Open in a 12 months

Income Collection Platform

Descriptions

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

Published Date :

23rd Jun 2025 Yesterday

Deadline :

23rd Jun 2026 in a 12 months

Contract Start :

31st Mar 2026

Contract End :

31st Mar 2029

Tender Lot Details

1 Tender Lot

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Workflows

Status :

Open

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Tender Progress :

0%

Details

Notice Type :

Open opportunity

Tender Identifier :

IT-378-246-T: 2024 - 001

TenderBase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Region :

North Region

Attachments :

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Designation :

Chief Executive Officer

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors