--- title: "Income Collection Platform" ocid: "ocds-h6vhtk-0551e7" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-0551e7" markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-0551e7.md" json_url: "https://d3tenders.com/contract/ocds-h6vhtk-0551e7.json" source: "Find A Tender Service" current_stage: "Planning" buyer: "FUTURES HOUSING GROUP LIMITED" published: "2025-06-23" --- # Income Collection Platform Buyer: FUTURES HOUSING GROUP LIMITED Current stage: Planning OCID: ocds-h6vhtk-0551e7 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-h6vhtk-0551e7) [Download OCDS JSON](https://d3tenders.com/contract/ocds-h6vhtk-0551e7.json) ## Summary Futures Housing Group Limited, a sub-central public authority in Castle Donington, is currently in the planning stage of a procurement process titled "Income Collection Platform". This initiative seeks to acquire a software package and information system to address rent arrears and maximise customer contact using advanced technologies such as AI and machine learning. The procurement, classified under the industry category of "Software package and information systems", involves a preliminary market engagement, with a deadline scheduled for 23 July 2025. The software is intended to support operations within the UK and is expected to enhance the efficiency of arrears management processes, ultimately supporting a comprehensive view of customer debt and tenancy types. The contract is planned to commence on 1 April 2026 and conclude by 31 March 2029. This tender presents significant opportunities for businesses specialising in software development, particularly those with expertise in AI, customer relationship management, and debt management solutions. Companies offering innovative, mobile-responsive platforms with capabilities in intelligent automation and behavioural analytics may find this procurement to be a match for their offerings. The opportunity is suitable for small and medium-sized enterprises (SMEs) and voluntary, community, and social enterprises (VCSEs), potentially enabling these businesses to expand their clientele within the public sector and enhance their expertise in creating impactful financial management tools. Prospective suppliers can engage with Futures Housing Group Limited through their procurement team for further insights into the tender requirements. ## Notice 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 ## Key Details | Field | Value | | --- | --- | | Publication source | Find A Tender Service | | Latest notice | https://www.find-tender.service.gov.uk/Notice/034452-2025 | | 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 | | All stages | Planning | ## Dates | Field | Value | | --- | --- | | Publication date | 23 Jun 2025 | | Submission deadline | Not specified | | Future notice date | 23 Jul 2025 | | Award date | Not specified | | Contract period | 31 Mar 2026 - 31 Mar 2029 | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | Not specified | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Planning | | Lots status | Planning | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | FUTURES HOUSING GROUP LIMITED | | Locality | CASTLE DONINGTON | | Post town | Derby | | Postcode | DE74 2SA | | Country | England | | ITL 1 | TLF East Midlands (England) | | ITL 2 | TLF2 Leicestershire, Rutland and Northamptonshire | | ITL 3 | TLF22 Leicestershire CC and Rutland | | Local authority | North West Leicestershire | | Electoral ward | Daleacre Hill | | Westminster constituency | North West Leicestershire | | Delivery location | Not specified | ## CPV Codes ### Divisions - 48 - Software package and information systems ### Codes - 48000000 - Software package and information systems ## Release History - 23 Jun 2025 at 14:19 - Planning - UK2 - Preliminary Market Engagement Notice - https://www.find-tender.service.gov.uk/Notice/034452-2025 ## Documents - https://www.find-tender.service.gov.uk/Notice/034452-2025 23rd June 2025 - Preliminary market engagement notice on Find a Tender ## Notice URLs - https://www.legislation.gov.uk/ukpga/2023/54/contents ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-0551e7. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-0551e7.json.