At TPS, we are using AI where it matters: helping customer queries move from inbox to action faster, with the right team members involved from the start.
Customer service is about understanding the issue, knowing where it belongs, identifying who needs to act, and making sure nothing gets lost between teams. We believe good customer service is more than just replying to messages.
That is why we are taking a practical, focused approach to artificial intelligence. Rather than applying AI broadly for effect, we are using it in targeted parts of the customer journey where it can reduce friction and improve responsiveness.
One area we have been developing is intelligent query handling. When a customer raises an issue, AI can assess the context, recognise whether follow-up work is required and support the creation of internal actions for the right team. This helps move queries beyond simple inbox management and into a structured workflow.
The benefit is simple: less manual triage, faster movement from customer query to internal resolution. Instead of relying only on someone spotting, interpreting, and forwarding a message, the system identifies the work that needs attention and keeps it connected to the relevant customer record.
For our teams, this means customer issues can be tracked more clearly, assigned more efficiently, the response process and actions are clearly visible. For customers, it means queries reach the right people sooner, without delay caused by manual sorting or unclear ownership.
Our approach is designed to help interpret context while keeping the team in control of decisions and communication.
We cannot replace the human expertise of our teams, but we can support it. AI can help identify and organise the work, but experienced TPS staff remain responsible for judgement, prioritisation, customer updates, and final resolution.
“AI is most valuable when it removes friction from real processes,” said Daniel Brown, CTO at TPS.“ For us, that means helping customer queries become clear internal actions faster, while keeping our teams in control of the outcome.”
This forms part of TPS’s wider commitment to a smarter, more responsive service. By combining AI-assisted classification, structured internal workflows, and human judgement, we are building a more efficient way to manage customer queries without losing the accountability, care and communication we pride ourselves on.
As consumer expectations continue to rise, TPS is focused on making sure its service model keeps pace. AI is helping us move faster, but the goal remains straightforward: understand the customer’s need, get it to the right people, and resolve it clearly and effectively.
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