2451100
Project Grant
Overview
Grant Description
SBIR Phase I: Scalable AI-enabled automated pricing tool for service industries
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is to empower organizations that are exposed to dynamic pricing? Such as in the transportation, retail and e-commerce sectors - with affordable, automated revenue management tools that enhance pricing decisions and improve financial performance.
Organizations in these sectors often lack the resources, data infrastructure, and expertise needed to implement advanced pricing strategies.
This project aims to provide access to smart pricing technology by developing an artificial intelligence-driven platform capable of operating effectively in data-scarce and competitive environments.
The broader societal impacts include strengthening small businesses and supporting the economies surrounding dynamic pricing sectors.
The innovations in forecasting, optimization, and competitive analysis have potential applications across a range of sectors experiencing dynamic pricing, thereby offering the potential for substantial commercial impact.
This Small Business Innovation Research (SBIR) Phase I project addresses the challenge of optimizing pricing decisions in dynamically priced market sectors with limited historical data and intense price competition.
The research objectives are to develop (1) novel demand forecasting methods that combine observational data with lightweight online experimentation; (2) an automated competitor analysis engine using econometric and machine learning tools; and (3) fast heuristic optimization algorithms to support real-time, network-wide pricing decisions.
The project will implement and validate these innovations using real-world data and simulated operational settings.
Anticipated technical results include accurate demand forecasts, robust pricing algorithms, and demonstrated revenue gains in pilot environments - laying the groundwork for scalable commercial deployment and continued innovation in dynamic pricing.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are not planned for this award.
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is to empower organizations that are exposed to dynamic pricing? Such as in the transportation, retail and e-commerce sectors - with affordable, automated revenue management tools that enhance pricing decisions and improve financial performance.
Organizations in these sectors often lack the resources, data infrastructure, and expertise needed to implement advanced pricing strategies.
This project aims to provide access to smart pricing technology by developing an artificial intelligence-driven platform capable of operating effectively in data-scarce and competitive environments.
The broader societal impacts include strengthening small businesses and supporting the economies surrounding dynamic pricing sectors.
The innovations in forecasting, optimization, and competitive analysis have potential applications across a range of sectors experiencing dynamic pricing, thereby offering the potential for substantial commercial impact.
This Small Business Innovation Research (SBIR) Phase I project addresses the challenge of optimizing pricing decisions in dynamically priced market sectors with limited historical data and intense price competition.
The research objectives are to develop (1) novel demand forecasting methods that combine observational data with lightweight online experimentation; (2) an automated competitor analysis engine using econometric and machine learning tools; and (3) fast heuristic optimization algorithms to support real-time, network-wide pricing decisions.
The project will implement and validate these innovations using real-world data and simulated operational settings.
Anticipated technical results include accurate demand forecasts, robust pricing algorithms, and demonstrated revenue gains in pilot environments - laying the groundwork for scalable commercial deployment and continued innovation in dynamic pricing.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are not planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH / SMALL BUSINESS TECHNOLOGY TRANSFER PHASE I PROGRAMS", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF24579
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Boulder,
Colorado
80305-7007
United States
Geographic Scope
Single Zip Code
Pricing Service was awarded
Project Grant 2451100
worth $299,700
from National Science Foundation in October 2025 with work to be completed primarily in Boulder Colorado United States.
The grant
has a duration of 1 year and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Project Grant was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs.
Status
(Ongoing)
Last Modified 8/12/25
Period of Performance
10/1/25
Start Date
9/30/26
End Date
Funding Split
$299.7K
Federal Obligation
$0.0
Non-Federal Obligation
$299.7K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2451100
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
S72QKYJUQ843
Awardee CAGE
None
Performance District
CO-02
Senators
Michael Bennet
John Hickenlooper
John Hickenlooper
Modified: 8/12/25