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Law Enforcement On-Duty Scheduling Software

Overview


Software, Web & Mobile Development
Charlotte, North Carolina, United StatesPosted 15 days agoDeadline: June 1st, 2026

Fit Score


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SUMMARY


North Carolina is seeking secure, user-friendly law enforcement scheduling software with web and mobile access for officers and robust integration with City systems.

KEY REQUIREMENTS


BUDGET

Estimate

$250,000 – $750,000

CONTRACT DURATION


60 months

TIMELINE


Issuance of RFP: April 22nd, 2026

Submission of Written Questions Prior to Pre-Proposal Conference: April 29th, 2026

Non-Mandatory Pre-Proposal Conference: May 6th, 2026

Submission of Written Questions After the Pre-Proposal Conference: May 11th, 2026

Proposal Submission: June 1st, 2026

Evaluation: June 2nd, 2026 – June 19th, 2026

Interviews and Demonstrations: July 20th, 2026 – July 23rd, 2026

Contract Award by Council: August 2026

QUESTION DEADLINE


April 29th, 2026

Issuing Agency


City Of Charlotte

Organization overview and procurement intelligence available on paid plans.

DESCRIPTION


The City of North Carolina seeks a vendor to provide law enforcement on-duty scheduling software. The system will be responsible for scheduling, managing, and tracking officer shifts to ensure optimal staffing and compliance with operational protocols. Requirements include a secure and robust platform that is user-friendly for both end-users and administrators, and flexible enough to accommodate changes in organizational structure or policy.

The solution must automate key tasks such as shift assignments, overtime management, time-off requests, and shift swapping, ensuring these operations do not adversely impact staffing levels. The software should reduce scheduling errors and administrative workloads, thereby enhancing overall workforce efficiency. Integration capabilities with existing City systems and redesigned workflows are required, and officers must be able to access and manage shifts via web and mobile platforms. The contract period will be five years.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.

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