Notice Information
Notice Title
Income Collection Platform
Notice 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.
Planning Information
We are looking to see what software is available in the market place specifically for the collection of rent arrears. Deadline:23.07.2025 Please contact procurementteam@futureshg.co.uk
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-h6vhtk-0551e7
- Publication Source
- Find A Tender Service
- Latest Notice
- https://www.find-tender.service.gov.uk/Notice/034452-2025
- Current Stage
- Planning
- All Stages
- Planning
Procurement Classification
- Notice Type
- UK2 - Preliminary Market Engagement Notice
- Procurement Type
- Standard
- Procurement Category
- Goods
- Procurement Method
- Not Specified
- Procurement Method Details
- Not specified
- Tender Suitability
- SME, VCSE
- Awardee Scale
- Not specified
Common Procurement Vocabulary (CPV)
- CPV Divisions
48 - Software package and information systems
-
- CPV Codes
48000000 - Software package and information systems
Notice Value(s)
- Tender Value
- Not specified
- Lots Value
- Not specified
- Awards Value
- Not specified
- Contracts Value
- Not specified
Notice Dates
- Publication Date
- 23 Jun 20258 months ago
- Submission Deadline
- Not specified
- Future Notice Date
- 23 Jul 2025Expired
- Award Date
- Not specified
- Contract Period
- 31 Mar 2026 - 31 Mar 2029 3-4 years
- Recurrence
- Not specified
Notice Status
- Tender Status
- Planning
- Lots Status
- Planning
- Awards Status
- Not Specified
- Contracts Status
- Not Specified
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- FUTURES HOUSING GROUP LIMITED
- Contact Name
- Not specified
- Contact Email
- procurementteam@futureshg.couk
- Contact Phone
- Not specified
Buyer Location
- Locality
- CASTLE DONINGTON
- Postcode
- DE74 2SA
- Post Town
- Derby
- Country
- England
-
- Major Region (ITL 1)
- TLF East Midlands (England)
- Basic Region (ITL 2)
- TLF2 Leicestershire, Rutland and Northamptonshire
- Small Region (ITL 3)
- TLF22 Leicestershire CC and Rutland
- Delivery Location
- Not specified
-
- Local Authority
- North West Leicestershire
- Electoral Ward
- Daleacre Hill
- Westminster Constituency
- North West Leicestershire
Further Information
Notice Documents
-
https://www.find-tender.service.gov.uk/Notice/034452-2025
23rd June 2025 - Preliminary market engagement notice on Find a Tender
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.
{
"tag": [
"compiled"
],
"id": "ocds-h6vhtk-0551e7-2025-06-23T15:19:17+01:00",
"date": "2025-06-23T15:19:17+01:00",
"ocid": "ocds-h6vhtk-0551e7",
"initiationType": "tender",
"parties": [
{
"id": "GB-COH-06293737",
"name": "FUTURES HOUSING GROUP LIMITED",
"identifier": {
"scheme": "GB-COH",
"id": "06293737"
},
"additionalIdentifiers": [
{
"scheme": "GB-PPON",
"id": "PCBW-2691-JZJL"
}
],
"address": {
"streetAddress": "Futures House Building 435 Argosy Road",
"locality": "Castle Donington",
"postalCode": "DE74 2SA",
"country": "GB",
"countryName": "United Kingdom",
"region": "UKF22"
},
"contactPoint": {
"email": "procurementteam@futureshg.couk"
},
"roles": [
"buyer"
],
"details": {
"classifications": [
{
"scheme": "UK_CA_TYPE",
"id": "publicAuthoritySubCentralGovernment",
"description": "Public authority - sub-central government"
}
]
}
}
],
"buyer": {
"id": "GB-COH-06293737",
"name": "FUTURES HOUSING GROUP LIMITED"
},
"planning": {
"milestones": [
{
"id": "engagement",
"type": "engagement",
"description": "We are looking to see what software is available in the market place specifically for the collection of rent arrears. Deadline:23.07.2025 Please contact procurementteam@futureshg.co.uk",
"dueDate": "2025-07-23T23:59:59+01:00",
"status": "scheduled"
}
],
"documents": [
{
"id": "034452-2025",
"documentType": "marketEngagementNotice",
"noticeType": "UK2",
"description": "Preliminary market engagement notice on Find a Tender",
"url": "https://www.find-tender.service.gov.uk/Notice/034452-2025",
"datePublished": "2025-06-23T15:19:17+01:00",
"format": "text/html"
}
]
},
"tender": {
"id": "FHG_2025P053",
"legalBasis": {
"id": "2023/54",
"scheme": "UKPGA",
"uri": "https://www.legislation.gov.uk/ukpga/2023/54/contents"
},
"title": "Income Collection Platform",
"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.",
"items": [
{
"id": "1",
"additionalClassifications": [
{
"scheme": "CPV",
"id": "48000000",
"description": "Software package and information systems"
}
],
"deliveryAddresses": [
{
"region": "UK",
"country": "GB",
"countryName": "United Kingdom"
}
],
"relatedLot": "1"
}
],
"mainProcurementCategory": "goods",
"aboveThreshold": false,
"lots": [
{
"id": "1",
"suitability": {
"sme": true,
"vcse": true
},
"contractPeriod": {
"startDate": "2026-04-01T00:00:00+01:00",
"endDate": "2029-03-31T23:59:59+01:00"
},
"status": "planning"
}
],
"status": "planning"
},
"language": "en"
}