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Publication Date: 2017-Jun-29
Document File: 4 page(s) / 652K

Publishing Venue

The Prior Art Database


A method for analyzing and prioritizing responses to a Request for Proposal (RFP) is disclosed.

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Disclosed is a method for analyzing and prioritizing responses to a Request for Proposal (RFP).

In government and private sector, organizations often issue Requests for Proposal (RFPs). An RFP is a solicitation, often made through a bidding process, by an agency or company interested in procurement of a commodity, service or valuable asset, to potential suppliers to submit business proposals. In many instances, the responses are numerous. The selection process - as well as the submissions – can be complex.

When dozens or hundreds of RFP responses are received that contain complex unstructured data, usage of cognitive computing technology can provide an automated rapid, accurate and insightful first pass of the responses to select a quality subset for a more thorough review by a human team.

The following may be performed utilizing cognitive computing technology: 1. SELECT AND EJECT: Ejection of non-compliant submissions early. This permits

companies and agencies to spend their time more wisely. That is, to focus more resources on a higher quality subset of candidates.

2. FLAG AREAS OF CONCERN: Identify deficiencies in responses. The flagged areas emphasize focus items for review team. In many cases, the agencies may request supplemental information to facilitate handling of otherwise appropriate submissions.

3. MANAGE RISK: Provide an independent, objective measure of submissions. This approach reduces bias and risk in selection process. This approach also increases transparency and accountability. The process creates a natural audit trail from the data byproducts created during analysis (if desired).

4. VISUALIZE & INTERPRET: Provide visualizations to help teams better comprehend massive amounts of information. The method helps to create shared mental models and assist with organizational alignment in the assessing agencies. The approach may also provide a visual representation of each submission. The visualization may provide comparisons between submissions either side-by-side or in aggregate.

Primary Use Case Scenario triaging responses to RFPs.

The US Department of Defense has issued an RFP for private security firm to provide base security supplemental services at an overseas military base. In this example the RFP requirements include, but are not limited to the following four examples: A. Prior Contacts/Experience (skills, sufficient time, size of team, overseas / regional

exp.) B. Pricing and costing in line with RFP. Clear description of overtime/flextime. C. Security authorizations and credentials – including federal contractor number.


D. Equal Opportunity employer (EOE) – (race, religion, gender, Americans with Disabilities Act (ADA) – including active programs (which should be described) to support the EOE and workplace policies demanded in RFP)

In th...