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Revenue Optimization Government Bids & RFPs
Government bid alerts, regional filters, and fast access to documents
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90% recommend BidHits (1070 real users, 07/15/2026).Methodology
Pricing Optimization/ Energy Optimization/ Revenue Management
Charge Point Operator Software and EVSE Operations & Maintenance Services Contra Costa County is seeking information from qualified vendors regarding Charge Point Operator ( CPO) software and related Electric Vehicle Supply Equipment ( EVSE) operations and maintenance ( O& M) services for County- owned EV charging infrastructure.
Charge Point Operator Software and EVSE Operations & Maintenance Services
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Contra Costa County is seeking information on Charge Point Operator (CPO) software and Electric Vehicle Supply Equipment (EVSE) operations and maintenance (O&M) services for county-owned EV charging infrastructure. The county aims to centralize management of EV chargers, support various user groups, optimize utilization, and reduce operational burden. This RFI is for informational purposes only and does not commit the county to a future contract. Responses are due by July 14, 2026. Vendors must submit responses electronically via BidnetDirect. com. All costs are at the responder's expense.
The RFI due date is July 14, 2026, no later than 3:00 p. m. PDT. fi due date july 14, 2026, no later than 3:00 pm pdt
The county will evaluate responses based on completeness, quality, clarity, meeting functional and technical requirements, and details on third-party interdependencies. The county will evaluate the responses to this rfi based on the vendors ability to provide: 1. completeness answers to all ques ons 2. quality detailed and realis c response 3. clarity clearly wri en and easily understandable response 4. meet any func onal and technical requirements as specified 5. details on any thirdparty interdependenciesthe county will review the responses to this rfi
Vendors must provide company background and qualifications, including experience managing mixed hardware portfolios and supporting different charging scenarios. provide company name, primary contact, headquarters location, and description of core services.
An RFI response may be rejected for failure to deliver by the due date and time, or for failure to include requested information. failure of vendor to deliver the response by the due date and me failure to include informa on requested in the rfi
Financial Aid Optimization Oakland University proposes a comprehensive Financial Aid Optimization Study to refine institutional merit and need- based aid allocation strategies, maximize enrollment yield and retention goals, improve net tuition revenue, and maintain commitments to access, affordability, and compliance.
Financial Aid Optimization Study Refine institutional merit and need- based aid allocation strategies, maximize enrollment yield and retention goals, improve net tuition revenue, and maintain commitments to access, affordability, and compliance. Develop predictive models that optimize aid awarding across undergraduate populations, with targeted analysis for graduate and professional programs. Use historical enrollment and retention data, financial aid offered and disbursed data, and yield data to model optimal award strategies. Results will inform financial aid policies, scholarship program design, and housing affordability initiatives.
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Oakland University is seeking proposals for a comprehensive financial aid optimization study. The goal is to refine aid allocation strategies, maximize enrollment yield and retention, and improve net tuition revenue. The study will involve developing predictive models using historical data to optimize award strategies. Key deliverables include a financial aid optimization plan, segment-level predictive models, and an implementation roadmap. Proposals are due July 20, 2026. Questions are due June 22, 2026.
Sealed proposals are due by July 20, 2026, at 12 PM EST.
Oakland University's preferred payment method is with a university credit card (PCard). They will not accept convenience fees or increased pricing due to PCard payment.
Proposals will be evaluated based on demonstrated experience, expertise in price sensitivity methodologies, capability in pricing differentiation and modeling, data integration strength, predictive modeling and scenario simulation capabilities, quality of consulting support, and cost. The award will be made to the responsive and responsible respondent whose proposal offers the best value.
Proposers must demonstrate experience with public or regional universities, financial aid optimization processes, advising strategies specific to individual institutions, and application of national best practices. They must also describe their proprietary algorithms and yield prediction models.
Failure to submit information in accordance with RFP requirements, failure to comply with the procurement schedule, or failure to meet insurance requirements may lead to disqualification.
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Welcome to BidHits.
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Methodology
Unaided survey with 1070 active users, conducted through 07/15/2026.
Single question: "Would you recommend our services to a friend or colleague?" - 90% answered "yes".
