AI can lower expenses and boost retail profits during peak times, according to Zendesk’s Chief Technology Officer.

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- Artificial intelligence (AI) enhances high-demand retail management by preserving customer service levels without increasing expenses.
- AI tools are taking on more requests, which helps to enhance operational efficiency and lower costs in situations with narrow profit margins.
- AI agents help manage fluctuations in demand by serving as a stabilizing force during busy times.
- AI automates repetitive tasks so that teams can concentrate on more advanced services without replacing professionals.
- After-sales is important for how customers view a company, and artificial intelligence can minimize unnecessary interactions and enhance satisfaction through proactive updates to the customer.
- AI implementation leads to financial benefits by cutting down on administrative expenses and enhancing companies’ profitability metrics.
- The technology is replacing a portion of the traditional service model that used to rely on hiring additional staff.
- Companies generally experience a favorable financial situation by reducing expenses related to manpower and increasing investments in technology.
Artificial intelligence has become increasingly integrated into corporate strategies, extending beyond just automating tasks.
Technology is becoming increasingly essential in retail for handling busy periods like the World Cup, Black Friday, Christmas, and other seasonal events. This helps companies uphold customer service levels without significantly increasing operational expenses.
Reducing costs while maintaining customer satisfaction is a key challenge for large retailers in a challenging economic environment.
Artificial intelligence tools are seen as a solution in this scenario to manage growing demand and enhance operational effectiveness.
Service operations are frequently adjusted to accommodate companies’ daily needs, posing a continual challenge during peak periods, as stated by Walter Hildebrandi, Zendesk CTO for Latin America.
AI agents are ideal for managing seasonal fluctuations, whether expected or unexpected, as they can handle increased demand without straining the existing operation. They act as a buffer to ensure smooth service delivery even during peak demand periods.
Temporary recruitment may not be the answer in all cases.
Large retailers traditionally used temporary hiring to strengthen their teams during special occasions.
While this approach is still in use, it requires expenses for hiring, training, and adjusting to new staff, along with a limited timeframe for implementation.
Artificial intelligence helps by automating repetitive tasks and handling some of the increased demand without needing more employees.
The executive clarifies that technology is meant to take over operational tasks, allowing professionals to concentrate on more advanced services.
After-sales services play a crucial role in shaping the overall consumer journey.
Companies often overlook the importance of after-sales service in how customers perceive them, according to specialists.
The consumer’s online shopping experience mainly occurs after confirming the order, particularly during the delivery tracking process, as per his statement.
Practically all of the consumer’s experience occurs during the after-sale phase when questions may arise about billing, payment approval, order processing, shipping, and delivery.
Keeping the customer informed during this process can minimize the need for additional interactions with service centers and enhance satisfaction levels.
AI has the potential to enhance financial gain as well.
The integration of artificial intelligence not only enhances customer satisfaction but also leads to financial benefits for businesses.
A more effective operation decreases administrative expenses and enhances profitability metrics, as stated by Hildebrandi.
Automating some activities in a service operation with a thousand employees can lead to cost savings and improved profitability, according to the speaker.
Companies can achieve the same service level at a lower operational cost, which significantly affects the executive’s evaluation, especially on the bottom line of the balance sheet.
Technology is replacing certain aspects of the conventional framework.
The Zendesk CTO mentioned that service operations have traditionally expanded by increasing staff numbers, but this approach is now evolving.
Companies used to grow by hiring more employees in the past, but with the introduction of artificial intelligence, they are now reducing their workforce and focusing more on technology. However, the total costs of these changes are expected to be lower than in the past.
Hildebrandi thinks that companies are likely to have a favorable financial outcome despite the rise in investments in digital platforms and artificial intelligence.
In industries with high customer service demand.
Technology should play a larger role in the future, especially as companies aim to enhance operational efficiency, cut costs, and enhance the customer experience in a highly competitive market.
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