For a long time, customer service was treated by retailers as a containment area, focused on reducing queues, lowering average handling times, and closing tickets. This logic helped organize high-volume operations, but it also left a significant loss hidden within companies. Every call, message, or chat carries signals about delivery delays, product defects, website failures, inventory problems, legal risks, and sales opportunities. When retailers view customer service solely as a cost, they waste one of the richest sources of operational intelligence they already possess.
This loss of intelligence becomes clearer when observing the advancement of public complaint platforms. Consumidor.gov.br, maintained by the National Consumer Secretariat, allows users to register complaints, track company responses, and consult indicators by segment, subject, problem reported, and supplier performance. According to the Ministry of Justice and Public Security, registered companies have up to ten days to respond to complaints, and the records help map the main consumer conflicts in the country. The conclusion is clear: while many companies still treat customer service interactions as isolated operational records, some of this data is already being organized externally as a public indicator of quality, risk, and reputation.
This trend should raise a red flag for retailers. A complaint about delivery delays might reveal a logistical failure in a specific region. A series of exchange requests could indicate a recurring defect in a particular batch. Repeated messages about payment difficulties might point to a loss of conversion at checkout. Comments about confusing customer service might show that the company is poorly training its frontline staff. The problem is that, in many operations, this information remains trapped in recordings, loose transcripts, manual classifications, and reports that arrive too late to influence decisions. Customer service registers the symptom, resolves part of the discomfort, and rarely quickly informs the rest of the company.
Efficiency in customer service remains relevant in high-volume operations, especially when it involves average handling time (AHT), service level, and cost control. The problem arises when these indicators come to represent the entire value of customer service, as if a quickly ended call signifies a well-resolved experience. Often, a brief contact hides a dissatisfied customer, a lost sale, or a recurring operational failure. It is at this point that conversational intelligence changes the role of the area, allowing for a comprehensive analysis of interactions and the identification of sentiment, behavior, intent, and recurrence. According to ISG Provider Lens, AI-based tools help contact centers better understand consumer reactions and open up opportunities for retention, cross-selling, and upselling.
Competitive advantage arises when a company stops treating conversations as mere operational records and starts treating them as strategic data. According to Forrester, insight-driven businesses grow, on average, more than 30% annually, precisely because they incorporate data and analytics into product, service, and operational decisions. The difference lies in the ability to transform volume into understanding. In retail, this means understanding why a promotion generated complaints, which region has the highest concentration of delivery problems, which products create the most friction in post-sales service, which arguments improve conversion in transactional customer service, and which legal risks emerge before becoming formal notifications.
The customer service department of the future will be less of a call-closing center and more of a continuous business radar. Companies that manage to connect service, data, and decision-making will have a much more precise view of what happens after the purchase, where the experience breaks down, and how each failure impacts margins, reputation, and repeat business. In retail, listening better has ceased to be a gesture of care for the customer and has become a management discipline. The company that learns from each interaction improves its operations before the competition, corrects problems before the crisis, and transforms service into intelligence to grow with greater predictability
*Wanderly Limeira is Head of Products and Innovation, responsible for the development of HVOICE, and executive director of HVAR, with almost 30 years of experience with companies focused on innovation and digital products.
