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SoftwareOne case study

Porta da Frente is the foremost luxury real estate broker in Portugal. The property photographs on its site are a crucial resource and mostly shot by professionals. However, these photographs are untagged, which means that content errors in the CRM are not always identified. Sales consultants do not have the bandwidth to tag individual photographs, so a way has to be found to automate this process. Using AI and adapting a Large Language Model, SoftwareOne (formerly Crayon) prepared a PoC that showed automation could be surprisingly accurate and consistent. SoftwareOne also leveraged its deep knowledge of AWS services to get funding for the project, which made this a win-win for Porta da Frente.
Challenges
Project Summary
Business Benefits
Porta da Frente Christie’s is the foremost luxury real estate brokerage firm in Portugal. With a team of more than 100 professionals based in offices in Lisbon, Cascais, and Oeiras, Porta da Frente specializes in providing the top end of the market with a comprehensive white-glove service enhanced by a technology infrastructure unmatched anywhere in the sector.
The broker has reported that leads generated by a recently implemented AI agent have so far yielded $100m in home transactions.
“We have traditionally been very focused on technology as a way of giving more value to our clients,” says Rui Coelho, CTO at Porta da Frente, “and it was this that led to our discussions with SoftwareOne about how we could leverage AWS services to further improve our product and our service.
“SoftwareOne is our cloud service provider with impressive FinOps capabilities to monitor and control AWS usage and spend. But we have a relatively small cloud footprint and are pretty much optimized already. I was much more interested in getting SoftwareOne to resolve a problem that I was not sure could be successfully resolved.”

SoftwareOne far exceeded our expectations both in the outcome and the execution of the project.
CTO, Porta da Frente
The issue was the automated tagging of the many thousands of photographs Porta da Frente publishes on its website.
“These photographs are mainly taken by professionals because we dominate the high-end of the market, and our clients – the sellers – expect to see their properties portrayed in the best possible light. These photographs are a vital and expensive resource, yet we never tagged them. We uploaded them into our CRM without ‘telling’ the system what they were: a bathroom, a balcony, a patio, a fireplace, and so on. We felt that doing this manually would be too time-consuming and take our salespeople away from what we want them to be doing.
“I wanted to find a way to automate this process,” explains Coelho, “but I was never convinced this would be feasible to a standard where it was useful to the business. Fortunately, I was mistaken. The Proof of Concept delivered to us by SoftwareOne showed that automated tagging was possible to a degree of accuracy that frankly startled me.”
The outcome and experience of the project far exceeded Coelho’s expectations both technically in what was delivered but also operationally in how SoftwareOne ran and structured the PoC, and – crucially – persuaded AWS to fund the work.
“My skepticism about the outcome of the PoC was clearly a barrier to commissioning a project of this nature,” he continues, “but SoftwareOne stepped up and leveraged its deep knowledge of the bureaucratic ins and outs at Amazon Web Services, as well as personal relationships within AWS, to get us the funding and remove this obstacle.”
SoftwareOne finetuned an AI foundational model to optimize the accuracy of automatically extracting from the images the keywords that described them. These keywords are placed as a separate text file – and can be uploaded to the CRM in this form, “although we haven’t done this integration yet,” Coelho adds.
The project took a month to complete and established that automated tagging would be viable as a business application, integrated with Porta da Frente workflows and systems. The next step in Coelho’s initiative is to get the green light to productize the Proof of Concept for an MVP to be piloted with the sales consultants.
“The PoC points to a solution for two problems,” Coelho explains. “The photographs ‘describe’ a property as it really is, but other information in the CRM may not always be correct. Property details are entered manually into the CRM, and this is prone to error. For instance, if a sales consultant fails to input that a property has two bathrooms, our website will list it as having zero bathrooms when the photographs tell a different story. Automated tagging will flag up these inconsistencies and ensure we publish a property correctly in all its details.
“So one issue is internal, making sure that the information in the CRM is filled correctly, and the other is to present that information to the interested buyers that visit our site. In terms of SEO, and in the way portadafrente.com is presented to browsing portals, having that data creates a richer experience.
“What will also improve is customer satisfaction. Our clients are – rightly – very demanding about how we present their properties and are quick to complain if they are unhappy about anything. And so with this project and this improvement on the data accuracy, we can anticipate some of those problems and try to minimize them. And that ultimately leads to better customer satisfaction.”
Coelho is grateful that SoftwareOne championed the project with AWS and prepared the ground for its next phase.
“Thanks to SoftwareOne I will engage in discussions about the MVP with clear and convincing evidence that it will work. I will also be able to set out and explain the costs of the MVP phase based on figures prepared by SoftwareOne. This is very important – to management, first of all, who won’t commit to anything unless they have a clear view of the cost implications, but also for me personally because I have had a few unpleasant surprises in the past. With SoftwareOne, the work and what that work will cost is 100% transparent.
“The scope of this project was fairly straightforward, but it did the job of convincing me that automatic tagging was feasible – something that I had doubted. I know that SoftwareOne has much more up its sleeves in terms of tagging the photographs in richer detail, and I look forward to making progress with our MVP.
“The start of our journey with SoftwareOne has far exceeded my expectations,” Coelho concludes, “so I am determined for this collaboration to continue as we continue to position Porta da Frente as the most technologically smart real estate broker in Portugal.”
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SoftwareOne is Porta da Frente’s cloud provider for AWS. In 2024, the real estate firm sounded out SoftwareOne about leveraging AWS services to set up a Proof of Concept around the automated tagging of photographs for the Porta da Frente site and third-party portals.
The credentials of SoftwareOne’s Data & AI capabilities were never in doubt but Porta’s CTO was skeptical about the viability of a successful PoC and, further down the line, a business application to boost customer satisfaction.
When SoftwareOne went above and beyond to assure funding from AWS, the short project went ahead. Its outcome far outstripped expectations and the next step is to productize the PoC. With the thoroughness and professionalism that marked the entire project, SoftwareOne provided Porta da Frente with transparent and accurate costings for this MVP.
Porta da Frente Christie’s is the foremost luxury real estate brokerage firm in Portugal. With a team of more than 100 professionals based in offices in Lisbon, Cascais, and Oeiras, Porta da Frente specializes in providing the top end of the market with a comprehensive white-glove service enhanced by a technology infrastructure unmatched anywhere in the sector. In its determination to continuously improve its technology posture, Porta da Frente wanted to see if it could automate the tagging of the many photographs of luxury properties it lists on its site and on third-party portals.

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