AI Accurately Personalizes Customer Journey, Maximizes ROI

Q: How has MUTT Data evolved since its inception to become a leader in AI and ML services?

A: The market, in Latin America and beyond, is not fully aware of the fundamental need for a strong data engineering core every data team has to be truly impactful  . When we started the company, we felt that companies did not fully grasp that data teams needed to build robust data platforms to be able to extract true value from their data. While analysts were generating reports for decision-making, companies did not focus on building the infrastructure needed to fully use data.

Our vision was to combine data engineering and data science skills to build modern data platforms with ML models to optimize business processes. These systems often operate with a certain level of autonomy. Over time, we have expanded our services beyond just data platforms to include marketing and digital personalization, particularly in e-commerce and fintech. These sectors generate vast amounts of data, and need efficiency in their margins. 

Q: What industries are most interested in the adoption of AI technology, and what solutions do you build for them?

A: We have seen significant interest in sectors like e-commerce and fintech. Fintech, in particular, is booming in Latin America due to the high levels of investment and competition in the space. For fintechs, we build scalable, cloud-based data platforms that comply with regulations. We also help them design and implement the architecture they need to support their growth.

In retail and e-commerce, we have developed models for demand forecasting, order prediction for shipping optimization, and stock distribution across warehouses. We also work on optimizing paid media strategies, ensuring that companies can measure the return on investment across multiple channels, which is critical for omnichannel businesses. We use ML models to generate promotions and discounts, and determine whether a discount should be applied universally or segmented based on customer profiles.

Q: How does MUTT Data integrate its services with its clients' existing systems?

A: We work closely with clients to enhance their technical capabilities. If they already have systems in place, we improve them, and if they do not, we help build them. It all depends on the data they have captured so far. In e-commerce, companies usually have a good system for capturing detailed data. However, many lack a well-built customer data platform (CDP) to unify the customer’s profile across different channels like web and app. This is an area we help them build and optimize.

We act as the bridge between our clients' technical data teams and their business units. This alignment is crucial because our builds need to be supported by their data teams, while also delivering measurable business results.

Q: How is AI transforming the way companies allocate their advertising budgets for maximum ROI? 

A: AI is revolutionizing how companies allocate their advertising budgets for maximum ROI by enhancing measurement with both marketing mix modeling and data driven multitouch attribution. The traditional approach of attributing a sale to a single touchpoint, like the last click, was limited and often inaccurate, missing the broader customer journey across multiple channels. AI now allows companies to create more comprehensive models that capture and analyze data from all touchpoints.

With AI-driven multitouch attribution, companies can better understand what marketing touchpoints bring incremental results in the entire customer journey by considering every interaction a customer has with a brand, whether through ads, social media, or other channels, before making a purchase. Similarly, AI-powered marketing mix modeling helps businesses analyze historical data across both online and offline media channels to identify which have the most significant impact on sales. Companies can then implement real-time testing and continuous optimization programs to adjust their strategies dynamically. This both maximizes income and reduces testing costs. For example, we developed a solution for Mercado Libre's Display Ads platform, resulting in a 25% increase in click-through rates across Latin America compared to the average display ads not generated by GenAds.

Q: How will data marketing, AI, and ML contribute to more personalized customer experiences in industries like retail?

A: MUTT Data started with marketing because it is an area where the data is already digitized. Most of the platforms that are commonly used in marketing are digital by nature, but we also noticed that traditional retailers are increasingly moving toward digitalization. This shift allows us to use detailed information, such as customer profiles, to build models that can automate business optimization. That is what excites us about the future.

Q: What are MUTT Data’s goals for the end of 2024 and the beginning of 2025? 

A: Our initial goal for 2024 was to have 105 people on our team, and we have already reached 130. We have more than doubled our revenue this year, far surpassing our expectations. We have been focusing heavily on expanding our commercial presence in Mexico, particularly through our key partners, such as Amazon Web Services (AWS), Databricks and H2O.ai, with whom we are collaborating on several accounts. Our partners play a significant role in our growth, especially as we expand our presence in Latin America and eventually the United States. We are also working through other commercial processes, primarily in fintech and retail. Our main clients in Mexico include Clip,and other large companies.

MUTT Data is a tech company that uses data, AI, and ML to boost its clients’ revenue and conversion rates.