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Contact Centre Omni Channel Telephony

GREENSQUAREACCORD LIMITED Published 13 Jul 2026 Find a Tender

key details

Statusplanned
Category (CPV) 64214200 +2 more
RegionNorth East, North West, Yorkshire and the Humber, East Midlands, West Midlands, East of England, London, South East, South West
Procedureselective
OCIDocds-h6vhtk-06c9fe

description

GSA requires a scalable, omni-channel contact centre telephony platform that supports inbound and outbound voice services, alongside email and SMS communication. It will also incorporate workforce management capabilities to enable effective forecasting, scheduling, and performance management of customer service agents.

The solution will provide a reliable and efficient contact handling environment, enabling customer service agents to manage interactions across multiple channels and teams, delivering end-to-end customer contact management.

The platform will be designed with scalability in mind, allowing for future expansion into a fully omni-channel solution. This will incorporate AI-driven capabilities, automation, and chatbot functionality to improve customer experience and operational efficiency. It will also support seamless movement of customers between digital and voice channels while retaining context and customer history, reducing the need for customers to repeat information.

Additional capabilities based on the following phased approach, will include implementations that will promote and support, channel shift, social media integration, out-of-hours functionality, self-service via a customer portal, WhatsApp integration, and connectivity to GSA core platforms as required.

Business Objectives

The key objectives of this initiative are:

Phase 1

Improve customer experience through faster response times and consistent communication across channels
Increase operational efficiency by streamlining agent workflows and automating routine tasks
Enable multi-channel engagement (voice, email, SMS) from a single platform
Provide scalability to support growing customer demand and flexibility as customer contact channels evolve. A modern contact centre should allow interactions to flow between digital and voice channels while retaining context and customer history, reducing the need for customers to repeat information
Implement robust reporting and workforce management capabilities

Phase 2

Lay the foundation for omnichannel and AI capabilities, including:

Intelligent routing
Chatbots and virtual assistants
Predictive analytics
Capabilities such as call summaries, agent assist, intent recognition, and sentiment analysis
Introduce additional digital channels and services, including:
oCustomer self-service portal
oSocial media channels
oChannel switching (movement between channels)
oDigital concierge (triage)

In Scope / Out of Scope

In Scope:

Telephony (Voice)
oInbound call handling
oOutbound calling capabilities (manual and automated)
oCall routing and queuing
oIVR (Interactive Voice Response)
oWorkforce management
Digital Communication
oEmail management (inbound/outbound)
oSMS/text messaging (inbound/outbound)
Agent Functionality
oUnified agent desktop/interface
oCall controls (hold, transfer, mute, conference)
oInteraction history
Reporting & Analytics
oOperational reporting (call volumes, wait times, agent performance, workforce management)
Scalability
oA cloud-based or scalable architecture should be implemented to support future growth, ensuring the solution remains evergreen and adaptable to evolving business needs.

Out of Scope (For initial phase 1)

Full omnichannel integration (e.g. social media, web chat)
Advanced AI-driven automation (to be considered in future phases)
Complex MRI integration
Advanced speech analytics (beyond reporting)

This is required to modernise the service, support hybrid working, improve customer engagement, and reduce estate and operating costs. Estimated budget of £650k inc VAT.

notice history

1 notice published against this procurement.

PublishedTypeRegimeNotice
13 Jul 2026 Planned procurement (UK3) Procurement Act 2023 065814-2026

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