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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.
Preliminary market engagement notice (UK2). The buyer wants to talk to suppliers before designing the procurement. Taking part is how to shape it.
Bids are submitted through the buyer’s own portal, not on this site. Read the full notice on Find a Tender before relying on any date here.
No supplier information available.
This procurement was divided into 1 lots, each awarded separately.
| Lot | Value | Status |
|---|---|---|
| Lot 1 Apr 2026 – Mar 2029 | - | planning |