The role of empathic AI in generating insights for emotional sales 

Carnival, Easter, holidays.There are many dates that have a direct impact on people's lives and, of course, also on sales flows. A beautiful example is Mother's Day, one of the dates that moves most online sales, and when consumption ceases to be only rational. It is guided by memory, affection, guilt, celebration and even absence.

It is in this historically subjective and difficult to measure territory that artificial intelligence begins to gain a new layer of relevance: data-driven empathy.In this sense, more than predicting behaviors, AI now begins to interpret feelings, and this completely changes the way brands sell.

During all the years I work in the digital ecosystem & e-commerce and marketplaces, the market has treated personalization as synonymous with efficiency: recommending products based on purchase history or navigation. But emotional dates, such as Mother's Day, require more. To be strategic in it, it is not enough to know what the consumer buys, you need to understand why he buys (and in what emotional state he is).

Empathic AI arises precisely in this evolution: crossing behavioral data, context and indirect signals (such as language, timing and interaction) to infer emotional intention. In this type of dates, there are recurrent and highly exploitable emotional patterns when well interpreted, being:

• The search for “presents who represent gratitude”
• Last-minute consumption fraught with emotional urgency
• Increased purchases for non-obvious maternal figures (grandparents, stepmothers, etc.)
• Sensitivity to narratives rather than price

Here AI can contribute and identify these patterns even before the peak, turning data into actionable signals. It is not, therefore, about reacting to demand, but anticipating it with depth and purpose. As you know, I like “mao in the”, so the practical application of this is not just in recommending products, but in redefining strategies:

• Communication more sensitive to context & Tone adjustment for different emotional profiles (celebration vs. longing, for example)
• Smarter curation & MORE intelligent curation & SUGGESTIONS that make symbolic sense, not just functional
• Timing of approach io Identification of the ideal moment to impact (before the decision or in the urgency)
• More coherent offers - Less focus on discounting and more on perceived value

Empathy, in this scenario, ceases to be an exclusive human quality, and becomes an analytical capacity and generates relevant insights. As in all aspects of life, there is, however, a critical point: when the attempt to empathize sounds too generic or automated, the effect may be the opposite. That is, the consumer perceives and rejects the brand. Therefore, the role of AI is not to replace human sensitivity, but to amplify it with scale and precision.

So before any step, you must understand that emotional sales require intelligence, not only technology. If before the emotion was intangible, today it begins to be modeled, interpreted and applied. And this does not mean reducing feelings to numbers, but use them as business intelligence.

At the end of the day, the brands that will stand out will not be the ones that automate the most, either,
but the ones that best understand what is behind each purchase. Because, especially on emotional dates, no one buys only one product.

*Mariana Mantovani is a specialist in Marketplace and E-commerce, and founder of Boost Marketplace, a company specialized in boosting and boosting sales results in the largest marketplaces in the market. With more than 15 years of experience in the digital ecosystem, Mariana has always worked in reference companies such as Netshoes, Electrolux, Mercado Livre and RD Health, focusing on e-commerce, marketplaces, leadership of performance teams, and business development.