Recent research shows that a large share of consumers now prefer resolving questions through chat rather than waiting in line for phone or email support. The pet industry is following the same trend: AI-powered chatbots are no longer a novelty—they have become an expected part of the online shopping experience.
According to entrepreneur Hugo Galvao de Franca Filho, founder and director of Enjoy Pets and a marketplace specialist, the problem is not the technology itself but the rushed way many pet businesses adopt it. Implementing a chatbot without proper planning often creates more friction than it eliminates, and certain mistakes continue to appear with concerning frequency.
Treating the Chatbot Like a Static FAQ
The most common mistake is configuring fixed answers for fixed questions, as if the chatbot were simply an automated version of a frequently asked questions page. This approach works for basic inquiries about business hours or delivery times, but it quickly breaks down when a pet owner asks a more specific question about their pet.
A high-quality pet customer service assistant needs to understand context—not just keywords, Hugo Galvao explains. Without that capability, customers feel like they’re talking to a robot in the most frustrating sense of the word, and they often abandon the conversation before completing their purchase.
Failing to Integrate the Chatbot with Inventory and Purchase History
Even the most polite chatbot is of little use if it recommends a product that’s already out of stock or suggests something the customer purchased just a week earlier. These problems occur when the customer service platform operates separately from the systems that manage inventory and order history.
Hugo Galvao de Franca Filho emphasizes that integrating customer service, inventory, and customer data is what transforms a chatbot from a technological novelty into a genuine sales tool—a principle reflected in Enjoy Pets’ work at www.enjoypets.com.br. Without that connection, automation simply shifts the problem instead of solving it.
Ignoring Each Pet’s Unique Needs in Product Recommendations
Food, size, age, and dietary restrictions vary significantly from one pet to another. A chatbot that recommends the same generic product to every pet owner misses the very advantage artificial intelligence is supposed to provide: true personalization based on data the customer has already shared through previous purchases.
When this information isn’t used, pet owners quickly realize they’re receiving the same scripted responses as every other visitor to the website, and the feeling of personalized service disappears.
Eliminating Human Support Entirely
Automating every interaction without providing a way to reach a real support representative is another common mistake. Some situations—such as handling a sensitive complaint or answering questions related to an animal’s health—require human judgment, and insisting on automated responses only frustrates customers who are already dissatisfied.
Hugo Galvao de Franca Filho believes the most effective model combines automation for handling high volumes of repetitive questions with a seamless transition to a human representative whenever the conversation moves beyond the chatbot’s capabilities. Businesses that maintain this safety net are more likely to preserve customer trust, even when something goes wrong during the initial interaction.
What These Mistakes Make Clear
None of these mistakes stem from bad intentions; they result from the rush to adopt new technology before carefully planning how it should function within the business. An AI-powered chatbot is not a substitute for a customer service strategy—it simply scales a strategy that has already been thoughtfully designed.
Hugo Galvao notes that pet businesses that avoid these common pitfalls are more likely to achieve what the technology promises: faster responses, more relevant recommendations, and fewer customers waiting for assistance. Those that jump straight into automation without this level of preparation often discover the cost of taking shortcuts months later, when customer support generates complaints instead of sales.
