Provision of Content and a new STEM based digital platform

Development of a digital platform to support accessibility to vocational skills opportunities related to STEM-based careers in Advanced Manufacturing and Engineering, or Digital professions. Acting as a 'one stop shop' it is envisaged that the platform will incorporate a range of different interactive technological and digital experiences and content.

Critically young people will need to be involved in the development and the design of the digital, careers-based online platform which will engage, motivate, enable and facilitate access to clear opportunities for progression from school to high-level occupations. Acting as a 'one stop shop' it is envisaged that the platform will incorporate a range of different interactive technological and digital experiences and content. The platform will link to, and complement, other existing careers platforms. Consequently, GBS IoT anticipate that this requirement may require input from a range of specialist providers including video and VR technologies.

All parties interested in feeding into this project should register interest via this PIN for early engagement.

The platform needs to be live in time for a March 2023 delivery Additional information: The PIN has been issued to secure early engagement with suppliers to initiate discussions to ensure robustness of specifications and tender processes. All interested parties are invited to register details via email @ procurement@solihull.ac.uk immediately in order for further discussion to take place.

In registering, please provide your name, contact details with a brief outline of how you feel your organisation could support this delivery for GBS IoT consideration.

Tender process is expected to start in July 2022 with award currently planned for October 2022.

All organisations wishing to tender will be required to register on the In-Tend Education Portal to access documents www.in-tendhost.co.uk/educationportal/aspx… ↗

Content creation for the new STEM based digital platform. Imperative that content must clearly and effectively target the right populous and be compatible with the Platform (lot 2)Delivery required by 31 March 2023. Collaborative working with GBS IoT, the discovery phase partner (procured separately) and the platform developer tendered under Lot 2. This requirement is part of a larger GBSIoT project. As such the total budget for the development period ending 31.03.23 cannot be exceeded. An indicative budget of £200k inclusive of VAT has been allocated for the content creation and platform development in the initial period. It is expected that the split between Lot 1 and Lot 2 will be approx. 50:50. In the event that the proposed solutions exceed the indicative guide budget the GBSIoT would still actively encourage a tender response to enable further dialogue to take place (subject to a full assessment of tendered responses and overall budget performance).

Development of a digital platform to support accessibility to vocational skills opportunities related to STEM-based careers in Advanced Manufacturing and Engineering, or Digital professions. Acting as a 'one stop shop' it is envisaged that the platform will incorporate a range of different interactive technological and digital experiences and content.Delivery required by 31 March 2023. Collaborative working with GBS IoT, the discovery phase partner (procured separately) and the content creator tendered under Lot 1. This requirement is part of a larger GBSIoT project. As such the total budget for the development period ending 31.03.23 cannot be exceeded. An indicative budget of £200k inclusive of VAT has been allocated for the content creation and platform development in the initial period. It is expected that the split between Lot 1 and Lot 2 will be approx. 50:50. In the event that the proposed solutions exceed the indicative guide budget the GBSIoT would still actively encourage a tender response to enable further dialogue to take place (subject to a full assessment of tendered responses and overall budget performance).