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SNAP Error Rate Reduction Support Solution

Overview


Management Consulting & Admin Support
New Hampshire, United StatesPosted: September 4, 2026Deadline: October 1, 2026

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SUMMARY


The organization is seeking information on technology, services, or methodologies that can reduce SNAP payment errors and improve case processing accuracy. Desired capabilities include predictive analytics, case review, workflow optimization, quality control, error trend visualization, and regulatory compliance.

KEY REQUIREMENTS


TIMELINE


Release Date: September 3rd, 2026

Responses Due Date: October 1st, 2026

QUESTION DEADLINE


October 1, 2026

CONTACTS


Primary procurement contact — name, title, email, and phone

Additional decision-makers and their departments

Issuing Agency


New Hampshire Department Of Health And Human Services

Organization overview and procurement intelligence available on paid plans.
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DESCRIPTION


The issuing organization is seeking information from vendors regarding solutions that can help identify, mitigate, and prevent Supplemental Nutrition Assistance Program (SNAP) payment errors. The solution should support improved program accuracy, stronger case processing, and compliance with applicable SNAP regulations and data security standards.

Relevant capabilities may include data analysis and predictive analytics to identify potential error cases for review; case review tools; measurement methodologies; workflow optimization; and client communication tools that improve the accuracy of reported information. The solution should also help identify root causes, measure improvements, monitor progress, and visualize error trends.

The organization is also interested in quality control case analysis and any other technology, service, or methodology that could contribute to reducing SNAP error rates.

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Frequently asked questions


When is the submission deadline?
Submissions are due October 1, 2026. Questions must be submitted by October 1, 2026.
Who issued this RFP?
It was issued by New Hampshire Department Of Health And Human Services. The work is located in New Hampshire, United States.
Who is a good fit for this opportunity?
  • Data analytics and predictive modeling firm with public-sector experience
  • Provider of SNAP, benefits administration, or human services program solutions
  • Expertise in case management, quality control, and workflow optimization
  • Demonstrated ability to protect sensitive client data and meet regulatory requirements
  • Experience delivering error monitoring, root-cause analysis, and performance reporting tools

Analysis generated by Settle AI from the source RFP.

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Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.

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