Stale Pre-tender

Income Collection Platform

Details

Topic
Software package and information systems
Published
23 June 2025
Submission
23 July 2025

Tender description

Income collection tool, to reduce rent arrears and maximise customer contact, by focusing resources. We are looking for a solution designed to enhance our arrears management processes. This tool will leverage advanced technologies to provide a comprehensive view of customer debt and tenancy types, while also utilising AI and machine learning to optimise caseload management. The solution will need to: 1. Engage customers most in need through risk-base prioritisation. 2.Provide a consolidated view of all debt and tenancy types, including CTA, FTA, Sub Accounts, Leasehold, etc. 3. Utilise AI and machine learning to learn from officer and customer behaviours, creating an accurate caseload of customers requiring support. 4. Deliver personalised messages via the preferred contact method, with the right message at the right time through intelligent automation. 5. Support officers with "Outcome Impact" to inform future decision-making based on previous successful interventions. 6. Consolidate all relevant information with notes, payments, and case history on a single screen, plus quick search functionality for officers' convenience. 7. Drive positive actions and outcomes through the use of behavioural science and nudge theory. 8. Empower officers on the go and enhance productivity with a mobile responsive solution.

Timeline

  1. Completed: Pre-tender published23 June 2025
    Current notice

About the buyer

Futures Housing Group is a social housing provider that buys as a housing association. Futures also tenders its own frameworks, including strategic asset management and estate agency.

Gas servicing has been direct awarded through the Neutral Vendor Framework and the Procurement for Housing Framework.

Over the past 5 years, most of Futures Housing Group's contract awards have been in repair and maintenance, construction work and software and information systems.

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Decision makers

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