Provision of Rent Analytics Software

A Tender Notice
by TORUS62LTD

Source
Find a Tender
Type
Contract (Supply)
Duration
3 year
Value
1M
Sector
TECHNOLOGY
Published
17 Sep 2024
Delivery
To 18 Oct 2027 (est.)
Deadline
18 Oct 2024 12:00

Concepts

Location

NORTH WEST (ENGLAND)

Geochart for 1 buyers and 0 suppliers

1 buyer

Description

Provision of rent analytical data services which utilises machine learning to manage its rent collection activities and analysis of areas of risk.

Total Quantity or Scope

Torus requires an Intelligent automated solution which prioritises income officer caseloads based upon risks of increasing customer debt, automates contact with low risk, low-level cases, and provides an integrated call handling and text messaging solution for those cases considered higher risk. The solution is to integrate fully with QL, enabling activity records in real time, but also have the capability to integrate with other housing management systems. The value stated on this Contract Notice includes 2 X12 month extensions and we are expecting to obtain savings by running this exercise.

Renewal Options

Option to extend for a further 2 x 12 months

CPV Codes

  • 48000000 - Software package and information systems

Indicators

  • Bids should cover the whole contract.
  • Options are available.
  • Renewals are not available.
  • Award on basis of price and quality.

Other Information

To respond to this opportunity please click here: https://www.delta-esourcing.com/respond/RMP2B53KS2 The contracting authority considers that this contract may be suitable for economic operators that are small or medium enterprises (SMEs). However, any selection of tenderers will be based solely on the criteria set out for the procurement. For more information about this opportunity, please visit the Delta eSourcing portal at: https://www.delta-esourcing.com/tenders/UK-UK-St-Helens:-Software-package-and-in... To respond to this opportunity, please click here: https://www.delta-esourcing.com/respond/RMP2B53KS2 GO Reference: GO-2024916-PRO-27727352

Reference

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