time (PALT). "

AcquisitionAI uses data from multiple Federal acquisition data systems and vendors' capability statements, including Federal Procurement Data System, System for Awards Management, Dynamic Small Business Search, GSA Supplier Base Database, General Services Administration Multiple Award Schedules and GWACs, NASA SEWP, and NIH NITAAC.

The information presented in these market analysis reports have been generated using artificial intelligence algorithms and publicly available information. AcquisitionAI strives to provide accurate and reliable insights, it cannot guarantee the absolute accuracy or completeness of the data. Users are advised to independently verify the information and exercise their own judgment when making decisions based on the reports generated by AcquisitionAI. The platform should be used as a tool to aid decision-making, and any actions taken based on the information provided are the sole responsibility of the user. AcquisitionAI and its developers shall not be held liable for any consequences arising from the use of this platform or reliance on the generated reports. The information found in the market analysis reports may be used to support acquisition decisions. Further market research and vendor engagement may be necessary. GenerativeAI was not used to create the information found in these reports

A sandbox environment utilized by government customers serves as a controlled testing space for evaluating the integrity and reliability of AcquisitionAI, a novel AI application designed to streamline market research for federal government agencies. This environment allows users to simulate real-world scenarios without impacting live systems, ensuring that the AI application performs as intended and meets specified requirements before deployment in actual operational settings. The Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence emphasizes the importance of testing and validating AI systems to ensure their reliability, safety, and effectiveness. By using a sandbox environment, government customers can comply with this order by conducting thorough assessments of AcquisitionAI to verify its performance, security, and ethical considerations before widespread implementation.

Briefly describe what is being acquired. Include a description of services or a general description of products being acquired.

"List any market research conducted to include: Requests for Information (RFIs) / Sources Sought notices; Individual correspondence with potential sources; Industry days; Discussions with other buyers for similar services. Provide dates, responses, and summary/outcome of correspondence. If a company expressed interest that was determined not to be capable of fulfilling the requirements, be sure to clearly detail why the source was not determined to be capable of meeting the requirements."

List of potential vendors and known sources of supply that could be solicited to provide the service required.  Include location, point of contact information and an assessment of their potential capabilities to meet our requirements.  Conduct an assessment of each potential supplier’s capacity to meet our requirements in terms of known schedule needs.  Identify as appropriate any past experience or related experience relative to the service which may be used to identify potential acquisition risks.  Identify the number of sources contacted; identify whether they were large business, small business, small/disadvantaged business, Section 8A business, woman-owned business, government/non-government.  Summarize the information obtained from each source contacted.

Summarize your data analysis with recommendations for: - Acquisition strategies to pursue (i.e. Small business set aside, full & open, socioeconomic set aside) - List of potential contract vehicles that already exist which may be employed to satisfy your requirement - Relevant risks to be considered as part of any source selection activities for specific contract terms and conditions.

Read the GSA MAS Ordering Guide for helpful instructions on how to use GSA MAS.