Hercesa to market AI homes after signing an agreement with startup eVoost for $860 million
The developer will use this technology to adapt its offers and prices to the emotional profile of its customers and increase its profitability.
Artificial Intelligence (AI) is gaining ground as a key tool in the transformation of the real estate sector. In this commitment to innovation, Hercesa has signed an agreement with eVoost, a Spanish startup based in Abu Dhabi, specializing in AI solutions for home buying and selling. Over the next three years, its technology will be applied in Spain and in the developer’s delegations in Portugal, Bulgaria and Romania, as part of a project that includes developments worth 860 million euros.
Hercesa will take advantage of this tool to adjust prices and offers to the profile of buyers, automate processes and improve profitability.
The signing of the agreement coincides with the closing of eVoost’s seed round, led by UAE-based venture capital fund Qora71. Founder and CEO, Cristian G. Pastrana, believes that this alliance will allow “consolidating a unique solution in the market” for being “emotional, automated and frictionless”. In the last year, eVoost has activated 197 units and signed contracts worth US$1.9 billion, thus strengthening its presence in Europe, a region it considers “strategic,” the company said in a statement.
Detect emotions to personalize offers
Hercesa will integrate eVoost’s technology to adjust prices and offers according to the emotional profile of each customer. “AI helps us combine market analysis with hyper-personalization, to capture how the buyer feels from the very first moment,” explains Carlos Álvarez, partner and spokesperson for the startup.
This personalization is achieved thanks to the DISC methodology, which classifies profiles according to the way they communicate. Virtual assistants interact in real time via web, WhatsApp, voice and social networks, asking questions about lifestyle and preferences. All that information is centralized in the developer’s internal system to then fine-tune the offer.
“We detect whether the customer is communicating with enthusiasm, doubt or security, and we respond according to their emotional state. We even analyze the emotionality in their voice, not just what they say,” adds Alvarez. At the end of the conversation, the client receives all the data in his WhatsApp to continue the process whenever he wants.
Pricing and anticipating demand
The startup eVoost also uses predictive models to adapt prices to demand: “If we anticipate that an area is going to have a peak in demand, we launch the offer earlier. If we detect saturation, we wait. It’s a way to maximize profitability for the developer,” says Alvarez. In addition, they analyze structured data (surface area, typology) and unstructured data (press releases, digital conversations) to identify the characteristics most valued by buyers in certain areas. “In some neighborhoods we discovered, for example, that users prioritize green areas and open spaces.”
But AI-based technology represents first and foremost a cost-effective solution for developers. As the spokesperson emphasizes, the startup has proven its effectiveness in previous collaborations in Spain. “We have achieved that four times more people interested in buying housing end up closing deals and buying real estate.”