Contact centres handling high volumes of calls inevitably produce huge quantities of data, and businesses are increasingly focusing on new ways to capture and utilise this untapped wealth of information.
While the aim is usually to maximise efficiency and reduce costs, businesses can simultaneously improve the customer experience, which leads to increased sales and revenue. To do this, they must first understand their customer interactions. Businesses seeking to use their system data to improve customer care and provide a more proactive service are turning to Natural Language Processing (NLP) and BigData analysis to gain critical insights and optimise their call centre operations. This process begins with speech recognition.
Machine learning – understanding humans
Sentient Analytics investigates how to improve the customer experience by analysing callers’ sentiments and emotional shifts – after transcribing the voice file, it interprets any hidden meaning. The software can even highlight customers who are about to leave the call in real time, sending the agent an alert telling them why.
“It’s a win-win for businesses,”
says Dr Danica Damljanovic, CEO and Co-Founder of Sentient Machines.
“By recording, analysing and therefore understanding more about call centre interactions, the business can offer customers an improved, personalised journey leading to less turnover, while also gaining valuable insights into weaknesses in their processes, along with real-time information which can increase sales conversions.”
Maximising data value and business benefits
To achieve this, Sentient Analytics requires a high quality transcription solution.
“We shortlisted 3 companies before choosing Speechmatics,” says Dr Damljanovic, “We need reliability and precise results, and we need them in real time. Speechmatics is fast, accurate and clearly identifies each participant – it was by far the most robust solution for conversations featuring different accents.”
After converting Sentient Analytics’ call analysis into data-driven business decisions, customer care can be improved with personalised agent training, while call centre operations can be optimised, highlighting anomalies and saving time by replacing manual intervention in quality assurance.
“Our mission is to create the next breakthrough in natural language understanding,”
says Dr Damljanovic,
“Speechmatics’ ASR is helping us to reach that goal by providing fast, precise bulk call transcriptions, which can be analysed to provide actionable insights for our customers. We are currently working on some exciting pilot projects which are leading to more streamlining and increased revenue for the businesses involved – we are really excited about the future of this technology.”