The taxi and private vehicle hire sector, like most other service-based industries is under increasing pressure to remain competitive and secure bookings, win council and corporate contracts and cultivate repeat bookings to help ensure long term survival. Additional pressures are also placed on ad hoc business with the launch of online companies like minicabit who offer to automatically compare and present the quotes from local taxi companies within seconds for the customer to then select their preferred option. Customer service is increasingly becoming a key consideration, particularly when bidding to win contracts and with the advent of social media where customers can tweet in an instant about the good or bad experience they just had. Today’s taxi firm is becoming increasingly technology savvie according to ‘Private hire and taxi monthly’ magazine and many of the most successful firms are using technology to build a solid foundation on which to grow their businesses. Companies like Addison Lee understand this, using call recording technology to really get to the heart of what makes the ‘perfect call’ to a customer. The perfect call is not easy to come by as different customers want calls handled in different ways. However call recordings can help by replaying those exceptional calls and trying to replicate that success by encouraging dispatchers to use certain words or phrases in future booking related enquiries. Dispatcher training and evaluation The first experience a potential customer has with your firm tends to be with your taxi dispatch team. It is therefore imperative that dispatchers handle calls diligently and in a professional and effective way. The taxi market is highly competitive and a customer may hold no loyalty to a firm, so a badly handled call may be the deciding factor between one company and another. Being able to replay back recorded calls with telephonists or dispatchers whilst highlighting what was handled well and what wasn’t will inevitably lead to more competent staff and ultimately help improve your re-bookings rate. When evaluating staff, the discovery of badly handled calls enable supervisors to isolate call handling issues and arrange training accordingly. Fact Verification Where mistakes may occur with collection times, pick up points or destinations it can become very expensive to always give the customer the benefit of the doubt. Using recordings of the initial conversation can verify where the error occurred and again may identify a need for re-training amongst a particular staff member or could be used to highlight to a customer that they in fact provided the wrong information initially. Cut costs with more efficient taxi dispatchers For private hire companies keeping a record of the operator who took the booking and the booking details are compulsory. Where call recording is used these details are automatically captured and safely stored for future reference and can help demonstrate compliance. This can also lead to increased dispatcher productivity, as they spend less time logging bookings and concentrate more on answering calls and scheduling drivers. Do you know what’s driving away taxi bookings? Being able to identify what is preventing your taxi dispatchers from ending a call with a booking is vital, is it their lack of local knowledge, their demeanour or a lack of interest in the job? How will you be able to find this out without reviewing their call handling capabilities? For a no-obligation discussion on how the right call recording system can drive more taxi bookings, contact Business Systems. Written by: Jasveer Matharu
Blog 28 August, 2025 What is Conversational AI? A Beginner’s Guide to Smarter CX In today’s fast-paced digital landscape, businesses are under increasing pressure to deliver seamless and efficient customer experiences (CX). Customers expect quick responses, personalised interactions, and 24/7 availability. This is where Conversational AI comes in. By leveraging artificial intelligence (AI) and natural language processing (NLP), Conversational AI enhances customer service, automates interactions, and significantly improves operational
Blog 23 July, 2025 Mike Wardell Appointed Executive Chairman We are pleased to announce that Mike Wardell, former CEO of Business Systems Ltd, has transitioned to the role of Executive Chairman of both Business Systems and Wordwatch. This strategic move marks a significant milestone for both brands as they continue to strengthen their market-leading positions in customer contact solutions and communications governance and archiving.
Blog 16 July, 2025 Unlocking the Power of Conversation: How Interaction Analytics Is Reshaping Contact Centre Workforce Planning Contact centres are no longer just cost centres – they’re goldmines of actionable insight. And in 2025, forward-thinking customer contact leaders are discovering that the most untapped resource in their operations isn’t in headcount or tech—it’s the conversations they’re already having. Welcome to the era of interaction analytics. With the power to transform how you
Blog 8 July, 2025 From Hype to Impact: AI Strategies for Maximum ROI AI is revolutionising customer contact – but for many contact centres, the results aren’t matching the promise. Despite a surge in experimentation, too many organisations find themselves in “pilot paralysis”: high on potential, low on return. Contact centres need to adopt AI, but many are hitting the same wall: inconsistent ROI. Why? Because not all
Blog 3 June, 2025 Why Workforce Engagement is Key to Retaining Contact Centre Agents Call of Duty: Why Engaged Agents Stay in Contact Centres One repeat challenge our consultants see when we partner with new organisations is Agent retention. With increasing customer expectations, hybrid working models, and AI-driven efficiencies reshaping the contact centre industry, there is always an ongoing pressure for organisations to keep agents engaged and motivated in
Blog 15 May, 2025 How OpenAI’s o3 and o4 Mini Models are a major step forward in Conversational AI for Contact Centres The release of OpenAI’s latest large language models – o3 and o4 mini – represents a major step forward in the evolution of enterprise-grade AI for customer service. These new models are purpose-built to handle complexity, improve reasoning, and scale automation without compromising control or compliance. For contact centres looking to enhance customer experiences and
Blog 1 April, 2025 AI Agents in Contact Centres: Are You Ready for the Future? The Future of Customer Service is Here The contact centre industry is undergoing a significant transformation. Rising customer expectations, increasing operational costs, and workforce shortages are putting immense pressure on businesses to deliver seamless customer experiences while maintaining profitability. The companies that embrace AI agents today are the industry leaders of tomorrow – those that
Blog 10 February, 2025 What is Agentic AI and Why Does It Matter to You? Agentic AI is transforming contact centres by enabling systems to act autonomously, adapt to new situations, and proactively achieve goals – much like a human agent. But how does it differ from traditional automation, and why should contact centre leaders take notice? What is Agentic AI? Unlike rule-based automation, Agentic AI makes independent decisions, learns