Prior information notice
This notice is for prior information only
Section I: Contracting
authority
I.1) Name and addresses
SEVERN TRENT WATER LIMITED
Severn Trent Water
2 St. Johns Street
COVENTRY
CV12LZ
UK
Contact person: Jordan Harris
Telephone: +44 7812483431
E-mail: jordan.harris@severntrent.co.uk
NUTS: UK
Internet address(es)
Main address: www.stwater.co.uk
I.3) Communication
The procurement documents are available for unrestricted and full direct access, free of charge at:
https://discovery.ariba.com/rfx/18254698
Additional information can be obtained from the abovementioned address
I.4) Type of the contracting authority
Other: Utilities
I.5) Main activity
Environment
Section II: Object
II.1) Scope of the procurement
II.1.1) Title
Net Zero Digital Twin Innovation
II.1.2) Main CPV code
72300000
II.1.3) Type of contract
Services
II.1.4) Short description
Wastewater AI/ML Analytics and Visualisation Platforms
Addressing the complex and competing environmental, operational performance, and customer impact challenges in wastewater management needs an asset intelligence, analytics and decision support capability to ensure we continue to deliver on our performance commitments and mitigate any impact to the environment in which we operate.
II.1.6) Information about lots
This contract is divided into lots:
No
II.2) Description
II.2.2) Additional CPV code(s)
72300000
II.2.3) Place of performance
NUTS code:
UK
II.2.4) Description of the procurement
This is not a Call for Competition - STW are seeking to engage the market and collaborate with market partners and leaders in the data visulisation and AI space to develop a solution for the following:
Addressing the complex and competing environmental, operational performance, and customer impact challenges in wastewater management needs an asset intelligence, analytics and decision support capability to ensure we continue to deliver on our performance commitments and mitigate any impact to the environment in which we operate.
We are seeking to understand which analytics and visualisation platforms are available, and how they can provide both the underlying digital architecture platforms and the diagnostic and predictive insight required to ensure that we continue to take waste safely away.
We require a wastewater visualisation platform that will enable us to easily develop, procure, host, integrate, connect, and run a range of models and software to deliver both Operational Intelligence and Investment Intelligence capabilities to a range of diverse stakeholders across the wastewater management hierarchy.
II.2.14) Additional information
STW is seeking to collaborate with partners in the software, data visulisation and artificial intelligence space and are running a market engagement exercise as part of the innovative Net Zero programme.
STW will hold a number of webinars and engagement sessions with the market in early 2024 to begin discussions around developing a solution that will deliver on the attached specification.
II.3) Estimated date of publication of contract notice:
29/02/2024
Section IV: Procedure
IV.1) Description
IV.1.8) Information about Government Procurement Agreement (GPA)
The procurement is covered by the Government Procurement Agreement:
No
Section VI: Complementary information
VI.5) Date of dispatch of this notice
18/12/2023