RFP QuestBeta
ClosedStage · contract

Newcastle City Council

007734 - Customer and Debtor Automated Engagement Platform

IT ServicesCPV 72000000
Value£249k
Deadline16 May 2022
Published5 Jul 2022
RegionNationwide
Timeline
Published 5 Jul 2022ClosedCloses 16 May 2022
Contract value in context
£249ktotal contract value
median £120k
this tender£0£3.5m

This sits in the upper-middle of the IT Services band — a substantial contract for the sector. Based on 36,449 valued IT Services tenders in our corpus.

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The brief

Newcastle City Council (NCC) has a requirement for a Customer and Debtor Automated Engagement Platform, that utilises artificial intelligence and machine learning in order to successfully and efficiently contact customers and debtors with automated voice, text and email, with a primary focus of, but not exclusive to council tax.

The successful tenderer will need to support Newcastle City Council with the use of behaviour science, drawing from their own knowledge and experience.

This solution will enable NCC to engage and recover debt more efficiently and effectively, highlighting and reviewing successful and unsuccessful campaigns utilising behavioural science to refine and improve iteratively, with the ultimate-aim of increasing collection from 97%.

NCC's detailed requirements are defined in full in the contract documents which can be found https://www.nepo.org/.

Key requirements

What the supplier must deliver

01

The successful tenderer will need to support

The successful tenderer will need to support Newcastle City Council with the use of behaviour science, drawing from their own knowledge and experience.

Derived from the notice text — always confirm against the original documents.

What this bid requires

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Source & provenance
OCID
c5cff43d-7f0e-4dd1-8721-6426fcbec0dd
Stage
contract · Contract
Source
Contracts Finder
Buyer ref
007734 - Customer and Debtor Automated Engagement Platform
View the original notice on Contracts Finder

Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.

Market context

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