At DaisyLabs, we develop and implement advanced solutions in the field of Data Science.
Our team focuses on researching and developing innovative algorithms and technologies, providing an intelligent component to business processes, and supporting business decisions through the output of implemented models.
Some of the solutions we’ve implemented include:
At DaisyLabs, we strongly believe that collaboration is a catalyst for impactful change.
Our work is a synergy of diverse inputs – from client projects, our in-house R&D initiatives, and academic partnerships with universities.
We work closely with our clients to understand their needs and challenges, and we tailor solutions to meet those needs.
Our team of experts uses cutting-edge technologies and methodologies. We’re committed to delivering top-tier, innovative solutions that drive business growth and success.
By partnering with DaisyLabs, your organization can leverage the power of Artificial Intelligence and Machine Learning to enhance operational efficiency and facilitate informed decision-making.
Our solutions can help you categorize data, forecast trends, analyze text, and optimize resource allocation, among other benefits.
See how we help our clients make a difference.
Optimizing Public Transportation Services with Artificial Intelligence & Machine Learning
The Client.
A leading provider of public metropolitan services, operating an extensive network that includes buses, trams, and subway lines on a national and international scale.
The Challenge.
The company needed to predict passenger flows across the entire subway network. This was crucial for planning service schedules, ensuring the proposed exercise program’s effectiveness, and preventing potential queues.
Our Solution.
DaisyLabs’ Artificial Intelligence & Machine Learning division developed a simulation tool to support service planning. This tool provided detailed information to verify that the service demand was met while simultaneously preventing the formation of potential queues.
The Outcome.
With our custom solution, the company was able to accurately predict “point to point” passenger flows, allowing them to optimize their operations and better meet service needs. The simulation tool enabled them to plan services effectively, ensuring the proposed exercise program’s effectiveness, and preventing potential queues. As a result, the company saw an increase in operational efficiency, and overall business performance.
This case study demonstrates DaisyLabs’ commitment to providing innovative and effective solutions in the field of data management and risk assessment, leveraging Artificial Intelligence and Machine Learning.
Harnessing Artificial Intelligence and Machine Learning for Predictive Shipping and Customer Retention
The Client.
A leading Italian shipping and parcel delivery services company that offers a wide range of services, including managing national and international shipments and logistics services.
The Challenge.
The company needed to predict the trend of the shipment numbers and other related metrics for each of their customers. Additionally, they had to consider all aspects related to their service usage, such as the number of shipments, their frequency, and the presence of any service disruptions, like delivery delays or damaged products.
Our Solution.
In DaisyLabs’ Artificial Intelligence and Machine Learning division, we developed a time series analysis model to predict the trend of the number of shipments and other related metrics for each customer. Given the need to simultaneously analyze hundreds of thousands of different time series, we implemented an algorithm capable of providing accurate forecasts by leveraging trend and seasonality components, while also ensuring high performance to handle the large volume of time series to be processed.
Furthermore, DaisyLabs developed a classification model to calculate the probability of customer churn, considering all aspects related to their service usage. This model provided the business with a tool to promptly identify customers at risk of churn and take appropriate countermeasures.
The Outcome.
With our custom solution, the company was able to accurately predict the trend of shipment numbers and other related metrics, allowing them to optimize their operations and better meet customer needs. The classification model enabled them to identify customers at risk of churn in a timely manner, leading to improved customer retention. As a result, the company saw an increase in operational efficiency, customer satisfaction, and overall business performance.
This case study demonstrates DaisyLabs’ commitment to providing innovative and effective solutions in the field of data management and risk assessment, leveraging Artificial Intelligence and Machine Learning.
Discover how our AI & Machine Learning solutions can benefits your business
