REQUEST FOR PROPOSAL
Comprehensive Transfer Technology Solution
RFP SSU 2026-04
Issued: Thursday, January 22, 2026
PROPOSAL DUE: Monday, February 16, 2026, at 2:00 PM (Eastern Standard Time)
SUBMITTED BY SALEM STATE UNIVERSITY
Purchasing Department
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deemed unresponsive and disqualified. ALL Responses must be submitted in accordance with the
specific terms of this RFR.
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University Background
Salem State University, established in 1854, is a comprehensive, public institution of higher
learning located approximately fifteen miles north of Boston, Massachusetts. One of the largest
state universities in the Commonwealth, Salem State, enrolls about 7,000 undergraduate and
graduate students. It offers thirty-two undergraduate programs and graduate programs that offer
degrees in twenty-four fields. The university also has a continuing education division that offers
both credit and non-credit programs. Salem State proudly participates in the National Study of
Learning, Voting, and Engagement and has shown a student voting rate above the national average,
earning it a Silver Seal from the ALL IN Campus Democracy Challenge. In 2020, Salem State
received Carnegie Community Engagement Classification. The university is designated a Best for
Vets College by Military Times.
For further information go to the Salem State University webpage.
The university is an agency of the Commonwealth of Massachusetts and is exempt from any State
tax or Federal excise tax. Unless otherwise stated, the unit price shall be the net price. Separate unit
and total prices must be shown if applicable. Unless otherwise stated, all quoted prices shall be FOB
university address inside delivery.
RFP Specifications: Comprehensive Transfer Technology Solution
1. Overview
Salem State University seeks proposals for a comprehensive, enterprise-level transcript
processing and transfer credit evaluation automation solution that modernizes and
automates transfer credit intake, evaluation, articulation, and prospective transfer student
recruitment by means of a transfer portal that is able to provide degree audit information to
prospective students. The selected solution will leverage AI technologies to extract
transcript data, match it against institutional equivalency rules and must integrate
seamlessly with Oracle Campus Solutions (PeopleSoft) and support the full lifecycle of
transfer credit—from transcript ingestion to final posting in the Student Information System
(SIS).
The University is especially interested in vendors who:
• Provide end-to-end implementation services with minimal burden on campus IT
staff in collaboration with an internally assigned project manager.
• Demonstrate deep expertise with Oracle Campus Solutions/PeopleSoft integration.
• Leverage AI-enhanced automation, machine learning, or NLP to improve accuracy
and speed.
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• Is able to integrate with the Oracle Campus Solutions/PeopleSoft Academic
Advisement module to provide on demand degree audit information to prospective
transfer students.
2. Required Functional Components
2.1 Transcript Ingestion & Processing
The proposed solution must:
High School & College Transcript Reading
• Accurately read and parse both high school and college transcripts, including:
o PDF and scanned images
o E-transcripts (e.g., Parchment, National Student Clearinghouse, SPEEDE)
o Unofficial documents uploaded by students
• Extract course, grade, credit, and term information.
• Handle custom evaluation rules (e.g., Mass Transfer General Education Foundation,
weighted high school GPA rules)
• Identify and normalize institution names and course subjects/numbers.
• Accurately read and parse international credential evaluations (e.g., WES, CED,
NACES and similar)
• Handle varying formats (OCR + AI/NLP strongly preferred).
Connection to Existing Document Management
• Pull transcripts directly from OnBase via API or automated retrieval.
• Associate transcript data with the correct student record and/or prospect.
2.2 Integration with Oracle Campus Solutions (PeopleSoft)
The proposed solution must provide robust, secure, and fully documented integration with
Oracle Campus Solutions (PeopleSoft) 9.2. The vendor must demonstrate prior successful
integrations with PeopleSoft at peer institutions and must clearly articulate the technical
approach, supported APIs, data exchange methods, and mapping strategies.
The University requires a model in which PeopleSoft remains the authoritative system of
record for students, course, and degree data. The solution must not require the creation or
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maintenance of a shadow student information database unless expressly approved by
SSU.
2.21 Real-Time or Near-Real-Time Integration
a. The solution must support real-time or near-real-time exchange of data between the
vendor system and PeopleSoft, including:
• Web services, REST APIs, integration broker endpoints, or other standards-based
approaches
• Secure and FERPA-compliant transmission protocols
• Automated synchronization of changes without manual intervention
b. The vendor must describe expected latency windows and any technical prerequisites.
2.22 Required Bi-Directional PeopleSoft Integration
The vendor must support bi-directional integration as needed with the following Campus
Solutions components:
a. Transfer Credit & Articulation
• Transfer Credit Evaluation (TCE) tables
• External course and institution tables
• Equivalency rules, transfer subject areas, and articulation conditions
• Student External Education tables
b. Academic Structure & Course Data
• Course Catalog (e.g., PS_CRSE, PS_CRSE_CATALOG, PS_CRSE_OFFER)
• Academic Organization, Academic Program, Plan (as needed for degree
applicability and transfer articulation)
c. Degree Audit / Academic Advisement
• Academic Advisement requirement tables
• Updates needed for preliminary degree audit scenarios
d. Student Records & Admissions
• Bio/demo data needed for record matching
• Admissions application records (for recruitment module)
• Student Program/Plan/Term data as applicable
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The vendor must identify all specific tables or API endpoints used and all data required.
2.3 Transfer Equivalency Automation & Workflow
The solution should include:
AI-Driven Equivalency Suggestions
• Automated or semi-automated course equivalency suggestions based on:
• Existing transfer rules
• Historical equivalencies
• Machine learning pattern detection
• Content similarity between courses (syllabi, descriptions, etc.)
Decision Workflow
• Routing of evaluations to designated evaluators (transfer staff, academic
departments, etc.).
• Ability to capture:
o Decisions
o Reviewer notes
o Supporting documents
o Effective dates and rule applicability
• Automated notification/escalation options.
• Publishing Back to SIS:
o Transfer Articulation rules
o Student Transfer Credit Evaluation (Course Credits)
o Course equivalency tables
2.4 Prospective Student Recruitment & Self-Service Tools
A front-facing module for prospective and newly admitted students must:
Student Transcript Upload Portal
• Enable students to upload unofficial transcripts
• Use the system’s transcript-reading engine to extract transfer data automatically.
Tentative Transfer Evaluation
• Generate an instant, unofficial, rule-based transfer evaluation using PeopleSoft
transfer articulation rules.
• Present projected:
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This page summarizes the opportunity, including an overview and a preview of the attached documents.