
digital customer service,
digital transformation,
Published on Thu May 15 2025
Updated on Fri Aug 08 2025
5 minute read
As technology advances, digital customer service has become a major part of how businesses interact with their customers. It provides an efficient and convenient way for businesses to interact with customers and help them get the answers they need quickly. From omnichannel solutions to improve the customer experience to AI-powered training to produce amazing agents, digital customer service can be implemented almost anywhere. In this article, we will take a closer look at what digital customer service, why it's becoming so important, and how you can firmly step into the digital age with the use of a trusted partner.
As more companies shift to digital customer service models, they are utilizing voice and text analytics to measure agent performance. Analytics offers insights into the customer experience by analyzing conversations between agents and customers. This data can be used to identify areas of improvement in an agent's technique, as well as to identify any irregularities or outliers among the team that could indicate training or coaching opportunities. Additionally, voice and text analytics can be used to compare agents against each other in order to identify best practices and share them throughout the team.
Analytics also enable companies to measure customer satisfaction with their services more accurately than ever before. By analyzing conversations between customers and agents, companies can quickly identify areas of dissatisfaction that need to be addressed. Furthermore, this analysis can be used to create customer satisfaction indices that are tailored to specific industries or services.
Finally, voice and text analytics can detect patterns in customer behavior that might indicate any problems with the company's services or processes. This data can then be used to refine and improve upon existing customer service models and strategies.
The customer service industry faces two main and major problems. The first one is the cost of training new agents. You have to spend time and money in order to prepare candidates as best as you can so that they are ready and able to help your customers as best as they can. This process, as we all know, is very costly.
The thing that has changed the most about customer service is that customers set the channels through which they want to contact you. It used to be only via telephone. That soon expanded to email and chat. Now customer service channels are present on instant messaging apps and social media.
The issue here is that when you have all these channels it is easy to create a chaotic environment where channels work independently. This means that customers can contact you on one channel, explain their issue, and then later contact you on another channel and have to repeat the process. That’s why a multichannel approach can sometimes lead to lower CSAT than a singlechannel approach.
To battle this Transcom has created an omnichannel approach that combines the versatility of multichannel with the clarity of data of singlechannel. This system allows agents to view the conversation and query history of a customer at a glance which means less time spent waiting on line for the customer and faster problem problem resolution.
Another way to provide 24/7 customer support is by using translation. Tools like Transcom’s AI-powered translation solution - Automated Translation - are a lifesaver. Automated Translation gives your agents the superpower of omnilinguality, that is, the ability to speak any language. How?
By utilizing the power of AI we provide your agents with near-instant translation in over a hundred languages, and with an accuracy of 97% your customers will be none the wiser that they aren’t speaking with a native speaker. All of this leads to higher CSAT because it has been proven that customers highly value being able to use their mother tongue when communicating with customer support.

Created at Tue May 19 2026
5 min read
While the world buzzes about the transformative power of artificial intelligence, a closer look reveals diverging paths in its adoption. The US is a research powerhouse, home to the generative AI breakthroughs. However, a different narrative is unfolding elsewhere, particularly in how these advancements are being integrated into the broader economy. Innovation doesn’t follow a single path. How AI evolves - and how we choose to integrate it - will shape industries, communities, and opportunities
Something that doesn’t help this fact is the high level of attrition that the BPO industry faces. Call centers can go through thousands and thousands of agents, and each new agent is an additional expense. The solution to this would be to have agents that don’t quit. And the answer to that is to prepare them for the realities of the work better than before.
That’s where ADA comes in. Our Agent Development Accelerator is here to help you more successfully train better agents and do it fast. ADA is our AI-powered customer simulator that’s able to produce very nuanced and complex personas with very specific end goals that aren’t immediately apparent. This means that your agents can skip roleplay in their training and basically jump straight into real problems and conversations but without any of the real-life repercussions if they happen to do badly.
As if ADA didn’t sound good already it also sports robust analytics tools that can help you find exact painpoints in your agent’s performance. Meaning that it can be used not only to create amazing agents but to also improve your existing ones.

Fear not, we’re not about to forget about your agents and leave them hanging after all of the analysis and training. We believe that consistent and regular feedback is key to agent success. That’s why we use platforms such as T:Perform. It’s here to provide managers and team leaders with a tool to provide agents with feedback, care, coaching, and recognition by transparently tracking performance.
Tools such as this lead to a better agent experience which, in turn, leads to both increased agent satisfaction and customer satisfaction. We have also designed our performance tools to be viable in both office and work-at-home situations.
Another amazing thing about Automated Translation is the fact that it can do this in both text and voice by using AI voice models. This means that it can be integrated into your agents’ workflow without issue because it does everything with a single click and that it can be easily integrated into your omnichannel strategy due to it’s versatility and ability to provide transcripts of conversations so that your agents don’t have to remember details or ask the customer to repeat them.
There is also a way to help your customers without using agents. This way also decreases the load on your agents, provides fast resolution, increases first resolution rate, and improves customer satisfaction all at the same time. This tool is chatbots.
A well-implemented chatbot can help customers with their more simple queries and questions which frees up your agents to work on more complex tasks. This also increases agent satisfaction because they don’t feel like they’re wasting time on menial tasks.
Apart from this chatbots also improve routing by connecting the customer to the perfect agent for the job. This further improves CX and CSAT which makes everyone happy.

Created at Thu May 14 2026
3 min read
A few days ago, industry leaders gathered in Milan at the Excelsior Hotel Gallia for the Task Force Italia AI, Cybersecurity & Digital Transformation National Day. As the CEO of Transcom Italia, I had the privilege of chairing the roundtable: "Customer experience and AI: new tools for organizational culture and business growth". The dialogue, spanning across diverse s

Created at Wed May 13 2026
5 min read
Who can the world’s most ambitious brands trust for tech-enhanced CX that delivers? Separating trend-followers from those forging impactful solutions, Frost & Sullivan identified Transcom as a 2026 Technology Innovation Leader in both North America and Asia-Pacific. This recognition reflects a shift in how AI is evaluated in CX. It’s no longer about pure capability - it’s about ensuring that tools enhance real operations to boost efficiency and loyalty alike.
This makes all the