ALPR_pre-response_information_session_-_vendors.pptx
PPTX presentation 1 MB Posted
- Solicitation number
- 2025-064
- Issued by
- King County, Washington
About this file
This is a pre-response information session presentation file created by the City of Seattle, Seattle Police Department (SPD), to brief vendors on the Request for Information (RFI) for Parking Enforcement and Automatic License Plate Reading (ALPR) Technology Modernization. The RFI seeks vendor input on commercially available technologies, implementation approaches, integration capabilities, and innovative solutions to modernize parking enforcement operations. SPD is gathering market research information only; this RFI does not constitute a solicitation for bids, proposals, pricing, or contractual commitments. Responses are due by 12:00 am on Thursday, August 27, 2026, and must be submitted through the Procurement Portal at https://procurement.opengov.com/portal/seattle using the provided RFI Response Template.
Vendors must address twelve mandatory ALPR compliance requirements derived from Washington's ESSB 6002 (chapter 10.130 RCW), Seattle's Surveillance Ordinance (SMC 14.18), and City-approved ALPR policies, including no-collection zone configuration, data retention, audit logging, and security controls. Required responses include a one-page vendor snapshot and detailed capabilities addressing current-environment integration, citation and ALPR workflows, GIS mapping and geofencing, system integration, reporting and analytics, towing and impound workflows, and innovation features. Vendors must describe deployment models, mobile platform support, licensing approaches, implementation timelines, system uptime percentages, integration methods, and municipal experience with references. Any subsequent procurement will require standard Seattle technology contract terms, including prevailing wage requirements, commercial general liability insurance of $1 million, cyber liability insurance of $2 million, professional liability insurance of $2 million, WCAG 2.1 Level AA accessibility compliance, and data security controls with IP assignment to the City.
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Other files
| File | Type | Posted |
|---|---|---|
| RFI_Response_Template.docx | DOCX document | |
| Technology_Contract_Terms_and_Conditions.docx | DOCX document | |
| Contract_Terms_and_Conditions.docx | DOCX document |
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Text version
Market research discussion
August 2026
Parking Enforcement Technology Modernization Request for Information • Vendor Conference
PURPOSE
Today’s Conversation
SEATTLE POLICE DEPARTMENT • ALPR RFI VENDOR CONFERENCE
Context What we are trying to improve and why.
Future state How a connected enforcement environment could work.
What we need from you Show us how your technology solves the problem.
Questions Clarify the RFI and response expectations.
MARKET RESEARCH
Why We’re Here
SEATTLE POLICE DEPARTMENT • ALPR RFI VENDOR CONFERENCE
We want to understand how technology can make the process itself better.
CURRENT ENVIRONMENT
Today: Uneven System Connectivity
SEATTLE POLICE DEPARTMENT • RFI VENDOR CONFERENCE
Parking Enforcement information exists across multiple systems — some connections are partial, manual, or siloed.
PARKING
PAYMENTS
integrated today
ALPR
operational use; no citation handoff
COURT
one-way citation transfer
PERMITS
partial files / manual lookup
GIS +
CURB RULES
separate reference
COMPLAINTS /
MOTOROLA
separate workflow
TOWING
manual / separate
OPERATIONAL
ANALYSIS
manual / separate
PARKING ENFORCEMENT
OPERATIONS
Field
Citation
Back Office integrated one-way partial / manual siloed / separate Not a technical architecture diagram
FUTURE STATE. OUTCOME BASED
A More Connected Parking Enforcement Environment Bring the right information and capabilities together at the right time, while preserving flexibility in how the solution is delivered.
OPERATIONAL CONTINUITY
OPERATIONAL INSIGHT
SEATTLE POLICE DEPARTMENT • ALPR RFI VENDOR CONFERENCE
Native capabilities Integrations Consolidated functions Allow information to follow the work across field, supervisory, back-office, and partner processes.
Reduce manual handoffs
Avoid duplicate entry
Visibility into the status of related workflows and actions Turn operational information into better deployment, compliance and management decisions.
Understand compliance patterns
Deploy resources where needed
Interpret citation volume appropriately A user-friendly experience and intuitive operational decisions for the officer and management.
FIELD OPERATIONS
Help PEOs quickly determine whether a vehicle is complying and what action, if any, is appropriate.
Understand what applies
Identify what needs attention
Verify and take action efficiently
Leverage GIS data
Native capabilities and integrations
Imagine an officer beginning an enforcement area and the system already understands the relevant curb regulations and parking restrictions. As the officer moves through the area, ALPR identifies vehicles where legally permitted. The system evaluates relevant information such as parking restrictions, payment status, permits, time limits, and other applicable rules. If something requires action, the officer receives useful, actionable information rather than simply another data point. Where appropriate, the citation workflow could already contain available information for the officer to verify. If the situation involves a scofflaw vehicle, towing, or a complaint, the appropriate downstream workflow could be initiated or updated.
MANAGEMENT + ANALYTICS
From Activity to Operational Insight
SEATTLE POLICE DEPARTMENT • ALPR RFI VENDOR CONFERENCE
WE WANT TO UNDERSTAND:
CITATION VOLUME IN CONTEXT
Analysis on citation levels compared with actual parking conditions in each area, including the amount of regulated parking, parking activity, time of day, day of the week, and other variables.
Meaningful insight combines enforcement activity with curb rules, GIS, deployment and other operational data.
The goal is not more citations – it is better information, more effective deployment, and improved parking compliance.
When and where parking regulations or compliance issues exist so they can be prioritized by the officer and operation
Enforcement and compliance trends related to regulations in the area
That operational data is being used deploy PEO resources effectively
MANDATORY CAPABILITY
ALPR Compliance Is a Design Requirement
SEATTLE POLICE DEPARTMENT • ALPR RFI VENDOR CONFERENCE
NO-COLLECTION ZONES
Use City-provided mapping to prevent collection where ALPR use is restricted.
EDGE CONDITIONS
Prevent capture inside restricted areas even when the enforcement vehicle is outside the boundary.
OPERATOR CONTROL
Suspend and resume collection when operationally necessary, with appropriate controls.
RETENTION + AUDIT
Support required deletion, access controls, logging and demonstrable compliance.
Do not just tell us you can comply, explain how the controls work in practice.
WHAT WE WANT TO LEARN
What We Want to Learn From the Market
SEATTLE POLICE DEPARTMENT • ALPR RFI VENDOR CONFERENCE
Officer Experience What does a shift look like using your solution?
Integration & Compliance How does information move across the parking ecosystem and comply with the law?
Process Improvement How does your solution streamline enforcement workflows?
Municipal Lessons What have you learned from implementing in other municipalities?
Emerging Capability What should Seattle consider that is not outlined in the RFI?
Future Flexibility How does the solution adapt as laws, operations, and integrations change?
Tell us how your system modernizes a parking enforcement operation.
RFI PROCESS
Response + Next Steps
SEATTLE POLICE DEPARTMENT • ALPR RFI VENDOR CONFERENCE
SUBMISSION REMINDER
Use the attached RFI Response Template.
Questions due 8/18/2026.
Proposals due 8/27/2026.
Do not use the system’s “Submit Draft Response” feature to prepare your response.
Additional technical materials may be submitted in addition to the completed template.
WHAT HAPPENS NEXT
City reviews RFI responses
Clarification or additional information may be requested
Demonstrations / follow-up discussions may be conducted
Findings inform requirements and potential future direction Questions & discussion image1.jpeg image2.png image3.png
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