What is a call centre solution?

A contact centre solution enables businesses to manage large volumes of incoming and outgoing customer calls. It is a centralised system that includes various tools, technologies, and processes for handling customer interactions, such as voice calls, emails, chat, SMS, and social media messages.

What are the five pillars of a contact centre?

People – The recruitment, training, and management of agents and other staff members in the contact centre.Process – The procedures and workflows that are in place to handle customer inquiries and requests.Technology – The hardware and software systems that are used to manage customer interactions, such as telephony, CRM, workforce management, and reporting tools. Data – The collection, analysis, and utilisation of customer data and feedback to improve the customer experience and optimise contact centre operations.Strategy – The overall vision and direction of the contact centre, including its goals, objectives, and performance metrics.

What are the different types of contact centres?

There are five main types of contact centre.Inbound – Incoming customer calls and enquiriesOutbound – outbound calls such as telemarketingBlended – Handles both inbound and outboundVirtual – staff work remotelyMultichannel – across all channelsOmnichannel – across all channels and can switch between channelsCloud – hosted in the cloud

How many calls can a call centre handle?

The number of calls a call centre can handle varies depending on a number of factors, such as the size of the call centre, the number of agents available, and the complexity of the calls.

Who are the leading contact centre vendors in the UK?

The leading contact centre vendors in the UK are Mitel, 8×8, Cirrus, Gamma and Five 9, all of which Opus Technology are platinum partners with.

Conversation Analytics for Contact Centre

Gain valuable customer insight with conversational analytics

Conversational analytics uses advanced technologies like natural language processing (NLP) and machine learning to identify key topics, sentiment, trends, and patterns within conversations. By analysing conversational data, contact centre managers are empowered to identify actionable insights to improve service quality, identifying areas for process improvement, enhance agent training, and ultimately deliver better customer experiences.

Better understand your customers needs and gauge sentiment

Conversational analytics revolutionise the way a business can understand and engage with their customers. By analysing every interaction, from phone calls to chats and social media messages, our advanced conversation analytics solution provides unparalleled insights into customer behaviour, preferences as well as sentiment.

Extract valuable insights using natural language processing

Conversation analytics harness Natural Language Processing (NLP) and machine learning to extract valuable insights from customer conversations.

This enables contact centre managers to identify key topics, trends, and patterns to uncover actionable insights that drive improvements in service quality, agent training, and operational efficiency.

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Deliver an enhanced customer experience that addresses their needs

Empower your agents to deliver exceptional customer experiences by equipping them with the insights they need to understand and address customer needs effectively.

With customer conversational analytics, you can identify areas for improvement, personalise interactions, and proactively resolve issues, leading to higher customer satisfaction and loyalty.

Download our guide which informs you how to effectively use AI to reduce overheads and deliver enhanced CX

Leverage AI-powered technologies to enhance customer experience and reduce overhead costs.

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Unlock the full potential of your contact centre using data driven insight

Whether you’re looking to improve agent performance, increase efficiency, or enhance customer engagement, conversational analytics is the key to unlocking your contact centre’s full potential.

Using data-driven insights, processes can be optimised and trends easily identified to inform decisions that drive business success.

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How does customer conversational analytics work?

Data Gathering

Our conversation analytics solutions source customer conversation data from a wide range of channels such as call transcripts, chat logs, and social media interactions. They understand human language and use Natural Language Processing (NLP), to identify human language nuances, deciphering sentiments, context, and intent embedded within conversations to maintain accuracy.

Analysing Sentiments

Sentiment analysis tools discern emotional tones within customer interactions, aiding in measuring customer satisfaction and evaluating agent performance. AI-powered algorithms delve deep into conversations, extracting valuable insights by identifying keywords, topics, and recurring patterns helping businesses to identify potential concerns from their customers and trending issues.

Assessing Agent Performance

Conversation analytics assesses call centre agents’ performance through metrics like response time, resolution rate, and compliance with scripts or policies.

Provides instant feedback

With real-time conversation analytics insight, agents and supervisors benefit from prompt feedback for supervisors and agents, enabling immediate adjustments.

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