The retail sector is an increasingly challenging – and challenged – environment. As technology companies and AI-driven solutions continue to raise the bar, customer expectations are higher than ever, centred around faster resolution, more personalised service, and a seamless, integrated omnichannel experience. But the traditional contact centre environment and the tools agents rely on haven’t evolved at the same pace, creating a hole in customer experience.
In some contact centres, agents take calls, manually record notes and move on to the next, leaving little time for review. Each conversation contains crucial information, but in a high-pressure environment, capturing it accurately is often the first thing to drop off.
The manual recording and note-taking process means information is incomplete at best, biased at worst, and likely a cost that delivers less benefit than it should.
Chief Customer Officers use these notes to understand what’s happening across their contact centres and make strategic decisions on how to improve their customer experience. If they don’t have reliable access to this data, it can be a huge blind spot – but it’s one that's entirely avoidable with the right approach.
That’s why CX leaders are increasingly looking to AI to keep up with customer expectations. But rather than replacing agents, AI should empower them.
That’s why we’ve created Probe OS – an operational intelligence platform already deployed across some of Australia's largest retailers. Probe OS is transforming the retail contact centre through three core AI-driven capabilities that address these critical challenges specifically.
1. Anomaly detection – catching problems in minutes, not weeks
For retailers managing complex, fast-moving operations, speed to insight is often the difference between a minor issue and a customer service crisis.
A product recall, a broken discount code or logistics failure can trigger a huge spike in contact centre volume. The faster you can identify, understand and resolve an issue, the less impact it will have.
AI-powered anomaly detection uses machine learning to monitor call volumes, sentiment, and interaction categories against baselines. The system uses dynamic thresholds to account for seasonal changes or promotional cycles, meaning instances of “false positive fatigue” – a major friction point in industrial AI deployments – are also avoided.
When something does deviate from normal patterns – for example, a spike in a particular call type or a sudden drop in customer sentiment – it flags it immediately, allowing managers to reallocate resources, update messaging or advocate for operational change in real time.
One major Australian retailer, supported by Probe CX as its trusted partner, experienced an immediate issue when a promotional code attached to a marketing campaign broke. With dozens of codes running simultaneously, isolating the faulty one through conventional means would have taken weeks.
Probe OS flagged the issue within 30 minutes, enabling it to be escalated to the digital team and resolved. Without this intervention, the faulty code would have meant the contact centre team was dealing with hundreds of complaints over the following weeks, and the retailer’s brand equity would have been impacted.
2. Conversational metrics – the eyes and ears of the retail contact centre
A retail contact centre can respond to thousands of calls in a single day. Until recently, insights and reporting depended on partial, subjective agent notes, with managers attempting to join the dots on what they mean hours, days or weeks later.
AI-powered conversational metrics are changing that. By analysing 100 per cent of interaction transcripts, Probe OS automatically categorises every call with consistent, granular tagging across 100 or more distinct categories to identify specific friction points reported by customers. This means any business decisions made using contact centre reporting are now based on 100 per cent accurate data.
Managers also gain real-time summaries of each customer interaction, making issues and trends instantly visible, without waiting days for a report or relying on anecdotal feedback – by which time it is often too late.
When one retailer's contact centre identified a recurring pattern of delivery enquiries, the root cause turned out to be a lack of customer awareness about receipt requirements. The contact centre was able to pass this on to the digital team, who updated the website messaging. Complaints dropped from 50-60 per week to one or two, effectively saving the centre more than three hundred hours in call time.
3. Eliminating blind spots – 100% operational governance
Quality management is a crucial function in every contact centre. It shapes coaching and training of soft and hard skills like empathy, professionalism and process adherence. That feedback feeds into coaching, training, performance management and regulatory compliance.
Most quality management teams can only review around one per cent of interactions, meaning 99 per cent of information is lost to manual processes. Managers’ understanding of agent behaviour and any required training investment is based on a tiny sample.
Probe OS removes this constraint by automatically evaluating every interaction against defined criteria and soft skills visible within the call transcript that would traditionally require manual review, including detecting compliance issues.
Agents receive fairer, more comprehensive performance data and ultimately serve customers better, while managers can access individual and centre-wide views of quality.
These innovations – anomaly detection, conversational metrics and automated quality management – are unique to Probe CX-operated contact centres. They’re an invaluable source of intelligence for retail organisations, providing invaluable insights for marketing, logistics, IT and product teams, and closing operational gaps that previously went undetected for weeks or months.
By deploying these technologies into our contact centres, Probe OS has created a powerful feedback loop that results in a measurable reduction in cost per resolution across the whole organisation – not just our contact centres.
Rather than asking retailers to leap straight into fully autonomous agentic AI before the right foundations are in place, Probe CX designed Probe OS to “keep humans in the loop” and provide the necessary data foundation critical for safely deploying agentic AI. Probe OS integrates within existing contact centre environments within days or weeks rather than the months or years traditionally associated with digital transformation – and customers can still talk to a human to solve their problem.
Organisations that are still making decisions based on one per cent of the available data and discovering problems days after they occur, are losing their competitive edge. Contact centre data doesn’t have to be a lagging, incomplete record – it should be a live strategic asset.
To understand how Probe OS can improve level of service for customers, reduce unresolved issues and strengthen compliance in your contact centre, contact Probe CX today.
